we also provide a IE tool based on ChatGPT, you can see in ChatIE
Note: we set a default openai key in the tool, you can tell us if the key reach the limit.
GPT4IE (GPT for Information Extraction) is a open-source and powerful IE tool demo. Enhanced by GPT3.5 and prompting, it aims to automatically extract structured information from a raw sentence and make a valuable in-depth analysis of the input sentence. Harnessing valuable structured information helps corporations make incisive and business–improving decisions.
We support the following functions:
| Task | Name | Lauguages |
|---|---|---|
| RE | entity-relation joint extraction | Chinese, English |
| NER | named entity recoginzation | Chinese, English |
| EE | event extraction | Chinese, English |
This task aims to extract triples from plain texts, such as (China, capital, Beijing) , (《如懿传》, 主演, 周迅).
- sentence: a plain text.
- relation type list (rtl)* : ['relation type 1', 'relation type 2', ...]
- subject type list (stl)* : ['subject type 1', 'subject type 2', ...]
- object type list (otl)* : ['object type 1', 'object type 2', ...]
PS: * denote optional, we set default value for them. But for better extraction, you should specify the three list according to application scenarios.
sentence: Bob worked for Google in Beijing, the capital of China.
rtl: ['location-located_in', 'administrative_division-country', 'person-place_lived', 'person-company', 'person-nationality', 'company-founders', 'country-administrative_divisions', 'person-children', 'country-capital', 'deceased_person-place_of_death', 'neighborhood-neighborhood_of', 'person-place_of_birth']
stl: ['organization', 'person', 'location', 'country']
otl: ['person', 'location', 'country', 'organization', 'city']
ouptut:
sentence: 第五部：《如懿传》《如懿传》是一部古装宫廷情感电视剧，由汪俊执导，周迅、霍建华、张钧甯、董洁、辛芷蕾、童瑶、李纯、邬君梅等主演。
rtl: ['所属专辑', '成立日期', '海拔', '官方语言', '占地面积', '父亲', '歌手', '制片人', '导演', '首都', '主演', '董事长', '祖籍', '妻子', '母亲', '气候', '面积', '主角', '邮政编码', '简称', '出品公司', '注册资本', '编剧', '创始人', '毕业院校', '国籍', '专业代码', '朝代', '作者', '作词', '所在城市', '嘉宾', '总部地点', '人口数量', '代言人', '改编自', '校长', '丈夫', '主持人', '主题曲', '修业年限', '作曲', '号', '上映时间', '票房', '饰演', '配音', '获奖']
stl: ['国家', '行政区', '文学作品', '人物', '影视作品', '学校', '图书作品', '地点', '历史人物', '景点', '歌曲', '学科专业', '企业', '电视综艺', '机构', '企业/品牌', '娱乐人物']
otl: ['国家', '人物', 'Text', 'Date', '地点', '气候', '城市', '歌曲', '企业', 'Number', '音乐专辑', '学校', '作品', '语言']
ouptut:
This task aims to extract entities from plain texts, such as (LOC, Beijing) , (人物, 周恩来).
- sentence: a plain text.
- entity type list (etl)* : ['entity type 1', 'entity type 2', ...]
PS: * denote optional, we set default value for it. But for better extraction, you should specify the list according to application scenarios.
sentence: Bob worked for Google in Beijing, the capital of China.
etl: ['LOC', 'MISC', 'ORG', 'PER']
ouptut:
sentence: 在过去的五年中，致公党在邓小平理论指引下，遵循社会主义初级阶段的基本路线，努力实践致公党十大提出的发挥参政党职能、加强自身建设的基本任务。
etl: ['组织机构', '地点', '人物']
ouptut:
This task aims to extract event from plain texts, such as {Life-Divorce: {Person: Bob, Time: today, Place: America}} , {竞赛行为-晋级: {时间: 无, 晋级方: 西北狼, 晋级赛事: 中甲榜首之争}}.
- sentence: a plain text.
- event type list (etl)* : {'event type 1': ['argument role 1', 'argument role 2', ...], ...}
PS: * denote optional, we set default value for it. But for better extraction, you should specify the list according to application scenarios.
sentence: Yesterday Bob and his wife got divorced in Guangzhou.
etl: {'Personnel:Elect': ['Person', 'Entity', 'Position', 'Time', 'Place'], 'Business:Declare-Bankruptcy': ['Org', 'Time', 'Place'], 'Justice:Arrest-Jail': ['Person', 'Agent', 'Crime', 'Time', 'Place'], 'Life:Divorce': ['Person', 'Time', 'Place'], 'Life:Injure': ['Agent', 'Victim', 'Instrument', 'Time', 'Place']}
ouptut:
sentence: 在2022年卡塔尔世界杯决赛中，阿根廷以点球大战险胜法国。
etl: {'组织行为-罢工': ['时间', '所属组织', '罢工人数', '罢工人员'], '竞赛行为-晋级': ['时间', '晋级方', '晋级赛事'], '财经/交易-涨停':['时间', '涨停股票'] , '组织关系-解雇': ['时间', '解雇方', '被解雇人员']}
ouptut:
- Run
npm installto download required dependencies. - Run
npm run start. GPT4IE should open up in a new browser tab. - note: node-version v14.17.4 npm-version 9.6.0
- you need have an Open-AI key.