An Entity-Oriented Approach for Answering Topical Information Needs

Author

Shubham Chatterjee, Missouri University of Science and TechnologyFollow

Abstract

In this dissertation, we adopt an entity-oriented approach to identify relevant materials for answering a topical keyword query such as "Cholera". To this end, we study the interplay between text and entities by addressing three related prediction problems: (1) Identify knowledge base entities that are relevant for the query, (2) Understand an entity's meaning in the context of the query, and (3) Identify text passages that elaborate the connection between the query and an entity. Through this dissertation, we aim to study some overarching questions in entity-oriented research such as the importance of query-specific entity descriptions, and the importance of entity salience and context-dependent entity similarity for modeling the query-specific context of an entity.

Recommended Citation

S. Chatterjee, "An Entity-Oriented Approach for Answering Topical Information Needs," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13186 LNCS, pp. 463 - 472, Springer, Jan 2022.

The definitive version is available at https://doi.org/10.1007/978-3-030-99739-7_57

Department(s)

Computer Science

International Standard Book Number (ISBN)

978-303099738-0

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Jan 2022