{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T05:16:47Z","timestamp":1772860607574,"version":"3.50.1"},"reference-count":6,"publisher":"MIT Press - Journals","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TACL"],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:p> We describe a neural network model that jointly learns distributed representations of texts and knowledge base (KB) entities. Given a text in the KB, we train our proposed model to predict entities that are relevant to the text. Our model is designed to be generic with the ability to address various NLP tasks with ease. We train the model using a large corpus of texts and their entity annotations extracted from Wikipedia. We evaluated the model on three important NLP tasks (i.e., sentence textual similarity, entity linking, and factoid question answering) involving both unsupervised and supervised settings. As a result, we achieved state-of-the-art results on all three of these tasks. Our code and trained models are publicly available for further academic research. <\/jats:p>","DOI":"10.1162\/tacl_a_00069","type":"journal-article","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T15:42:50Z","timestamp":1546011770000},"page":"397-411","source":"Crossref","is-referenced-by-count":37,"title":["Learning Distributed Representations of Texts and Entities from                     Knowledge Base"],"prefix":"10.1162","volume":"5","author":[{"given":"Ikuya","family":"Yamada","sequence":"first","affiliation":[{"name":"Studio Ousia, Japan"},{"name":"Keio University, Japan,"}]},{"given":"Hiroyuki","family":"Shindo","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology, Japan,"}]},{"given":"Hideaki","family":"Takeda","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Japan,"}]},{"given":"Yoshiyasu","family":"Takefuji","sequence":"additional","affiliation":[{"name":"Keio University, Japan,"}]}],"member":"281","reference":[{"key":"p_11","first-page":"2787","author":"Bordes Antoine","year":"2013","journal-title":"Advances in Neural Information Processing Systems 26, pages"},{"key":"p_13","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00129"},{"key":"p_22","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00080"},{"key":"p_29","first-page":"3294","author":"Kiros Ryan","year":"2015","journal-title":"Advances in Neural Information Processing Systems 28, pages"},{"key":"p_35","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00141"},{"key":"p_41","first-page":"3111","author":"Mikolov Tomas","year":"2013","journal-title":"Advances in Neural Information Processing Systems 26, pages"}],"container-title":["Transactions of the Association for Computational Linguistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/tacl_a_00069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:38:14Z","timestamp":1615585094000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/tacl\/article\/43409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":6,"alternative-id":["10.1162\/tacl_a_00069"],"URL":"https:\/\/doi.org\/10.1162\/tacl_a_00069","relation":{},"ISSN":["2307-387X"],"issn-type":[{"value":"2307-387X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12]]}}}