https://github.com/FiscalNote/BillSum
공식 코드BillSum: A Corpus for Automatic Summarization of US Legislation
Papers with Code 아카이브
Sentence
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Francesco-Sovrano/Deep-Learning-Based-Multi-Label-Text-Classification-of-UNGA-Resolutions
공식 코드Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
https://github.com/FrancisGregoire/parSentExtract
공식 코드https://github.com/Franck-Dernoncourt/pubmed-rct
공식 코드PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
https://github.com/FranxYao/Gumbel-CRF
공식 코드https://github.com/FranxYao/pivot_analysis
공식 코드https://github.com/Frozenmad/AMN_SRL
공식 코드https://github.com/GIST-IRR/Parse-Focusing
공식 코드Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
https://github.com/GT-SALT/FormalityStyleTransfer
공식 코드https://github.com/GT-SALT/IDBR
공식 코드Continual Learning for Text Classification with Information Disentanglement Based Regularization
https://github.com/GT-SALT/LADA
공식 코드Local Additivity Based Data Augmentation for Semi-supervised NER
https://github.com/GT-SALT/Persuasion_Strategy_WVAE
공식 코드https://github.com/GanjinZero/BioBART
공식 코드BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
https://github.com/GeneZC/ASGCN
공식 코드Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
https://github.com/GentleZhu/ReMine
공식 코드Integrating Local Context and Global Cohesiveness for Open Information Extraction
https://github.com/GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data
공식 코드A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
https://github.com/GiBg1aN/TVVSD
공식 코드https://github.com/Glaceon31/Document-Transformer
공식 코드Improving the Transformer Translation Model with Document-Level Context
https://github.com/Gleghorn-Lab/mixture-of-experts-sentence-similarity
공식 코드Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings
https://github.com/GreenParachute/mqm-eng-cro
공식 코드https://github.com/Guaranteer/VidSTG-Dataset
공식 코드Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
https://github.com/Guzpenha/ConvRecProbingBERT
공식 코드What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
https://github.com/Guzpenha/transformer_rankers
공식 코드Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues
https://github.com/H-TayyarMadabushi/Cost-Sensitive_Bert_and_Transformers
공식 코드Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
https://github.com/HAWLYQ/ICECAP
공식 코드ICECAP: Information Concentrated Entity-aware Image Captioning
https://github.com/HCPLab-SYSU/Fine-Grained-Image-Captioning
공식 코드Fine-Grained Image Captioning with Global-Local Discriminative Objective
https://github.com/HIT-ICES/AL-NER
공식 코드LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
https://github.com/HITsz-TMG/ExplainableVisualEntailment
공식 코드https://github.com/HKUST-KnowComp/BMGF-RoBERTa
공식 코드https://github.com/HKUST-KnowComp/DisCOC
공식 코드Exploring Discourse Structures for Argument Impact Classification
https://github.com/HKUST-KnowComp/MLMET
공식 코드Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
https://github.com/HLR/SRLGRN
공식 코드https://github.com/HLTCHKUST/MulQG
공식 코드Multi-hop Question Generation with Graph Convolutional Network
https://github.com/HLTCHKUST/covid19-misinfo-data
공식 코드https://github.com/HMEIatJHU/NeuralWalker
공식 코드Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
https://github.com/HMUNACHI/pete
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.