{"id":"https://openalex.org/W2178159428","doi":"https://doi.org/10.3115/v1/s14-2050","title":"HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts","display_name":"HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2178159428","doi":"https://doi.org/10.3115/v1/s14-2050","mag":"2178159428"},"language":"en","primary_location":{"id":"doi:10.3115/v1/s14-2050","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2050","pdf_url":"https://aclanthology.org/S14-2050.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/S14-2050.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027337246","display_name":"Jos\u00e9 G. Moreno","orcid":"https://orcid.org/0000-0002-8852-5797"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jose G. Moreno","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043728996","display_name":"Rumen Moraliyski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rumen Moraliyski","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090064576","display_name":"Asma Berrezoug","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asma Berrezoug","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043440123","display_name":"Ga\u00ebl Dias","orcid":"https://orcid.org/0000-0002-5840-1603"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ga\u00ebl Dias","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027337246"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12385521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9918000102043152,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9918000102043152,"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/T10028","display_name":"Topic Modeling","score":0.9872999787330627,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9785000085830688,"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":0.7777003049850464},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6658083200454712},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.638689398765564},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5656759738922119},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.45026591420173645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3731505572795868},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3626363277435303},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34415730834007263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777003049850464},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6658083200454712},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.638689398765564},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5656759738922119},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.45026591420173645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3731505572795868},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3626363277435303},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34415730834007263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/s14-2050","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2050","pdf_url":"https://aclanthology.org/S14-2050.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.3011","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.3011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://dias.users.greyc.fr/publications/semeval2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.8744","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.8744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval050.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01076770v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01076770","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th International Workshop on Semantic Evaluation (SemEval 2014), Aug 2014, dublin, Ireland. pp.PP305-308","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.3115/v1/s14-2050","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/s14-2050","pdf_url":"https://aclanthology.org/S14-2050.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 8th International Workshop on Semantic Evaluation (SemEval 2014)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2178159428.pdf","grobid_xml":"https://content.openalex.org/works/W2178159428.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W110771787","https://openalex.org/W1493726523","https://openalex.org/W1521626219","https://openalex.org/W1530622307","https://openalex.org/W1567365482","https://openalex.org/W2036887984","https://openalex.org/W2129736920","https://openalex.org/W2251797829","https://openalex.org/W2325343629","https://openalex.org/W2498684880"],"related_works":["https://openalex.org/W2226024386","https://openalex.org/W4376653378","https://openalex.org/W2380654781","https://openalex.org/W2114797768","https://openalex.org/W2181757899","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W2898077673","https://openalex.org/W4385239468","https://openalex.org/W1990601549"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,18,25,75],"HULTECH":[4],"team":[5],"par-ticipation":[6],"in":[7],"Task":[8],"3":[9],"of":[10,28],"SemEval-2014.":[11],"Four":[12],"different":[13],"subtasks":[14,51],"are":[15,21],"provided":[16],"to":[17,23,46,81,86],"partici-pants,":[19],"who":[20],"asked":[22],"determine":[24],"semantic":[26],"similarity":[27,48,66],"cross-level":[29,65],"test":[30],"pairs:":[31],"paragraph-to-sentence,":[32],"sentence-to-phrase,":[33],"phrase-to-word":[34],"and":[35,78],"word-to-sense.":[36],"Our":[37],"system":[38],"adopts":[39],"a":[40,64],"unified":[41],"strategy":[42,73],"(general":[43],"purpose":[44],"system)":[45],"calculate":[47],"across":[49],"all":[50],"based":[52],"on":[53],"word":[54],"Web":[55],"frequencies.":[56],"For":[57],"that":[58,71],"purpose,":[59],"we":[60],"define":[61],"ClueWeb":[62],"InfoSimba,":[63],"corpus-based":[67],"metric.":[68],"Results":[69],"show":[70],"our":[72],"overcomes":[74],"proposed":[76],"base-lines":[77],"achieves":[79],"adequate":[80],"moderate":[82],"re-sults":[83],"when":[84],"compared":[85],"other":[87],"systems.":[88],"1":[89]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}