Aaditya-Singh/E2E-ECPE
Code for the WASSA 2021 paper (oral) "An End-to-End Network for Emotion-Cause Pair Extraction"
This helps researchers in natural language processing (NLP) who are analyzing text to understand the relationship between emotions and their causes. You provide raw text documents, and it identifies specific clauses that express an emotion and links them to the clauses that describe the reason for that emotion. This is for computational linguists and AI researchers studying emotion recognition and causal inference in text.
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Use this if you need to automatically extract and pair emotional expressions with their underlying causes from textual data.
Not ideal if you're looking for a simple, out-of-the-box application for general text analysis or sentiment classification without specific emotion-cause pairing.
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Language
Python
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Last pushed
Feb 27, 2021
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