{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:42:31Z","timestamp":1750308151968,"version":"3.41.0"},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2005,12,1]],"date-time":"2005-12-01T00:00:00Z","timestamp":1133395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Transactions on Asian Language Information Processing"],"published-print":{"date-parts":[[2005,12]]},"abstract":"<jats:p>\n            A selectional restriction specifies what combinations of words are semantically valid in a particular syntactic construction. This is one of the basic and important pieces of knowledge in natural language processing and has been used for syntactic and word sense disambiguation. In the case of acquiring the selectional restriction for many combinations of words from a corpus, it is necessary to estimate whether or not a word combination that is not observed in the corpus satisfies the selectional restriction. This paper proposes a new method for estimating the degree of satisfaction of the selectional restriction for a word combination from a tagged corpus, based on the multiple regression model. The independent variables of this model correspond to modifiers. Unlike a conventional multiple regression analysis, the independent variables are also parameters to be learned. We experiment on estimating the degree of satisfaction of the selectional restriction for Japanese word combinations \u2329\n            <jats:italic>noun, postpositional-particle, verb<\/jats:italic>\n            \u232a. The experimental results indicate that our method estimates the degree of satisfaction of a word combination not very well observed in the corpus, and that the accuracy of syntactic disambiguation using the co-occurrencies estimated by our method is higher than using co-occurrence probabilities smoothed by previous methods.\n          <\/jats:p>","DOI":"10.1145\/1113308.1113311","type":"journal-article","created":{"date-parts":[[2006,2,6]],"date-time":"2006-02-06T15:07:09Z","timestamp":1139238429000},"page":"400-416","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating satisfactoriness of selectional restriction from corpus without a thesaurus"],"prefix":"10.1145","volume":"4","author":[{"given":"Yoichi","family":"Tomiura","sequence":"first","affiliation":[{"name":"Kyushu University, Fukuoka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shosaku","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Ritsumeikan University, Kyoto, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toru","family":"Hitaka","sequence":"additional","affiliation":[{"name":"Kyushu University (retired March 2003)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2005,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007537716579"},{"volume-title":"Proceedings of COLING'94","author":"Grishman R.","key":"e_1_2_1_2_1"},{"volume-title":"Proceedings of the 28th Annual Meeting of ACL. 268--275","year":"1990","author":"Hindle D.","key":"e_1_2_1_3_1"},{"volume-title":"Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 50--57","year":"1999","author":"Hofmann T.","key":"e_1_2_1_4_1"},{"key":"e_1_2_1_5_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5715\/jnlp.9.3","article-title":"Case frame construction by coupling the predicate and its closest case component","volume":"9","author":"Kawahara D.","year":"2002","journal-title":"Journal of Natural Language Processing"},{"key":"e_1_2_1_6_1","unstructured":"Lee L. J. 1997. Similarity-based approaches to natural language processing. Ph.D. thesis Harvard University Cambridge Massachusetts.   Lee L. J. 1997. Similarity-based approaches to natural language processing. Ph.D. thesis Harvard University Cambridge Massachusetts."},{"key":"e_1_2_1_7_1","unstructured":"Nagamatsu K. and Tanaka H. 1996. Evaluation of a similarity measure based on co-occurrence and dependency between words. In IPSJ SIG Notes 96-NL-116. Information Processing Society of Japan 73--78 (in Japanese).  Nagamatsu K. and Tanaka H. 1996. Evaluation of a similarity measure based on co-occurrence and dependency between words. In IPSJ SIG Notes 96-NL-116. Information Processing Society of Japan 73--78 (in Japanese)."},{"volume-title":"Proceedings of the 31st Annual Meeting of ACL. 183--190","author":"Pereira F.","key":"e_1_2_1_8_1"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3115\/977035.977062"}],"container-title":["ACM Transactions on Asian Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1113308.1113311","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1113308.1113311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:18:47Z","timestamp":1750263527000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1113308.1113311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,12]]},"references-count":9,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2005,12]]}},"alternative-id":["10.1145\/1113308.1113311"],"URL":"https:\/\/doi.org\/10.1145\/1113308.1113311","relation":{},"ISSN":["1530-0226","1558-3430"],"issn-type":[{"type":"print","value":"1530-0226"},{"type":"electronic","value":"1558-3430"}],"subject":[],"published":{"date-parts":[[2005,12]]},"assertion":[{"value":"2005-12-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}