Exploiting Wikipedia Inlinks for Linking Entities in Queries

Exploiting Wikipedia Inlinks for Linking Entities in Queries - scientific work related to Wikipedia quality published in 2014, written by Priya Radhakrishnan, Romil Bansal, Manish Gupta and Vasudeva Varma.

Overview

Given a knowledge base, annotating any text with entities in the knowledge base enhances automated understanding of the text. Entities provide extra contextual information for the automated system to understand and interpret the text better. In the special case when the text is in the form of short text queries, automated understanding can be critical in improving the quality of search results and recommendations. Annotation of queries helps semantic retrieval, ensuring diversity of search results including retrieval of relevant news stories. In this paper, authors present SIEL@ERD, a system for automated stamping of entity information in short query text. Authors system builds from the state-of-the-art TAGME system and is optimized for time and performance efficiency. Authors system achieved an F1 measure of 0.53 and the latency of 0.31 seconds on a dataset of 500 queries and a Freebase snapshot provided for the short track in the Entity Recognition and Disambiguation Challenge at SIGIR 2014.