Papers with plural mentions

2 papers
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking (C18-1)

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Challenge: Unlike singular mentions each of which represents one entity, plural mentions stand for multiple entities.
Approach: They propose a novel coreference resolution algorithm that selectively creates clusters to handle both singular and plural mentions and a deep learning-based entity linking model that jointly handles both types of mentions through multi-task learning.
Outcome: The proposed model outperforms existing models designed for singular mentions and plural mentions.
A Unified Approach to Entity-Centric Context Tracking in Social Conversations (2022.lrec-1)

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Challenge: Context Tracking is a computational task for human-human conversations . it involves identifying important entities and keeping track of their properties and relationships .
Approach: They propose to use a human-human conversation corpus for context tracking with people and location annotations to model the conversation's context.
Outcome: The proposed model is based on a large human-human conversation corpus with people and location annotations.

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