Computer Science and Engineering

Conversation Entailment

Textual entailment has mainly focused on infer- ence from written text in monologue. Recent years also observed an increasing amount of conversa- tional data such as conversation scripts of meetings, call center records, court proceedings, as well as on- line chatting. Although conversation is a form of language, it is different from monologue text with several unique characteristics. The key distinctive features include turn-taking between participants, grounding between participants, different linguistic phenomena of utterances, and conversation impli- catures. Traditional approaches dealing with tex- tual entailment were not designed to handle these unique conversation behaviors and thus to support automated entailment from conversation scripts. This projects intends to address this limitation.

Related Papers:

The data used in EMNLP 2010 paper can be downloaded here.