Trema-Unh at Trec 2018: Complex Answer Retrieval and News Track
Abstract
This notebook describes the submission of team TREMA-UNH to the TREC Complex Answer Retrieval track and the TREC News track in 2018. Our methods focus on passage retrieval, entity-aware passage retrieval, and entity retrieval.
Recommended Citation
S. Kashyapi et al., "Trema-Unh at Trec 2018: Complex Answer Retrieval and News Track," 27th Text REtrieval Conference, TREC 2018 - Proceedings, NIST Special Publication 500-331, Jan 2018.
Department(s)
Computer Science
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 NIST Special Publication 500-331, All rights reserved.
Publication Date
01 Jan 2018
