{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T01:39:20Z","timestamp":1777426760661,"version":"3.51.4"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"<jats:p>\n      \n        Lexical Simplification is the task of replacing complex words with simpler alternatives. We propose a novel, unsupervised approach for the task. It relies on two resources: a corpus of subtitles and a new type of word embeddings model that accounts for the ambiguity of words. We compare the performance of our approach and many others over a new evaluation dataset, which accounts for the simplification needs of 400 non-native English speakers. The experiments show that our approach outperforms state-of-the-art work in Lexical Simplification.\n      \n    <\/jats:p>","DOI":"10.1609\/aaai.v30i1.9885","type":"journal-article","created":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T00:01:10Z","timestamp":1656028870000},"source":"Crossref","is-referenced-by-count":32,"title":["Unsupervised Lexical Simplification for Non-Native Speakers"],"prefix":"10.1609","volume":"30","author":[{"given":"Gustavo","family":"Paetzold","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucia","family":"Specia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"9382","published-online":{"date-parts":[[2016,3,5]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/9885\/9744","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/9885\/9744","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T00:01:10Z","timestamp":1656028870000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/9885"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,5]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,2,18]]}},"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1609\/aaai.v30i1.9885","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2016,3,5]]}}}