CL-ECPE: contrastive learning with adversarial samples for emotion-cause pair extraction
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2082383
Abstract: The existing Emotion-Cause Pair Extraction (ECPE) has made some achievements, and it is applied in many tasks, such as criminal investigations. Previous approaches realised extraction by constructing different networks, but they did not fully exploit… read more here.
Keywords: emotion cause; extraction; adversarial samples; cause pair ... See more keywords
Multiple Level Hierarchical Network-Based Clause Selection for Emotion Cause Extraction
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DOI: 10.1109/access.2018.2890390
Abstract: Emotion cause extraction is one of the most important applications in natural language processing tasks. It is a difficult challenge due to the complex semantic information between emotion description and the whole document. Previous approaches… read more here.
Keywords: emotion cause; clause; emotion; cause extraction ... See more keywords
A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3057880
Abstract: Emotion-cause pair extraction (ECPE), which aims to extract emotions and the corresponding causes in documents, has a wide range of applications in network public opinion analysis. Current two-stage methods first extract emotion and cause clauses,… read more here.
Keywords: emotion cause; model; emotion; extraction ... See more keywords
A Benchmark for Hierarchical Emotion Cause Extraction in Spoken Dialogues
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DOI: 10.1109/lsp.2023.3274041
Abstract: Emotion cause extraction (ECE) seeks to find out what causes a given emotion, which has drawn much attention in natural language and signal processing. Conventional ECE normally focuses on single level (i.e., either word-level or… read more here.
Keywords: emotion cause; cause extraction; cause; level ... See more keywords