| Autor: |
Dulceanu, Andrei |
| Předmět: |
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| Zdroj: |
Romanian Journal of Human - Computer Interaction; 2016, Vol. 9 Issue 3, p217-232, 16p, 1 Diagram, 4 Charts, 2 Graphs |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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