Releases: bjascob/amrlib
Releases · bjascob/amrlib
amrlib 0.8.0
amrlib 0.7.1
- Fix missing resources directory for the parse_spring model in the pypi package
- No code changes except setup scripts.
amrlib 0.7.0
- Add parse_xfm model, configs and training scripts (this replaces parse_t5)
- Add WikiAdderBlink and update parse_xmf / parse_spring train code to use it.
- Added tensorboard smatch logging for parse_xfm training
- Added smatch log redirection to utils/logging.py
- Fix interrogative', 'imperative', 'expressive' as possible nodes
amrlib 0.6.0
- Added model_parse_spring
- Updated code for model_parse_t5 (faster training and inference)
- Fix dynamic load of model_stog when running amr_view (for transformers 4.4.2)
- Retest with torch 1.10.0 and transformers 4.12.3
- Add additional tests for parse models
amrlib 0.5.1
- Fix faa_aligner fail on empty strings
- Fix potential crash from line-feed in parse_gsii inference
- Fix potential crash from deserialization in parse_t5 inference
- Add isi aligner scripts and documentation
- Update faa_aligner no binaries error to be more explicit
- Retest with spaCy 3.x and torch 1.8
amrlib 0.5.0
- Added Fast Align Algorithm (FAA) Aligner
- Fix potential crash from None in penman triple in rbw_aligner
- Add alignment rule for "me" in rbw_aligner
- Added rule not to repeat ARGx for nodes in model_parse_gsii
- Changed test for rbw aligner to run against ISI hand alignments
amrlib 0.4.0
- Add model_generate_t5wtense
- Remove eos token from input in T5 modules, trainer/inference for parse_t5 and generate_t5
- Fix clip detection in generate_t5/parse_t5 inference.py
- Add remove_surface_alignments to RBWAligner
amrlib 0.3.0
- Added model_parse_t5 (stog) model based on the HuggingFace T5 transformer
- Added dynamic loading infrastructure
- Fix AMRPlot single attribute box for attribs of the same name
amrlib 0.2.2
Update for transformers 4.0.0 compatibility and torch 1.7
- Fix parse model for inference compatibility with transformers 4.0.0
- Filter warning message in generate model inference from transformers 4.0.0
- Fixed generate model training issue with transformers 4.0.0
- Fixed parse model training with torch 1.7
amrlib 0.2.1
Fix missing alignments directory from pypi distribution