@inproceedings{143e2fde278f4243b982ce9b4ef29346,
title = "Integrating Query Performance Prediction in Term Scoring for Diachronic Thesaurus",
abstract = "A diachronic thesaurus is a lexical resource that aims to map between modern terms and their semantically related terms in earlier periods. In this paper, we investigate the task of collecting a list of relevant modern target terms for a domain-specific diachronic thesaurus. We propose a supervised learning scheme, which integrates features from two closely related fields: Terminology Extraction and Query Performance Prediction (QPP). Our method further expands modern candidate terms with ancient related terms, before assessing their corpus relevancy with QPP measures. We evaluate the empirical benefit of our method for a thesaurus for a diachronic Jewish corpus. c 2015 Association for Computational Linguistics and The Asian Federation of Natural Language Processing.",
author = "Chaya Liebeskind and Ido Dagan",
note = "Publisher Copyright: {\textcopyright} 2015 Proceedings of the Annual Meeting of the Association for Computational Linguistics.; 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, LaTeCH 2015 ; Conference date: 30-07-2015",
year = "2015",
month = jul,
day = "1",
doi = "10.18653/v1/w15-3714",
language = "American English",
series = "ACL Anthology",
publisher = "Association for Computational Linguistics (ACL)",
pages = "89--94",
editor = "Zervanou, {Kalliopi A.} and {van Erp}, Marieke and Beatrice Alex",
booktitle = "LaTeCH 2015",
address = "United States",
}