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@article{alam2024propagandahatemultimodalanalysis,
title={Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs},
author={Firoj Alam and Md. Rafiul Biswas and Uzair Shah and Wajdi Zaghouani and Georgios Mikros},
booktitle = {Proceedings of The 25th International Web Information Systems Engineering Conference (WISE)},
year = {2024},
address = {Doha, Qatar},
url={https://arxiv.org/abs/2409.07246},
}
@article{alam2024armeme,
title={{ArMeme}: Propagandistic Content in Arabic Memes},
author={Alam, Firoj and Hasnat, Abul and Ahmed, Fatema and Hasan, Md Arid and Hasanain, Maram},
year={2024},
booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
address={Miami, Florida},
month={November 12–16},
publisher={Association for Computational Linguistics},
journal={arXiv: 2406.03916},
}
@article{ThatiAR2024,
title={{ThatiAR}: Subjectivity Detection in Arabic News Sentences},
author={Reem Suwaileh and Maram Hasanain and Fatema Hubail and Wajdi Zaghouani and Firoj Alam},
year={2024},
journal={arXiv: 2406.05559},
}
@InProceedings{CheckThat:ECIR2024,
author="Barr{\'o}n-Cede{\~{n}}o, Alberto
and Alam, Firoj
and Chakraborty, Tanmoy
and Elsayed, Tamer
and Nakov, Preslav
and Przyby{\l}a, Piotr
and Stru{\ss}, Julia Maria
and Haouari, Fatima
and Hasanain, Maram
and Ruggeri, Federico
and Song, Xingyi
and Suwaileh, Reem",
editor="Goharian, Nazli
and Tonellotto, Nicola
and He, Yulan
and Lipani, Aldo
and McDonald, Graham
and Macdonald, Craig
and Ounis, Iadh",
title="The {CLEF}-2024 {C}heck{T}hat! {L}ab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness",
booktitle="Advances in Information Retrieval",
year="2024",
publisher="Springer Nature Switzerland",
NOaddress="Cham",
pages="449--458",
abstract="The first five editions of the CheckThat! lab focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. Since the 2023 edition, it has been focusing on new problems that can support the research and decision making during the verification process. In this new edition, we focus on new problems and ---for the first time--- we propose six tasks in fifteen languages (Arabic, Bulgarian, English, Dutch, French, Georgian, German, Greek, Italian, Polish, Portuguese, Russian, Slovene, Spanish, and code-mixed Hindi-English): Task 1 estimation of check-worthiness (the only task that has been present in all CheckThat! editions), Task 2 identification of subjectivity (a follow up of CheckThat! 2023 edition), Task 3 identification of persuasion (a follow up of SemEval 2023), Task 4 detection of hero, villain, and victim from memes (a follow up of CONSTRAINT 2022), Task 5 Rumor Verification using Evidence from Authorities (a first), and Task 6 robustness of credibility assessment with adversarial examples (a first). These tasks represent challenging classification and retrieval problems at the document and at the span level, including multilingual and multimodal settings.",
isbn="978-3-031-56069-9",
}
@inproceedings{hasanain-etal-2024-araieval,
title = "{A}r{AIE}val Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal {A}rabic Content",
author = "Hasanain, Maram and
Hasan, Md. Arid and
Ahmad, Fatema and
Suwaileh, Reem and
Biswas, Md. Rafiul and
Zaghouani, Wajdi and
Alam, Firoj",
editor = "Habash, Nizar and
Bouamor, Houda and
Eskander, Ramy and
Tomeh, Nadi and
Abu Farha, Ibrahim and
Abdelali, Ahmed and
Touileb, Samia and
Hamed, Injy and
Onaizan, Yaser and
Alhafni, Bashar and
Antoun, Wissam and
Khalifa, Salam and
Haddad, Hatem and
Zitouni, Imed and
AlKhamissi, Badr and
Almatham, Rawan and
Mrini, Khalil",
booktitle = "Proceedings of The Second Arabic Natural Language Processing Conference",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.arabicnlp-1.44",
pages = "456--466",
abstract = "We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. In this edition, ArAIEval offers two tasks: (i) detection of propagandistic textual spans with persuasion techniques identification in tweets and news articles, and (ii) distinguishing between propagandistic and non-propagandistic memes. A total of 14 teams participated in the final evaluation phase, with 6 and 9 teams participating in Tasks 1 and 2, respectively. Finally, 11 teams submitted system description papers. Across both tasks, we observed that fine-tuning transformer models such as AraBERT was at the core of the majority of the participating systems. We provide a description of the task setup, including a description of the dataset construction and the evaluation setup. We further provide a brief overview of the participating systems. All datasets and evaluation scripts are released to the research community. We hope this will enable further research on these important tasks in Arabic.",
}
@InProceedings{clef-checkthat:2024-lncs,
author="Barr{\'o}n-Cede{\~{n}}o, Alberto
and Alam, Firoj
and Stru{\ss}, Julia Maria
and Nakov, Preslav
and Chakraborty, Tanmoy
and Elsayed, Tamer
and Przybyła, Piotr
and Caselli, Tommaso
and Da San Martino, Giovanni
and Haouari, Fatima
and Li, Chengkai
and Piskorski, Jakub
and Ruggeri, Federico
and Song, Xingyi
and Suwaileh, Reem",
title="Overview of the {CLEF}-2024 {CheckThat! Lab}: Check-Worthiness, Subjectivity, Persuasion, Roles,
Authorities and Adversarial Robustness",
editor="Goeuriot, Lorraine
and Mulhem, Philippe
and Quénot, Georges
and Schwab, Didier
and Soulier, Laure
and Di Nunzio, Giorgio Maria
and Galuščáková, Petra
and García Seco de Herrera, Alba
and Faggioli, Guglielmo
and Ferro, Nicola",
booktitle="Experimental IR Meets Multilinguality, Multimodality, and Interaction.
Proceedings of the Fifteenth International Conference of the CLEF Association (CLEF 2024)",
year="2024",
}
@InProceedings{clef-checkthat:2024:task1,
author = {
Hasanain, Maram
and Suwaileh, Reem
and Weering, Sanne
and Li, Chengkai
and Caselli, Tommaso
and Zaghouani, Wajdi
and Barr\'{o}n-Cede\~{n}o, Alberto
and Nakov, Preslav
and Alam, Firoj},
title = "Overview of the {CLEF}-2024 {CheckThat}! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content",
booktitle = "Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum",
series = "CLEF~2024",
address = "Grenoble, France",
year = 2024,
}
@InProceedings{clef-checkthat:2024:task2,
author = {Stru\ss, Julia Maria and Ruggeri, Federico and Barr\'on-Cede\~no, Alberto and Alam, Firoj and Dimitrov, Dimitar and Galassi, Andrea and Pachov, Georgi and Koychev, Ivan and Nakov, Preslav and Siegel, Melanie and Wiegand, Michael and Hasanain, Maram and Suwaileh, Reem and Zaghouani, Wajdi},
title = {Overview of the {CLEF}-2024 {CheckThat}! Lab Task 2 on Subjectivity in News Articles},
booktitle = "Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum",
series = "CLEF~2024",
address = "Grenoble, France",
year = 2024,
}
@inproceedings{clef-checkthat:2024:task3,
title={Overview of the {CLEF-2024 CheckThat!} Lab Task 3 on Persuasion Techniques},
author={
Piskorski, Jakub
and Stefanovitch, Nicolas
and Alam, Firoj
and Campos, Ricardo
and Dimitrov, Dimitar
and Jorge, Al{\'\i}pio
and Pollak, Senja
and Ribin, Nikolay
and Fijav{\v{z}}, Zoran
and Hasanain, Maram
and Guimar{\~a}es, Nuno
and Pacheco, Ana Filipa
and Sartori, Elisa
and Silvano, Purifica{\c{c}}{\~a}o
and Zwitter, Ana Vitez
and Koychev, Ivan
and Yu, Nana
and Nakov, Preslav
and Da San Martino, Giovanni},
booktitle = "Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum",
series = "CLEF~2024",
address = "Grenoble, France",
year = 2024,
}
@inproceedings{dimitrov-etal-2024-semeval,
address = {Mexico City, Mexico},
author = {Dimitrov, Dimitar and Alam, Firoj and Hasanain, Maram and Hasnat, Abul and Silvestri, Fabrizio and Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)},
date-modified = {2024-08-03 11:44:50 +0300},
editor = {Ojha, Atul Kr. and Do{\u{g}}ru{\"o}z, A. Seza and Tayyar Madabushi, Harish and Da San Martino, Giovanni and Rosenthal, Sara and Ros{\'a}, Aiala},
month = jun,
pages = {2009--2026},
publisher = {Association for Computational Linguistics},
title = {{S}em{E}val-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes},
year = {2024},
url = {https://aclanthology.org/2024.semeval-1.275},
doi = {https://doi.org/10.18653/v1/2024.semeval-1.275},
}
@inproceedings{clef-checkthat:2023:task2,
author = {Galassi, Andrea and Ruggeri, Federico and Barr\'{o}n-Cede\~{n}o, Alberto and Alam, Firoj and Caselli, Tommaso and Kutlu, Mucahid and Struss, {Julia Maria} and Antici, Francesco and Hasanain, Maram and K{\"o}hler, Juliane and Korre, Katerina and Leistra, Folkert and Muti, Arianna and Siegel, Melanie and Turkmen. {Mehmet Deniz} and Wiegand, Michael and Zaghouani, Wajdi},
crossref = {clef2023-workingnotes},
date-modified = {2024-08-03 12:29:30 +0300},
title = {Overview of the {CLEF}-2023 {CheckThat}! Lab Task 2 on Subjectivity in News Articles},
year = {2023},
}
@inproceedings{clef-checkthat:2023:task3,
author = {Da San Martino, Giovanni and Alam, Firoj and Hasanain, Maram and Nandi, Rabindra Nath and Azizov, Dilshod and Nakov, Preslav},
booktitle = {Working Notes of {CLEF} 2023 - Conference and Labs of the Evaluation Forum},
crossref = {clef2023-workingnotes},
date-modified = {2024-08-03 12:30:07 +0300},
title = {Overview of the {CLEF}-2023 {CheckThat}! Lab Task 3 on Political Bias of News Articles and News Media},
year = {2023},
}
@inproceedings{barron2023clef,
author = {Barr{\'o}n-Cede{\~n}o, Alberto and Alam, Firoj and Caselli, Tommaso and Da San Martino, Giovanni and Elsayed, Tamer and Galassi, Andrea and Haouari, Fatima and Ruggeri, Federico and Stru{\ss}, Julia Maria and Nandi, Rabindra Nath and others},
booktitle = {European Conference on Information Retrieval},
organization = {Springer},
pages = {506--517},
title = {The clef-2023 checkthat! lab: Checkworthiness, subjectivity, political bias, factuality, and authority},
year = {2023},
}
@inproceedings{nandi-etal-2023-pseudo,
abstract = {One of the major challenges for developing automatic speech recognition (ASR) for low-resource languages is the limited access to labeled data with domain-specific variations. In this study, we propose a pseudo-labeling approach to develop a large-scale domain-agnostic ASR dataset. With the proposed methodology, we developed a 20k+ hours labeled Bangla speech dataset covering diverse topics, speaking styles, dialects, noisy environments, and conversational scenarios. We then exploited the developed corpus to design a conformer-based ASR system. We benchmarked the trained ASR with publicly available datasets and compared it with other available models. To investigate the efficacy, we designed and developed a human-annotated domain-agnostic test set composed of news, telephony, and conversational data among others. Our results demonstrate the efficacy of the model trained on psuedo-label data for the designed test-set along with publicly-available Bangla datasets. The experimental resources will be publicly available.https://github.com/hishab-nlp/Pseudo-Labeling-for-Domain-Agnostic-Bangla-ASR},
address = {Singapore},
author = {Nandi, Rabindra Nath and Menon, Mehadi and Muntasir, Tareq and Sarker, Sagor and Muhtaseem, Quazi Sarwar and Islam, Md. Tariqul and Chowdhury, Shammur and Alam, Firoj},
booktitle = {Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)},
date-modified = {2024-08-03 12:08:38 +0300},
editor = {Alam, Firoj and Kar, Sudipta and Chowdhury, Shammur Absar and Sadeque, Farig and Amin, Ruhul},
month = dec,
pages = {152--162},
publisher = {Association for Computational Linguistics},
title = {Pseudo-Labeling for Domain-Agnostic {B}angla Automatic Speech Recognition},
year = {2023},
url = {https://aclanthology.org/2023.banglalp-1.16},
doi = {https://doi.org/10.18653/v1/2023.banglalp-1.16},
}
@article{hasanain2023large,
author = {Hasanain, Maram and Ahmed, Fatema and Alam, Firoj},
journal = {arXiv preprint arXiv:2311.09812},
title = {Large language models for propaganda span annotation},
year = {2023},
selected={true},
preview={prop_example.png},
}
@inproceedings{hasanain-etal-2024-gpt,
address = {Torino, Italia},
author = {Hasanain, Maram and Ahmad, Fatema and Alam, Firoj},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
date-modified = {2024-08-03 11:44:50 +0300},
editor = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
month = may,
pages = {2724--2744},
publisher = {ELRA and ICCL},
title = {Can {GPT}-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles},
year = {2024},
url = {https://aclanthology.org/2024.lrec-main.244},
}
@inproceedings{hasanain-etal-2023-araieval,
address = {Singapore (Hybrid)},
author = {Hasanain, Maram and Alam, Firoj and Mubarak, Hamdy and Abdaljalil, Samir and Zaghouani, Wajdi and Nakov, Preslav and Da San Martino, Giovanni and Freihat, Abed},
booktitle = {Proceedings of ArabicNLP 2023},
date-modified = {2024-08-03 11:44:50 +0300},
editor = {Sawaf, Hassan and El-Beltagy, Samhaa and Zaghouani, Wajdi and Magdy, Walid and Abdelali, Ahmed and Tomeh, Nadi and Abu Farha, Ibrahim and Habash, Nizar and Khalifa, Salam and Keleg, Amr and Haddad, Hatem and Zitouni, Imed and Mrini, Khalil and Almatham, Rawan},
month = dec,
pages = {483--493},
publisher = {Association for Computational Linguistics},
title = {{A}r{AIE}val Shared Task: Persuasion Techniques and Disinformation Detection in {A}rabic Text},
year = {2023},
url = {https://aclanthology.org/2023.arabicnlp-1.44},
bdsk-url-2 = {https://doi.org/10.18653/v1/2023.arabicnlp-1.44},
bibtex_show={true}
}
@inproceedings{hasanain-etal-2023-qcri,
title = "{QCRI} at {S}em{E}val-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models",
author = "Hasanain, Maram and
El-Shangiti, Ahmed and
Nandi, Rabindra Nath and
Nakov, Preslav and
Alam, Firoj",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.172",
doi = "10.18653/v1/2023.semeval-1.172",
pages = "1237--1244",
abstract = "Misinformation spreading in mainstream and social media has been misleading users in different ways. Manual detection and verification efforts by journalists and fact-checkers can no longer cope with the great scale and quick spread of misleading information. This motivated research and industry efforts to develop systems for analyzing and verifying news spreading online. The SemEval-2023 Task 3 is an attempt to address several subtasks under this overarching problem, targeting writing techniques used in news articles to affect readers{'} opinions. The task addressed three subtasks with six languages, in addition to three {``}surprise{''} test languages, resulting in 27 different test setups. This paper describes our participating system to this task. Our team is one of the 6 teams that successfully submitted runs for all setups. The official results show that our system is ranked among the top 3 systems for 10 out of the 27 setups.",
}
@inproceedings{barron2023clef,
title={The clef-2023 checkthat! lab: Checkworthiness, subjectivity, political bias, factuality, and authority},
author={Barr{\'o}n-Cede{\~n}o, Alberto and Alam, Firoj and Caselli, Tommaso and Da San Martino, Giovanni and Elsayed, Tamer and Galassi, Andrea and Haouari, Fatima and Ruggeri, Federico and Stru{\ss}, Julia Maria and Nandi, Rabindra Nath and others},
booktitle={European Conference on Information Retrieval},
pages={506--517},
year={2023},
organization={Springer}
}
@inproceedings{alam2022overview,
title={Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic},
author={Alam, Firoj and Mubarak, Hamdy and Zaghouani, Wajdi and Da San Martino, Giovanni and Nakov, Preslav},
booktitle={Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP)},
pages={108--118},
year={2022}
}
@inproceedings{mubarak2022arabgend,
title={ArabGend: Gender Analysis and Inference on Arabic Twitter},
author={Mubarak, Hamdy and Chowdhury, Shammur Absar and Alam, Firoj},
booktitle={Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022)},
pages={124--135},
year={2022}
}
@inproceedings{alam2022survey,
title={A Survey on Multimodal Disinformation Detection},
author={Alam, Firoj and Cresci, Stefano and Chakraborty, Tanmoy and Silvestri, Fabrizio and Dimitrov, Dimiter and Da San Martino, Giovanni and Shaar, Shaden and Firooz, Hamed and Nakov, Preslav},
booktitle={Proceedings of the 29th International Conference on Computational Linguistics},
pages={6625--6643},
year={2022}
}
@inproceedings{clef-checkthat:2022:LNCS,
address = {Bologna, Italy},
author = {Nakov, Preslav and Barr\'{o}n-Cede\~{n}o, Alberto and Da San Martino, Giovanni and Alam, Firoj and Stru\ss{}, Julia Maria and Mandl, Thomas and M\'{\i}guez, Rub\'{e}n and Caselli, Tommaso and Kutlu, Mucahid and Zaghouani, Wajdi and Li, Chengkai and Shaar, Shaden and Shahi, Gautam Kishore and Mubarak, Hamdy and Nikolov, Alex and Babulkov, Nikolay and Kartal, Yavuz Selim and Beltr\'{a}n, Javier and Wiegand, Michael and Siegel, Melanie and K{\"o}hler, Juliane},
booktitle = {Proceedings of the 13th International Conference of the {CLEF} Association: Information Access Evaluation meets Multilinguality, Multimodality, and Visualization},
series = {CLEF~'2022},
title = {Overview of the {CLEF}-2022 {CheckThat}! Lab on Fighting the {COVID-19} Infodemic and Fake News Detection},
year = {2022}
}
@inproceedings{clef-checkthat:2022:task1,
address = {Bologna, Italy},
author = {Nakov, Preslav and Barr\'{o}n-Cede\~{n}o, Alberto and Da San Martino, Giovanni and Alam, Firoj and M\'{\i}guez, Rub\'{e}n and Caselli, Tommaso and Kutlu, Mucahid and Zaghouani, Wajdi and Li, Chengkai and Shaar, Shaden and Mubarak, Hamdy and Nikolov, Alex and Kartal, Yavuz Selim and Beltr\'{a}n, Javier},
booktitle = {Working Notes of {CLEF} 2022---Conference and Labs of the Evaluation Forum},
series = {CLEF~'2022},
title = {Overview of the {CLEF}-2022 {CheckThat}! Lab Task 1 on Identifying Relevant Claims in Tweets},
year = {2022}
}
@inproceedings{clef-checkthat:2022:task2,
address = {Bologna, Italy},
author = {Nakov, Preslav and Da San Martino, Giovanni and Alam, Firoj and Shaar, Shaden and Mubarak, Hamdy and Babulkov, Nikolay},
booktitle = {Working Notes of {CLEF} 2022---Conference and Labs of the Evaluation Forum},
series = {CLEF~'2022},
title = {Overview of the {CLEF}-2022 {CheckThat}! Lab Task 2 on Detecting Previously Fact-Checked Claims},
year = {2022}
}
@inproceedings{nakov2022fact,
author = {Nakov, Preslav and Da San Martino, Giovanni and Alam, Firoj},
booktitle = {Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining},
pages = {1632--1634},
title = {Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic},
year = {2022}
}
@inproceedings{nakov2022clef,
author = {Nakov, Preslav and Barr{\'o}n-Cede{\~n}o, Alberto and Da San Martino, Giovanni and Alam, Firoj and Stru{\ss}, Julia Maria and Mandl, Thomas and M{\'\i}guez, Rub{\'e}n and Caselli, Tommaso and Kutlu, Mucahid and Zaghouani, Wajdi and others},
booktitle = {European Conference on Information Retrieval},
organization = {Springer},
pages = {416--428},
title = {The CLEF-2022 CheckThat! lab on fighting the COVID-19 infodemic and fake news detection},
year = {2022}
}
@InProceedings{clef-checkthat:2022:task1:prerona,
author = {Prerona Tarannum and Md. Arid, Hasan and Firoj Alam and Sheak Rashed Haider Noori},
title = "{Z-Index at CheckThat! Lab 2022:} Check-Worthiness Identification on Tweet Text",
year = {2022},
booktitle = "Working Notes of {CLEF} 2022 - Conference and Labs of the Evaluation Forum",
series = {CLEF~'2022},
address = {Bologna, Italy},
}
@inproceedings{nandi2022teamx,
author = {Nandi, Rabindra Nath and Alam, Firoj and Nakov, Preslav},
booktitle = {Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages},
pages = {79--85},
title = {TeamX@ DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification},
year = {2022}
}
@inproceedings{nandi2022detecting,
author = {Nandi, Rabindra Nath and Alam, Firoj and Nakov, Preslav},
booktitle = {Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations},
pages = {43--54},
title = {Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations},
year = {2022}
}
@inproceedings{masud2022half,
author = {Masud, Sarah and Pinkesh, Pinkesh and Das, Amitava and Gupta, Manish and Nakov, Preslav and Chakraborty, Tanmoy},
booktitle = {Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining},
pages = {1629--1631},
title = {Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc.},
year = {2022}
}
@inproceedings{ijcai2022p781,
title = {Detecting and Understanding Harmful Memes: A Survey},
author = {Sharma, Shivam and Alam, Firoj and Akhtar, Md. Shad and Dimitrov, Dimitar and Da San Martino, Giovanni and Firooz, Hamed and Halevy, Alon and Silvestri, Fabrizio and Nakov, Preslav and Chakraborty, Tanmoy},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {5597--5606},
year = {2022},
month = {7},
note = {Survey Track},
doi = {10.24963/ijcai.2022/781},
url = {https://doi.org/10.24963/ijcai.2022/781},
}
@article{huang2022faking,
author = {Huang, Kung-Hsiang and McKeown, Kathleen and Nakov, Preslav and Choi, Yejin and Ji, Heng},
journal = {arXiv preprint arXiv:2203.05386},
title = {Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation},
year = {2022}
}
@inproceedings{muresan2022proceedings,
author = {Muresan, Smaranda and Nakov, Preslav and Villavicencio, Aline},
booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
title = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
year = {2022}
}
@article{nakov2022qcri,
author = {Nakov, Preslav and Alam, Firoj and Zhang, Yifan and Prakash, Animesh and Dalvi, Fahim},
journal = {arXiv preprint arXiv:2204.03506},
title = {QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media},
year = {2022}
}
@article{nakov2022computational,
author = {Nakov, Preslav},
journal = {Creating a More Transparent Internet: The Perspective Web},
pages = {31},
publisher = {Cambridge University Press},
title = {Computational Linguistics for Subjectivity},
year = {2022}
}
@inproceedings{sharma2022findings,
author = {Sharma, Shivam and Suresh, Tharun and Kulkarni, Atharva and Mathur, Himanshi and Nakov, Preslav and Akhtar, Md Shad and Chakraborty, Tanmoy},
booktitle = {Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations},
pages = {1--11},
title = {Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes},
year = {2022}
}
@inproceedings{chakraborty2022proceedings,
author = {Chakraborty, Tanmoy and Akhtar, Md Shad and Shu, Kai and Bernard, H Russell and Liakata, Maria and Nakov, Preslav and Sharma, Shivam and Sharma, Chhavi and Kumar, Shivani and Atri, Yash Kumar and others},
booktitle = {Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations},
title = {Proceedings of the Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations},
year = {2022}
}
@inproceedings{muresan2022findings,
author = {Muresan, Smaranda and Nakov, Preslav and Villavicencio, Aline},
booktitle = {Findings of the Association for Computational Linguistics: ACL 2022},
title = {Findings of the Association for Computational Linguistics: ACL 2022},
year = {2022}
}
@inproceedings{yu2021interpretable,
author = {Yu, Seunghak and Da San Martino, Giovanni and Mohtarami, Mitra and Glass, James and Nakov, Preslav},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)},
pages = {1597--1605},
title = {Interpretable Propaganda Detection in News Articles},
year = {2021}
}
@inproceedings{mihaylova2021dips,
author = {Mihaylova, Simona and Borisova, Iva and Chemishanov, Dzhovani and Hadzhitsanev, Preslav and Hardalov, Momchil and Nakov, Preslav},
title = {DIPS at CheckThat! 2021: Verified Claim Retrieval.},
year = {2021}
}
@inproceedings{vachev2021generating,
author = {Vachev, Kristiyan and Hardalov, Momchil and Karadzhov, Georgi and Georgiev, Georgi and Koychev, Ivan and Nakov, Preslav},
booktitle = {Proceedings of the Student Research Workshop Associated with RANLP 2021},
pages = {203--209},
title = {Generating Answer Candidates for Quizzes and Answer-Aware Question Generators},
year = {2021}
}
@inproceedings{nakov2021fake2,
author = {Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
pages = {4054--4055},
title = {Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic},
year = {2021}
}
@inproceedings{chernyavskiy2021whatthewikifact,
author = {Chernyavskiy, Anton and Ilvovsky, Dmitry and Nakov, Preslav},
booktitle = {Proceedings of the 30th ACM International Conference on Information \& Knowledge Management},
pages = {4690--4695},
title = {WhatTheWikiFact: Fact-Checking Claims Against Wikipedia},
year = {2021}
}
@inproceedings{alhindi2021arastance,
author = {Alhindi, Tariq and Alabdulkarim, Amal and Alshehri, Ali and Abdul-Mageed, Muhammad and Nakov, Preslav},
booktitle = {Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
pages = {57--65},
title = {AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking},
year = {2021}
}
@article{hristakieva2021spread,
author = {Hristakieva, Kristina and Cresci, Stefano and Martino, Giovanni Da San and Conti, Mauro and Nakov, Preslav},
journal = {arXiv preprint arXiv:2109.13046},
title = {The spread of propaganda by coordinated communities on social media},
year = {2021}
}
@inproceedings{piskorski2021slav,
author = {Piskorski, Jakub and Babych, Bogdan and Kancheva, Zara and Kanishcheva, Olga and Lebedeva, Maria and Marci{\'n}czuk, Micha{\l} and Nakov, Preslav and Osenova, Petya and Pivovarova, Lidia and Pollak, Senja and others},
booktitle = {Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing},
pages = {122--133},
title = {Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages},
year = {2021}
}
@book{zampieri2021similar,
author = {Zampieri, Marcos and Nakov, Preslav},
publisher = {Cambridge University Press},
title = {Similar Languages, Varieties, and Dialects: A Computational Perspective},
year = {2021}
}
@inproceedings{nakov2021fake,
author = {Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 30th ACM International Conference on Information \& Knowledge Management},
pages = {4862--4865},
title = {Fake News, Disinformation, Propaganda, and Media Bias},
year = {2021}
}
@inproceedings{dangovski2021we,
author = {Dangovski, Rumen and Shen, Michelle and Byrd, Dawson and Jing, Li and Tsvetkova, Desislava and Nakov, Preslav and Solja{\v{c}}i{\'c}, Marin},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
number = {14},
pages = {12728--12737},
title = {We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale},
volume = {35},
year = {2021}
}
@article{skuczynska2021beasku,
author = {Skuczy{\'n}ska, Beata and Shaar, Shaden and Spenader, Jennifer and Nakov, Preslav},
title = {BeaSku at CheckThat! 2021: fine-tuning sentence BERT with triplet loss and limited data},
year = {2021}
}
@article{chernyavskiy2021batch,
author = {Chernyavskiy, Anton and Ilvovsky, Dmitry and Kalinin, Pavel and Nakov, Preslav},
journal = {arXiv preprint arXiv:2110.15725},
title = {Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks},
year = {2021}
}
@article{nakov2021survey,
author = {Nakov, Preslav and Sencar, Husrev Taha and An, Jisun and Kwak, Haewoon},
journal = {arXiv preprint arXiv:2103.12506},
title = {A survey on predicting the factuality and the bias of news media},
year = {2021}
}
@inproceedings{bozhanova2021predicting,
author = {Bozhanova, Krasimira and Dinkov, Yoan and Koychev, Ivan and Castaldo, Maria and Venturini, Tommaso and Nakov, Preslav},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)},
pages = {182--189},
title = {Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels},
year = {2021}
}
@article{nakov202111,
author = {Nakov, Preslav and Tiedemann, J{\"o}rg},
journal = {Similar Languages, Varieties, and Dialects: A Computational Perspective},
pages = {219},
publisher = {Cambridge University Press},
title = {11 Machine Translation between Similar Languages},
year = {2021}
}
@inproceedings{babych2021proceedings,
author = {Babych, Bogdan and Kanishcheva, Olga and Nakov, Preslav and Piskorski, Jakub and Pivovarova, Lidia and Starko, Vasyl and Steinberger, Josef and Yangarber, Roman and Marci{\'n}czuk, Micha{\l} and Pollak, Senja and others},
booktitle = {Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing},
title = {Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing},
year = {2021}
}
@incollection{nastase2021semantic,
author = {Nastase, Vivi and Szpakowicz, Stan and Nakov, Preslav and S{\'e}agdha, Diarmuid {\'O}},
booktitle = {Semantic Relations Between Nominals, Second Edition},
pages = {107--164},
publisher = {Springer},
title = {Semantic Relations and Deep Learning},
year = {2021}
}
@inproceedings{feldman2021proceedings,
author = {Feldman, Anna and Da San Martino, Giovanni and Leberknight, Chris and Nakov, Preslav},
booktitle = {Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
title = {Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
year = {2021}
}
@incollection{nastase2021relations,
author = {Nastase, Vivi and Szpakowicz, Stan and Nakov, Preslav and S{\'e}agdha, Diarmuid {\'O}},
booktitle = {Semantic Relations Between Nominals, Second Edition},
pages = {11--30},
publisher = {Springer},
title = {Relations Between Nominals, Relations Between Concepts},
year = {2021}
}
@incollection{nastase2021extracting,
author = {Nastase, Vivi and Szpakowicz, Stan and Nakov, Preslav and S{\'e}agdha, Diarmuid {\'O}},
booktitle = {Semantic Relations Between Nominals, Second Edition},
pages = {75--106},
publisher = {Springer},
title = {Extracting Semantic Relations with Little or No Supervision},
year = {2021}
}
@article{nguyen2021dialect,
author = {Nguyen, Dong and Zampieri, Marcos and Nakov, Preslav and others},
publisher = {Cambridge University Press},
title = {Dialect Variation on Social Media},
year = {2021}
}
@article{nakov2021jisun,
author = {Nakov, Preslav and Sencar, Husrev Taha},
date-modified = {2023-06-08 19:48:19 +0000},
journal = { arXiv/2103.12506},
title = {A survey on predicting the factuality and the bias of news media.},
year = {2021}
}
@article{shaar2021alberto,
author = {Shaar, Shaden and Hasanain, Maram and Hamdan, Bayan and Ali, Zien Sheikh and Haouari, Fatima and Nikolov, Alex and Kutlu, Mucahid and Kartal, Yavuz Selim and Alam, Firoj and Da San Martino, Giovanni and Alberto Barr{\'o} n-Cede no, and Rub{\'e}n M{\'\i}guez, and Javier Beltr{\'a}n, and Tamer Elsayed, and Preslav Nakov},
date-modified = {2022-06-16 13:33:39 +0000},
journal = {Working Notes of CLEF},
title = {Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates},
year = {2021}
}
@inproceedings{survey:2021:ai:fact-checkers,
author = {Preslav Nakov and David Corney and Maram Hasanain and Firoj Alam and Tamer Elsayed and Alberto Barr{\'{o}}n{-}Cede{\~{n}}o and Paolo Papotti and Shaden Shaar and Giovanni {Da San Martino}},
booktitle = {Proceedings of the 30th International Joint Conference on Artificial Intelligence},
pages = {4551--4558},
series = {IJCAI~'21},
title = {Automated Fact-Checking for Assisting Human Fact-Checkers},
year = {2021}
}
@inproceedings{da2021survey,
author = {Da San Martino, Giovanni and Cresci, Stefano and Barr{\'o}n-Cede{\~n}o, Alberto and Yu, Seunghak and Di Pietro, Roberto and Nakov, Preslav},
booktitle = {Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence},
pages = {4826--4832},
title = {A survey on computational propaganda detection},
year = {2021}
}
@inproceedings{nakov2021clef,
author = {Nakov, Preslav and Da San Martino, Giovanni and Elsayed, Tamer and Barr{\'o}n-Cedeno, Alberto and M{\'\i}guez, Rub{\'e}n and Shaar, Shaden and Alam, Firoj and Haouari, Fatima and Hasanain, Maram and Babulkov, Nikolay and others},
booktitle = {European Conference on Information Retrieval},
organization = {Springer},
pages = {639--649},
title = {The CLEF-2021 CheckThat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news},
year = {2021}
}
@inproceedings{dimitrov2021semeval,
author = {Dimitrov, Dimitar and Ali, Bishr Bin and Shaar, Shaden and Alam, Firoj and Silvestri, Fabrizio and Firooz, Hamed and Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)},
pages = {70--98},
title = {SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images},
year = {2021}
}
@article{ganesh2021compressing,
author = {Ganesh, Prakhar and Chen, Yao and Lou, Xin and Khan, Mohammad Ali and Yang, Yin and Sajjad, Hassan and Nakov, Preslav and Chen, Deming and Winslett, Marianne},
journal = {Transactions of the Association for Computational Linguistics},
pages = {1061--1080},
title = {Compressing Large-Scale Transformer-Based Models: A Case Study on BERT},
volume = {9},
year = {2021}
}
@inproceedings{nakov2021overview,
author = {Nakov, Preslav and Da San Martino, Giovanni and Elsayed, Tamer and Barr{\'o}n-Cede{\~n}o, Alberto and M{\'\i}guez, Rub{\'e}n and Shaar, Shaden and Alam, Firoj and Haouari, Fatima and Hasanain, Maram and Mansour, Watheq and others},
booktitle = {International Conference of the Cross-Language Evaluation Forum for European Languages},
organization = {Springer},
pages = {264--291},
title = {Overview of the CLEF--2021 CheckThat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news},
year = {2021}
}
@inproceedings{alam2021fighting,
author = {Alam, Firoj and Shaar, Shaden and Dalvi, Fahim and Sajjad, Hassan and Nikolov, Alex and Mubarak, Hamdy and Da San Martino, Giovanni and Abdelali, Ahmed and Durrani, Nadir and Darwish, Kareem and others},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021},
pages = {611--649},
title = {Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society},
year = {2021}
}
@inproceedings{alam2021fightingicwsm,
author = {Alam, Firoj and Dalvi, Fahim and Shaar, Shaden and Durrani, Nadir and Mubarak, Hamdy and Nikolov, Alex and Da San Martino, Giovanni and Abdelali, Ahmed and Sajjad, Hassan and Darwish, Kareem and others},
booktitle = {ICWSM},
pages = {913--922},
title = {Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.},
year = {2021}
}
@article{hardalov2021survey,
author = {Hardalov, Momchil and Arora, Arnav and Nakov, Preslav and Augenstein, Isabelle},
journal = {arXiv preprint arXiv:2103.00242},
title = {A survey on stance detection for mis-and disinformation identification},
year = {2021}
}
@inproceedings{pramanick2021momenta,
author = {Pramanick, Shraman and Sharma, Shivam and Dimitrov, Dimitar and Akhtar, Md Shad and Nakov, Preslav and Chakraborty, Tanmoy},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021},
pages = {4439--4455},
title = {MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets},
year = {2021}
}
@inproceedings{shaar2021findings,
author = {Shaar, Shaden and Alam, Firoj and Da San Martino, Giovanni and Nikolov, Alex and Zaghouani, Wajdi and Nakov, Preslav and Feldman, Anna},
booktitle = {Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
pages = {82--92},
title = {Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection},
year = {2021}
}
@inproceedings{dimitrov2021detecting,
author = {Dimitrov, Dimitar and Ali, Bishr Bin and Shaar, Shaden and Alam, Firoj and Silvestri, Fabrizio and Firooz, Hamed and Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
pages = {6603--6617},
title = {Detecting Propaganda Techniques in Memes},
year = {2021}
}
@inproceedings{pramanick2021detecting,
author = {Pramanick, Shraman and Dimitrov, Dimitar and Mukherjee, Rituparna and Sharma, Shivam and Akhtar, Md Shad and Nakov, Preslav and Chakraborty, Tanmoy},
booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
pages = {2783--2796},
title = {Detecting Harmful Memes and Their Targets},
year = {2021}
}
@article{nakov2021detecting,
author = {Nakov, Preslav and Nayak, Vibha and Dent, Kyle and Bhatawdekar, Ameya and Sarwar, Sheikh Muhammad and Hardalov, Momchil and Dinkov, Yoan and Zlatkova, Dimitrina and Bouchard, Guillaume and Augenstein, Isabelle},
journal = {arXiv preprint arXiv:2103.00153},
title = {Detecting abusive language on online platforms: A critical analysis},
year = {2021}
}
@inproceedings{chernyavskiy2021transformers,
author = {Chernyavskiy, Anton and Ilvovsky, Dmitry and Nakov, Preslav},
booktitle = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
organization = {Springer},
pages = {677--693},
title = {Transformers:``The End of History'' for Natural Language Processing?},
year = {2021}
}
@article{nastase2021semantic2,
author = {Nastase, Vivi and Szpakowicz, Stan and Nakov, Preslav and S{\'e}agdha, Diarmuid {\'O}},
journal = {Synthesis lectures on human language technologies},
number = {1},
pages = {1--234},
publisher = {Morgan \& Claypool Publishers},
title = {Semantic relations between nominals},
volume = {14},
year = {2021}
}
@inproceedings{rosenthal2021solid,
author = {Rosenthal, Sara and Atanasova, Pepa and Karadzhov, Georgi and Zampieri, Marcos and Nakov, Preslav},
booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021},
pages = {915--928},
title = {SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification},
year = {2021}
}
@inproceedings{baly2020written,
author = {Baly, Ramy and Karadzhov, Georgi and An, Jisun and Kwak, Haewoon and Dinkov, Yoan and Ali, Ahmed and Glass, James and Nakov, Preslav},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
pages = {3364--3374},
title = {What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context},
year = {2020}
}
@inproceedings{khoury2020vector,
author = {Khoury, Matthew and Dangovski, Rumen and Ou, Longwu and Nakov, Preslav and Shen, Yichen and Jing, Li},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages = {7975--7984},
title = {Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications},
year = {2020}
}
@inproceedings{nakov2020fact,
author = {Nakov, Preslav and Da San Martino, Giovanni},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts},
pages = {7--19},
title = {Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era},
year = {2020}
}
@article{sajjad2020effect,
author = {Sajjad, Hassan and Dalvi, Fahim and Durrani, Nadir and Nakov, Preslav},
journal = {arXiv preprint arXiv:2004.03844},
title = {On the effect of dropping layers of pre-trained transformer models},
year = {2020}
}
@article{ramirez2020novel,
author = {Ram{\'\i}rez, Guillem and Dangovski, Rumen and Nakov, Preslav and Solja{\v{c}}i{\'c}, Marin},
journal = {arXiv preprint arXiv:2007.09456},
title = {On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning},
year = {2020}
}
@article{rugina2020data,
author = {Rugina, Ileana and Dangovski, Rumen and Jing, Li and Nakov, Preslav and Solja{\v{c}}i{\'c}, Marin},
journal = {arXiv preprint arXiv:2012.02030},
title = {Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks},
year = {2020}
}
@inproceedings{zampieri2020proceedings,
author = {Zampieri, Marcos and Nakov, Preslav and Ljube{\v{s}}i{\'c}, Nikola and Tiedemann, J{\"o}rg and Scherrer, Yves},
booktitle = {Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects},
title = {Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects},
year = {2020}
}
@article{nakov2020flattening,
author = {Nakov, Preslav},
journal = {EVALITA Evaluation of NLP and Speech Tools for Italian-December 17th, 2020},
pages = {15},
title = {Flattening the curve of the COVID-19 infodemic: These evaluation campaigns can help!},
year = {2020}
}
@inproceedings{da2020proceedings,
author = {Da San Martino, Giovanni and Brew, Chris and Ciampaglia, Giovanni Luca and Feldman, Anna and Leberknight, Chris and Nakov, Preslav},
booktitle = {Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
title = {Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda},
year = {2020}
}
@inproceedings{nikolov2020team,
author = {Nikolov, Alex and Da San Martino, Giovanni and Koychev, Ivan and Nakov, Preslav},
booktitle = {CLEF},
title = {Team alex at clef checkthat! 2020: Identifying check-worthy tweets with transformer models},
year = {2020}
}
@article{prakhar2020compressing,
author = {Prakhar, Ganesh and Yao, Chen and Xin, Lou and Ali, Khan Mohammad and Yin, Yang and Deming, Chen and Marianne, Winslett and Hassan, Sajjad and Preslav, Nakov and others},
journal = {arXiv preprint arXiv: 2002.11985},
title = {Compressing large-scale transformer-based models: A case study on bert},
year = {2020}
}
@inproceedings{shaar2020known,
author = {Shaar, Shaden and Babulkov, Nikolay and Da San Martino, Giovanni and Nakov, Preslav},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
pages = {3607--3618},
title = {That is a Known Lie: Detecting Previously Fact-Checked Claims},
year = {2020}
}
@inproceedings{da2020prta,
author = {Da San Martino, Giovanni and Shaar, Shaden and Zhang, Yifan and Yu, Seunghak and Barr{\'o}n-Cedeno, Alberto and Nakov, Preslav},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations},
pages = {287--293},
title = {Prta: A system to support the analysis of propaganda techniques in the news},
year = {2020}
}
@inproceedings{stefanov2020predicting,
author = {Stefanov, Peter and Darwish, Kareem and Atanasov, Atanas and Nakov, Preslav},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
pages = {527--537},
title = {Predicting the topical stance and political leaning of media using tweets},
year = {2020}
}
@inproceedings{zampieri2020semeval,
author = {Zampieri, Marcos and Nakov, Preslav and Rosenthal, Sara and Atanasova, Pepa and Karadzhov, Georgi and Mubarak, Hamdy and Derczynski, Leon and Pitenis, Zeses and {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
booktitle = {Proceedings of the Fourteenth Workshop on Semantic Evaluation},
pages = {1425--1447},
title = {SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)},
year = {2020}
}
@inproceedings{nguyen2020fang,
author = {Nguyen, Van-Hoang and Sugiyama, Kazunari and Nakov, Preslav and Kan, Min-Yen},
booktitle = {Proceedings of the 29th ACM international conference on information \& knowledge management},
pages = {1165--1174},
title = {Fang: Leveraging social context for fake news detection using graph representation},
year = {2020}
}
@article{rosenthal2020large,
author = {Rosenthal, Sara and Atanasova, Pepa and Karadzhov, Georgi and Zampieri, Marcos and Nakov, Preslav},
journal = {arXiv preprint arXiv:2004.14454},
title = {A large-scale semi-supervised dataset for offensive language identification},
year = {2020}
}
@inproceedings{da2020semeval,
author = {Da San Martino, Giovanni and Barr{\'o}n-Cede{\~n}o, Alberto and Wachsmuth, Henning and Petrov, Rostislav and Nakov, Preslav},
booktitle = {Proceedings of the Fourteenth Workshop on Semantic Evaluation},
pages = {1377--1414},
title = {SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles},
year = {2020}
}
@inproceedings{barron2020overview,
author = {Barr{\'o}n-Cede{\~n}o, Alberto and Elsayed, Tamer and Nakov, Preslav and Da San Martino, Giovanni and Hasanain, Maram and Suwaileh, Reem and Haouari, Fatima and Babulkov, Nikolay and Hamdan, Bayan and Nikolov, Alex and others},
booktitle = {International Conference of the Cross-Language Evaluation Forum for European Languages},
organization = {Springer},
pages = {215--236},
title = {Overview of CheckThat! 2020: Automatic identification and verification of claims in social media},
year = {2020}
}
@article{sajjad2020poor,
author = {Sajjad, Hassan and Dalvi, Fahim and Durrani, Nadir and Nakov, Preslav},
journal = {arXiv preprint arXiv:2004.03844},
title = {Poor man's bert: Smaller and faster transformer models},
year = {2020}
}
@inproceedings{darwish2020unsupervised,
author = {Darwish, Kareem and Stefanov, Peter and Aupetit, Micha{\"e}l and Nakov, Preslav},
booktitle = {Proceedings of the International AAAI Conference on Web and Social Media},
pages = {141--152},
title = {Unsupervised user stance detection on twitter},
volume = {14},
year = {2020}
}
@inproceedings{barron2020checkthat,
author = {Barr{\'o}n-Cedeno, Alberto and Elsayed, Tamer and Nakov, Preslav and Da San Martino, Giovanni and Hasanain, Maram and Suwaileh, Reem and Haouari, Fatima},
booktitle = {European Conference on Information Retrieval},
organization = {Springer},
pages = {499--507},
title = {Checkthat! at clef 2020: Enabling the automatic identification and verification of claims in social media},
year = {2020}
}
@inproceedings{shaar2020overview,
author = {Shaar, Shaden and Nikolov, Alex and Babulkov, Nikolay and Alam, Firoj and Barr{\'o}n-Cedeno, Alberto and Elsayed, Tamer and Hasanain, Maram and Suwaileh, Reem and Haouari, Fatima and Da San Martino, Giovanni and others},
booktitle = {International Conference of the Cross-Language Evaluation Forum for European Languages},
title = {Overview of CheckThat! 2020 English: Automatic identification and verification of claims in social media},
year = {2020}
}
@inproceedings{baly2020we,
author = {Baly, Ramy and Da San Martino, Giovanni and Glass, James and Nakov, Preslav},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages = {4982--4991},
title = {We Can Detect Your Bias: Predicting the Political Ideology of News Articles},
year = {2020}
}
@inproceedings{da2019fine,
author = {Da San Martino, Giovanni and Yu, Seunghak and Barr{\'o}n-Cedeno, Alberto and Petrov, Rostislav and Nakov, Preslav},
booktitle = {Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP)},
pages = {5636--5646},
title = {Fine-grained analysis of propaganda in news article},
year = {2019}
}
@inproceedings{zhang2019tanbih,
author = {Zhang, Yifan and Da San Martino, Giovanni and Barr{\'o}n-Cede{\~n}o, Alberto and Romeo, Salvatore and An, Jisun and Kwak, Haewoon and Staykovski, Todor and Jaradat, Israa and Karadzhov, Georgi and Baly, Ramy and others},
booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations},
pages = {223--228},
title = {Tanbih: Get To Know What You Are Reading},
year = {2019}
}
@inproceedings{staykovski2019dense,
author = {Staykovski, Todor and Barr{\'o}n-Cedeno, Alberto and Da San Martino, Giovanni and Nakov, Preslav},
title = {Dense vs. Sparse Representations for News Stream Clustering.},
year = {2019}
}
@article{yu2019experiments,
author = {Yu, Seunghak and Martino, Giovanni Da San and Nakov, Preslav},
journal = {arXiv preprint arXiv:1911.06815},
title = {Experiments in detecting persuasion techniques in the news},
year = {2019}
}
@article{martino2019fine,
author = {Martino, Giovanni Da San and Yu, Seunghak and Barr{\'o}n-Cede{\~n}o, Alberto and Petrov, Rostislav and Nakov, Preslav},
journal = {arXiv preprint arXiv:1910.02517},
title = {Fine-grained analysis of propaganda in news articles},
year = {2019}
}
@article{stefanov2019predicting,
author = {Stefanov, Peter and Darwish, Kareem and Atanasov, Atanas and Nakov, Preslav},
journal = {arXiv preprint arXiv:1907.01260},
title = {Predicting the topical stance of media and popular twitter users},
year = {2019}
}
@inproceedings{simeonova2019morpho,
author = {Simeonova, Lilia and Simov, Kiril and Osenova, Petya and Nakov, Preslav},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)},
pages = {1104--1113},
title = {A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition},
year = {2019}
}
@article{hardalov2019machine,
author = {Hardalov, Momchil and Koychev, Ivan and Nakov, Preslav},
journal = {Information},
number = {3},
pages = {82},
publisher = {MDPI},
title = {Machine reading comprehension for answer re-ranking in customer support chatbots},
volume = {10},
year = {2019}
}
@inproceedings{dinkov2019detecting,
author = {Dinkov, Yoan and Koychev, Ivan and Nakov, Preslav},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)},
pages = {247--258},
title = {Detecting Toxicity in News Articles: Application to Bulgarian},
year = {2019}
}
@article{nakov2019arabic,
author = {Nakov, Preslav and M{\`a}rquez, Llu{\'\i}s and Moschitti, Alessandro and Mubarak, Hamdy},
journal = {Natural Language Engineering},
number = {1},
pages = {5--41},
publisher = {Cambridge University Press},
title = {Arabic community question answering},
volume = {25},
year = {2019}
}
@article{gencheva2019context,
author = {Gencheva, Pepa and Koychev, Ivan and M{\`a}rquez, Llu{\'\i}s and Barr{\'o}n-Cede{\~n}o, Alberto and Nakov, Preslav},
journal = {arXiv preprint arXiv:1912.08084},
title = {A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates},
year = {2019}
}
@inproceedings{atanasova2019evaluating,
author = {Atanasova, Pepa and Karadzhov, Georgi and Kiprov, Yasen and Nakov, Preslav and Sebastiani, Fabrizio},
booktitle = {Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},