Paper: Fine-Grained Class Label Markup of Search Queries

ACL ID P11-1120
Title Fine-Grained Class Label Markup of Search Queries
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011

We develop a novel approach to the seman- tic analysis of short text segments and demon- strate its utility on a large corpus of Web search queries. Extracting meaning from short text segments is difficult as there is little semantic redundancy between terms; hence methods based on shallow semantic analy- sis may fail to accurately estimate meaning. Furthermore search queries lack explicit syn- tax often used to determine intent in ques- tion answering. In this paper we propose a hybrid model of semantic analysis combin- ing explicit class-label extraction with a la- tent class PCFG. This class-label correlation (CLC) model admits a robust parallel approxi- mation, allowing it to scale to large amounts of query data. We demonstrate its performance in terms of (1) its predicted label accura...