Papers with domain-specific feature engineering

1 papers
Online Conversation Disentanglement with Pointer Networks (2020.emnlp-main)

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Challenge: Existing methods for disentangling textual conversations rely on dataset specific features that hinder generalization and adaptability.
Approach: They propose an end-to-end online framework for conversation disentanglement that embeds the whole utterance that comprises timestamp, speaker, and message text.
Outcome: The proposed method performs state-of-the-art on the Ubuntu IRC dataset and on other social and organizational platforms.

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