Paper: User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation

ACL ID P07-1127
Title User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We present a user requirements study for Question Answering on meeting records that assesses the difficulty of users ques- tions in terms of what type of knowledge is required in order to provide the correct an- swer. We grounded our work on the em- pirical analysis of elicited user queries. We found that the majority of elicited queries (around 60%) pertain to argumentative processes and outcomes. Our analysis also suggests that standard keyword-based In- formation Retrieval can only deal success- fully with less than 20% of the queries, and that it must be complemented with other types of metadata and inference.