├── README.md ├── data ├── ACE2005 ├── KBP ├── TAC KBP └── example ├── figures ├── 0.png ├── 1.png ├── 10-1.png ├── 10.png ├── 11.png ├── 12.png ├── 13.png ├── 14.png ├── 15-1.png ├── 15.png ├── 16-1.png ├── 16.png ├── 17-1.png ├── 17.png ├── 19-1.png ├── 19.png ├── 2-1.png ├── 2-2.png ├── 20-1.png ├── 20.png ├── 21-1.png ├── 21-2.png ├── 21-3.png ├── 22.png ├── 23-1.png ├── 23.png ├── 25.png ├── 26.png ├── 27.png ├── 29-1.png ├── 29-2.png ├── 3.png ├── 30-1.png ├── 30.png ├── 31.png ├── 32.png ├── 33-1.png ├── 33.png ├── 34.png ├── 4-1.png ├── 4.png ├── 5-1.png ├── 5.png ├── 6.png ├── 7.png ├── 8.png ├── 9-2.png ├── 9.png ├── AEE.png └── Framework.png └── models ├── Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction ├── dee │ ├── __init__.py │ ├── base_task.py │ ├── dee_helper.py │ ├── dee_metric.py │ ├── dee_model.py │ ├── dee_task.py │ ├── event_type.py │ ├── ner_model.py │ ├── ner_task.py │ ├── transformer.py │ └── utils.py ├── eval.sh ├── reprod_all_exps.sh ├── run_dee_task.py └── train_multi.sh ├── Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model ├── actions.py ├── data_config.yaml ├── data_files │ ├── argrole_dict.txt │ └── doc_split │ │ ├── dev_event.txt │ │ ├── test_event.txt │ │ └── train_event.txt ├── dy_utils.py ├── event_constraints.py ├── event_eval.py ├── gen_bert_emb.py ├── io_utils.py ├── joint_config.yaml ├── model.py ├── nn.py ├── ops.py ├── preprocess.py ├── samples │ ├── dev_nlp_ner.json │ ├── test_nlp_ner.json │ └── train_nlp_ner.json ├── shift_reduce.py ├── str_utils.py ├── train.py └── vocab.py ├── HMEAE: Hierarchical Modular Event Argument Extraction ├── constant.py ├── func.py ├── models.py ├── train.py └── utils.py ├── Joint Event Extraction via Recurrent Neural Networks ├── data │ └── fistDoc.nnData4.txt ├── evaluateJEE.py ├── jeeModels.py ├── jee_processData.py └── jointEE.py ├── Joint Learning Templates and Slots for Event Schema Induction ├── Main.py ├── NorCut.py └── spctest.py ├── Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes ├── Entity.py ├── Hi_Attn.py ├── MICNN.py ├── data │ ├── hate │ │ └── train_hate.csv │ ├── homicide │ │ └── train_homicide.csv │ └── kidnap │ │ └── train_kidnap.csv ├── params.json ├── preprocess.py ├── run_detect.py ├── run_extract.py └── utils.py └── Zero-Shot Transfer Learning for Event Extraction ├── data ├── amrPostProcessing.jar ├── amrTranslator.jar ├── assignSentId.jar ├── classification-ontology │ ├── aceArgs.normalize.txt │ ├── aceArgs.txt │ ├── aceTriggerArgMatrix.txt │ ├── allEreArgPaths.normalize.txt │ └── amrRelations.txt ├── prepareArgPrediction.jar ├── removeXmlTag.jar ├── rsd2ltf.py ├── sentenceExtractor.jar └── tokenizer.py ├── layers.py ├── requirements.txt ├── utils.py ├── zero_shot_arg_final.py ├── zero_shot_arg_final_test.py ├── zero_shot_final.py └── zero_shot_final_test.py /README.md: 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