https://github.com/LWL-cpu/SCPRG-master
공식 코드Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Lambda-3/DiscourseSimplification
공식 코드DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German
https://github.com/Lambda-3/Graphene
공식 코드Graphene: A Context-Preserving Open Information Extraction System
https://github.com/LanaChen0/Predict_News
공식 코드Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
https://github.com/LeePleased/NegSampling-NER
공식 코드Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
https://github.com/LeeSureman/Sequence-Labeling-Early-Exit
공식 코드Accelerating BERT Inference for Sequence Labeling via Early-Exit
https://github.com/Liang-Qiu/SVRNN-dialogues
공식 코드Structured Attention for Unsupervised Dialogue Structure Induction
https://github.com/LinearDesignSoftware/LinearDesign
공식 코드Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity
https://github.com/LiqunChen0606/Graph-Optimal-Transport
공식 코드https://github.com/LittleGuoKe/ConceptFERE
공식 코드https://github.com/Liu-Hy/nlp-contrib-graph
공식 코드https://github.com/LoreDema/GePpeTto
공식 코드https://github.com/Louis-udm/VGCN-BERT
공식 코드VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
https://github.com/LuisPB7/fnc-msc
공식 코드https://github.com/Lyun0912-wu/LongAttn
공식 코드LongAttn: Selecting Long-context Training Data via Token-level Attention
https://github.com/Maluuba/gensen
공식 코드Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
https://github.com/Maluuba/nlg-eval
공식 코드https://github.com/ManojPrabhakar/CHOLAN
공식 코드CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
https://github.com/Mao-KU/lightweight-crosslingual-sent2vec
공식 코드https://github.com/Markus-Zlabinger/pico-annotation
공식 코드DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts
https://github.com/MatanBN/XRTransfer
공식 코드Transfer Learning Between Related Tasks Using Expected Label Proportions
https://github.com/MatteoFasulo/clef2025-checkthat
공식 코드https://github.com/Maxwe11y/BiERU
공식 코드BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
https://github.com/MichealAbaho/Label-Context-Aware-Attention-Model
공식 코드Detect and Classify -- Joint Span Detection and Classification for Health Outcomes
https://github.com/MicrosoftTranslator/ToShipOrNotToShip
공식 코드To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
https://github.com/Milozms/TSMH
공식 코드https://github.com/MiriUll/negation_aware_evaluation
공식 코드This is not correct! Negation-aware Evaluation of Language Generation Systems
https://github.com/MirunaPislar/multi-head-attention-labeller
공식 코드https://github.com/MiuLab/DialSum
공식 코드Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts
https://github.com/MiuLab/HNLG
공식 코드Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
https://github.com/MiuLab/RCT-Gen
공식 코드Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
https://github.com/Mlair77/nmt_adequacy
공식 코드Prevent the Language Model from being Overconfident in Neural Machine Translation
https://github.com/Moradnejad/ColBERT-Using-BERT-Sentence-Embedding-for-Humor-Detection
공식 코드ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
https://github.com/MovingKyu/RACoLN
공식 코드https://github.com/Mr-Loevan/HSA-DPO
공식 코드Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
https://github.com/MurtyShikhar/ExpBERT
공식 코드ExpBERT: Representation Engineering with Natural Language Explanations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.