{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T02:36:41Z","timestamp":1781750201070,"version":"3.54.5"},"reference-count":5,"publisher":"MIT Press - Journals","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TACL"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:p> We present a novel hierarchical distance-dependent Bayesian model for event coreference resolution. While existing generative models for event coreference resolution are completely unsupervised, our model allows for the incorporation of pairwise distances between event mentions \u2014 information that is widely used in supervised coreference models to guide the generative clustering processing for better event clustering both within and across documents. We model the distances between event mentions using a feature-rich learnable distance function and encode them as Bayesian priors for nonparametric clustering. Experiments on the ECB+ corpus show that our model outperforms state-of-the-art methods for both within- and cross-document event coreference resolution. <\/jats:p>","DOI":"10.1162\/tacl_a_00155","type":"journal-article","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T15:44:35Z","timestamp":1546011875000},"page":"517-528","source":"Crossref","is-referenced-by-count":13,"title":["A Hierarchical Distance-dependent Bayesian Model for Event                     Coreference Resolution"],"prefix":"10.1162","volume":"3","author":[{"given":"Bishan","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Computer Science, Cornell University,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claire","family":"Cardie","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Cornell University,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Frazier","sequence":"additional","affiliation":[{"name":"School of Operations Research and Information Engineering, Cornell                         University,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","reference":[{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00174"},{"key":"p_6","first-page":"2461","volume":"12","author":"Blei David M.","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"p_34","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1613\/jair.2088","author":"Surdeanu Mihai","year":"2007","journal-title":"Journal of Artificial Intelligence Research, pages"},{"key":"p_35","author":"Teh Yee Whye","year":"2006","journal-title":"Journal of the American Statistical Association, 101(476)."},{"key":"p_39","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00199"}],"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_00155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:38:47Z","timestamp":1615585127000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/tacl\/article\/43289"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12]]},"references-count":5,"alternative-id":["10.1162\/tacl_a_00155"],"URL":"https:\/\/doi.org\/10.1162\/tacl_a_00155","relation":{},"ISSN":["2307-387X"],"issn-type":[{"value":"2307-387X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12]]}}}