{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T23:38:47Z","timestamp":1649115527592},"reference-count":5,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2009,3]]},"abstract":"<jats:p> Recently, Semantic Role Labeling (SRL) systems have been used to examine a semantic predicate-argument structure for natural occurring texts. Facing the challenge of extracting a universal set of semantic or thematic relations covering various types of semantic relationships between entities, based on the Concept Description Language for Natural Language (CDL.nl) which defines a set of semantic relations to describe the concept structure of text, we develop a shallow semantic parser to add a new layer of semantic annotation of natural language sentences as an extension of SRL. The parsing task is a relation extraction process with two steps: relation detection and relation classification. Firstly, based on dependency analysis, a rule-based algorithm is presented to detect all entity pairs between each pair for which there exists a relationship; secondly, we use a kernel-based method to assign CDL.nl relations to detected entity pairs by leveraging diverse features. Preliminary evaluation on a manual dataset shows that CDL.nl relations can be extracted with good performance. <\/jats:p>","DOI":"10.1142\/s1793351x09000690","type":"journal-article","created":{"date-parts":[[2009,7,13]],"date-time":"2009-07-13T21:49:05Z","timestamp":1247521745000},"page":"131-149","source":"Crossref","is-referenced-by-count":0,"title":["A NEW SHALLOW SEMANTIC PARSER FOR DESCRIBING THE CONCEPT STRUCTURE OF TEXT"],"prefix":"10.1142","volume":"03","author":[{"given":"YULAN","family":"YAN","sequence":"first","affiliation":[{"name":"Graduate School of Information Science and Technology, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan"}]},{"given":"YUTAKA","family":"MATSUO","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan"}]},{"given":"MITSURU","family":"ISHIZUKA","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Technology, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7287.001.0001"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1162\/089120102760275983"},{"key":"rf9","volume-title":"English Verb Classes and Alternation: A Preliminary Investigation","author":"Levin B.","year":"1993"},{"key":"rf13","volume-title":"Semantic Information Processing","author":"Minsky M.","year":"1969"},{"key":"rf17","volume":"31","author":"Palmer M.","journal-title":"Computational Linguistics"}],"container-title":["International Journal of Semantic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793351X09000690","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:39:52Z","timestamp":1565127592000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1793351X09000690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,3]]},"references-count":5,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2009,3]]}},"alternative-id":["10.1142\/S1793351X09000690"],"URL":"https:\/\/doi.org\/10.1142\/s1793351x09000690","relation":{},"ISSN":["1793-351X","1793-7108"],"issn-type":[{"value":"1793-351X","type":"print"},{"value":"1793-7108","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,3]]}}}