Semantic Role Labeling
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Semantic role labeling aims to model the predicate-argument structure of a sentence and is often described as answering "Who did what to whom". BIO notation is typically used for semantic role labeling.
Example:
| Housing | starts | are | expected | to | quicken | a | bit | from | August’s | pace |
|---|---|---|---|---|---|---|---|---|---|---|
| B-ARG1 | I-ARG1 | O | O | O | V | B-ARG2 | I-ARG2 | B-ARG3 | I-ARG3 | I-ARG3 |
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IMPLabUniPr/UniParma-at-semeval-2021-task-5
https://github.com/JHart96/keras_elmo_embedding_layer
https://github.com/LamLauChiu/Tensorflow_Learning
https://github.com/Mind23-2/MindCode-135
https://github.com/Mind23-2/MindCode-98
https://github.com/PrashantRanjan09/Elmo-Tutorial
https://github.com/PrashantRanjan09/WordEmbeddings-Elmo-Fasttext-Word2Vec
https://github.com/RundongChou/elmo-chinese-oversimplified
https://github.com/System-T/UniversalPropositions
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation
https://github.com/TEAMLAB-Lecture/deep_nlp_101
https://github.com/UKPLab/elmo-bilstm-cnn-crf
https://github.com/UKPLab/linspector-web
LINSPECTOR: Multilingual Probing Tasks for Word Representations
https://github.com/YC-wind/embedding_study
https://github.com/allenai/bilm-tf
https://github.com/amazon-science/tanl
Structured Prediction as Translation between Augmented Natural Languages
https://github.com/ankurbanga/Language-Models
https://github.com/asadovsky/nn
https://github.com/bcmi220/unisrl
Dependency or Span, End-to-End Uniform Semantic Role Labeling
https://github.com/bestend/tf2-bi-lstm-crf-nni
https://github.com/bplank/teaching-dl4nlp
https://github.com/cheng-Ye/daguan-competition-master
The Natural Language Decathlon: Multitask Learning as Question Answering
https://github.com/cheng18/bilm-tf
https://github.com/cogcomp/srl-english
Simple BERT Models for Relation Extraction and Semantic Role Labeling
https://github.com/dmlc/gluon-nlp
https://github.com/eranhirs/qasrl_state_machine_example
https://github.com/eric-erki/decaNLP
The Natural Language Decathlon: Multitask Learning as Question Answering
https://github.com/faramarzmunshi/d2l-nlp
https://github.com/flairNLP/flair
https://github.com/floleuerer/fastai_ulmfit
https://github.com/griff4692/LMC
https://github.com/helboukkouri/character-bert
https://github.com/horizonheart/ELMO
https://github.com/iliaschalkidis/ELMo-keras
https://github.com/jiachengli1995/jointie
Generalizing Natural Language Analysis through Span-relation Representations
https://github.com/kafura-kafiri/tf2-elmo
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.