Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition
Code (0)
등록된 구현이 없습니다.
Tasks
Domain AdaptationMachine TranslationMulti-Task LearningQuestion AnsweringRelationSimilar Papers 제목 키워드 기반
Bilingually-constrained Phrase Embeddings for Machine Translation
2014-06-01 · ACL 2014 6
· Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou 외
Language ModellingMachine TranslationSemantic Textual SimilarityTranslation+2
Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition
2013-08-01 · ACL 2013 8
· Man Lan, Yu Xu, Zheng-Yu Niu
Auxiliary LearningMachine TranslationMulti-Task LearningQuestion Answering+1
Synthetic Data Augmentation for Cross-domain Implicit Discourse Relation Recognition
2025-03-26
· Frances Yung, Varsha Suresh, Zaynab Reza, Mansoor Ahmad 외
Implicit discourse relation recognition (IDRR) -- the task of identifying the implicit coherence relation between two text spans -- requires deep semantic understanding. Recent studies have shown that zero- or few-shot a…
Data AugmentationRelationConstrained Multi-Layer Contrastive Learning for Implicit Discourse Relationship Recognition
2024-09-07
· YiHeng Wu, Junhui Li, Muhua Zhu
Previous approaches to the task of implicit discourse relation recognition (IDRR) generally view it as a classification task. Even with pre-trained language models, like BERT and RoBERTa, IDRR still relies on complicated…
Binary ClassificationClassificationContrastive LearningMulti-class Classification+1Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
2023-11-01
· Chenxu Wang, Ping Jian, Mu Huang
Implicit Discourse Relation Recognition (IDRR), which infers discourse relations without the help of explicit connectives, is still a crucial and challenging task for discourse parsing. Recent works tend to exploit the h…
Discourse ParsingLanguage ModellingRelationSelf-Supervised Learning