Recovering implicit thread structure in chat conversations
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2016, Vol 9, Issue 3
Abstract
The analysis of chat conversations is a cumbersome task because of the number of different discussion threads that may occur at a certain moment. While most participants in a chat session tend to discuss one topic at a time, interferences appear due to environment asynchrony. This paper presents an approach for recovering implicit thread structure of a chat conversation by using a pipeline centered on semantic similarity between short phrases. Temporal, social and lexical aspects of the conversation are blended in a single model which predicts for each utterance not only the thread it belongs to, but also the utterance most related to in its thread.
Authors and Affiliations
Andrei Dulceanu
Keywords
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