Paper: What's The Problem: Automatically Identifying Problematic Dialogues In DARPA Communicator Dialogue Systems

ACL ID P02-1049
Title What's The Problem: Automatically Identifying Problematic Dialogues In DARPA Communicator Dialogue Systems
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2002
Authors

Spoken dialogue systems promise ef - cient and natural access to information services from any phone. Recently, spo- ken dialogue systems for widely used ap- plications such as email, travel informa- tion, and customer care have moved from research labs into commercial use. These applications can receive millions of calls a month. This huge amount of spoken dialogue data has led to a need for fully automatic methods for selecting a subset of caller dialogues that are most likely to be useful for further system improve- ment, to be stored, transcribed and further analyzed. This paper reports results on automatically training a Problematic Di- alogue Identi er to classify problematic human-computer dialogues using a corpus of 1242 DARPA Communicator dialogues in the travel planning domain. W...