6 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling
Linhan Zhang, Qian Chen, Wen Wang +4
Definition modeling is an important task in advanced natural language applications such as understanding and conversation. Since its introduction, it focus on generating one defini…
Weighted Sampling for Masked Language Modeling
Linhan Zhang, Qian Chen, Wen Wang +5
Masked Language Modeling (MLM) is widely used to pretrain language models. The standard random masking strategy in MLM causes the pre-trained language models (PLMs) to be biased to…
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition
Yuxin Jiang, Linhan Zhang, Wei Wang
Due to the absence of explicit connectives, implicit discourse relation recognition (IDRR) remains a challenging task in discourse analysis. The critical step for IDRR is to learn…
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
Yuxin Jiang, Linhan Zhang, Wei Wang
Contrastive learning has been demonstrated to be effective in enhancing pre-trained language models (PLMs) to derive superior universal sentence embeddings. However, existing contr…
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Linhan Zhang, Qian Chen, Wen Wang +5
Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a concise summary of the core content, which benefits downstream information retrieval and NLP…