{"id":"https://openalex.org/W2963148156","doi":"https://doi.org/10.18653/v1/k15-1027","title":"Task-Oriented Learning of Word Embeddings for Semantic Relation Classification","display_name":"Task-Oriented Learning of Word Embeddings for Semantic Relation Classification","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2963148156","doi":"https://doi.org/10.18653/v1/k15-1027","mag":"2963148156"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k15-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1027","pdf_url":"https://www.aclweb.org/anthology/K15-1027.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K15-1027.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054582135","display_name":"Kazuma Hashimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["GB","JP"],"is_corresponding":true,"raw_author_name":"Kazuma Hashimoto","raw_affiliation_strings":["\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","\u2021University College London, London, United Kingdom","\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]},{"raw_affiliation_string":"\u2021University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049427071","display_name":"Pontus Stenetorp","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["GB","JP"],"is_corresponding":false,"raw_author_name":"Pontus Stenetorp","raw_affiliation_strings":["\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","\u2021University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]},{"raw_affiliation_string":"\u2021University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412540","display_name":"Makoto Miwa","orcid":"https://orcid.org/0000-0002-2330-6972"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","JP"],"is_corresponding":false,"raw_author_name":"Makoto Miwa","raw_affiliation_strings":["\u2021University College London, London, United Kingdom","\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"\u2021University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064113904","display_name":"Yoshimasa Tsuruoka","orcid":"https://orcid.org/0000-0002-0707-1077"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["GB","JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Tsuruoka","raw_affiliation_strings":["\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","\u2021University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"\u2020The University of Tokyo, 3-7-1 Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"\u00a7Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I4840577"]},{"raw_affiliation_string":"\u2021University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054582135"],"corresponding_institution_ids":["https://openalex.org/I45129253","https://openalex.org/I4840577","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":9.0602,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97858798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764875888824463},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.7637273669242859},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7606266736984253},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.75844806432724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411858439445496},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6516965627670288},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6384096145629883},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5077791810035706},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.49463412165641785},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4924260079860687},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44420263171195984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12622809410095215},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10573163628578186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0721641480922699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764875888824463},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.7637273669242859},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7606266736984253},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.75844806432724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411858439445496},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6516965627670288},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6384096145629883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5077791810035706},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.49463412165641785},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4924260079860687},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44420263171195984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12622809410095215},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10573163628578186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0721641480922699},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/k15-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1027","pdf_url":"https://www.aclweb.org/anthology/K15-1027.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/k15-1027","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k15-1027","pdf_url":"https://www.aclweb.org/anthology/K15-1027.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth Conference on Computational Natural Language Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963148156.pdf","grobid_xml":"https://content.openalex.org/works/W2963148156.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W16329575","https://openalex.org/W1484288670","https://openalex.org/W1608322251","https://openalex.org/W1614298861","https://openalex.org/W1887754209","https://openalex.org/W1889268436","https://openalex.org/W1904365287","https://openalex.org/W1965893653","https://openalex.org/W2051390224","https://openalex.org/W2053921957","https://openalex.org/W2067438047","https://openalex.org/W2097732278","https://openalex.org/W2099779943","https://openalex.org/W2112628236","https://openalex.org/W2125031621","https://openalex.org/W2131744502","https://openalex.org/W2136502946","https://openalex.org/W2138627627","https://openalex.org/W2146502635","https://openalex.org/W2147489358","https://openalex.org/W2152269015","https://openalex.org/W2152358231","https://openalex.org/W2153579005","https://openalex.org/W2154359981","https://openalex.org/W2155454737","https://openalex.org/W2157807817","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2160597896","https://openalex.org/W2165496929","https://openalex.org/W2181042685","https://openalex.org/W2250417532","https://openalex.org/W2250521169","https://openalex.org/W2250671371","https://openalex.org/W2250879510","https://openalex.org/W2251874715","https://openalex.org/W2296645902","https://openalex.org/W2952230511","https://openalex.org/W2989631226","https://openalex.org/W4230980737","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800","https://openalex.org/W4385432812"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,29,57,62,72,76],"novel":[3],"learning":[4],"method":[5,69],"for":[6,10,56],"word":[7,14,43,47,79],"embeddings":[8,15,48],"designed":[9],"relation":[11,58,65],"classification.":[12],"Our":[13],"are":[16,49],"trained":[17],"by":[18],"predicting":[19],"words":[20],"between":[21],"noun":[22],"pairs":[23],"using":[24],"lexical":[25],"relation-specific":[26],"features":[27],"on":[28,75],"large":[30],"unlabeled":[31],"corpus.":[32],"This":[33],"allows":[34],"us":[35],"to":[36,52,85],"explicitly":[37],"incorporate":[38],"relationspecific":[39],"information":[40,92],"into":[41],"the":[42],"embeddings.":[44],"The":[45],"learned":[46],"then":[50],"used":[51],"construct":[53],"feature":[54],"vectors":[55],"classification":[59,66],"model.":[60],"On":[61],"wellestablished":[63],"semantic":[64],"task,":[67],"our":[68],"significantly":[70],"outperforms":[71],"baseline":[73],"based":[74],"previously":[77],"introduced":[78],"embedding":[80],"method,":[81],"and":[82],"compares":[83],"favorably":[84],"previous":[86],"state-of-the-art":[87],"models":[88],"that":[89],"use":[90],"syntactic":[91],"or":[93],"manually":[94],"constructed":[95],"external":[96],"resources.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}