{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T09:15:25Z","timestamp":1717838125487},"reference-count":19,"publisher":"MIT Press - Journals","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TACL"],"published-print":{"date-parts":[[2014,12]]},"abstract":" We present a simple, easy-to-replicate monolingual aligner that demonstrates state-of-the-art performance while relying on almost no supervision and a very small number of external resources. Based on the hypothesis that words with similar meanings represent potential pairs for alignment if located in similar contexts, we propose a system that operates by finding such pairs. In two intrinsic evaluations on alignment test data, our system achieves F1<\/jats:sub> scores of 88\u201392%, demonstrating 1\u20133% absolute improvement over the previous best system. Moreover, in two extrinsic evaluations our aligner outperforms existing aligners, and even a naive application of the aligner approaches state-of-the-art performance in each extrinsic task. <\/jats:p>","DOI":"10.1162\/tacl_a_00178","type":"journal-article","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T15:43:26Z","timestamp":1546011806000},"page":"219-230","source":"Crossref","is-referenced-by-count":34,"title":["Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence"],"prefix":"10.1162","volume":"2","author":[{"given":"Md Arafat","family":"Sultan","sequence":"first","affiliation":[{"name":"Institute of Cognitive Science and Department of Computer Science, University of Colorado Boulder,"}]},{"given":"Steven","family":"Bethard","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Sciences, University of Alabama at Birmingham,"}]},{"given":"Tamara","family":"Sumner","sequence":"additional","affiliation":[{"name":"Institute of Cognitive Science and Department of Computer Science, University of Colorado Boulder,"}]}],"member":"281","reference":[{"key":"p_1","first-page":"32","author":"Agirre Eneko","year":"2013","journal-title":"Proceedings of the Second Joint Conference on Lexical and Computational Semantics. 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