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A Unified Approach to Entity-Centric Context Tracking in Social Conversations. (arXiv:2201.12409v2 [cs.CL] UPDATED)
April 27, 2022, 1:11 a.m. | Ulrich Rückert, Srinivas Sunkara, Abhinav Rastogi, Sushant Prakash, Pranav Khaitan
cs.CL updates on arXiv.org arxiv.org
In human-human conversations, Context Tracking deals with identifying
important entities and keeping track of their properties and relationships.
This is a challenging problem that encompasses several subtasks such as slot
tagging, coreference resolution, resolving plural mentions and entity linking.
We approach this problem as an end-to-end modeling task where the
conversational context is represented by an entity repository containing the
entity references mentioned so far, their properties and the relationships
between them. The repository is updated turn-by-turn, thus making training …
More from arxiv.org / cs.CL updates on arXiv.org
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