{"id":"https://openalex.org/W2091531100","doi":"https://doi.org/10.1145/2513204.2513222","title":"Annotation of clausal functional information for semantic retrieval","display_name":"Annotation of clausal functional information for semantic retrieval","publication_year":2013,"publication_date":"2013-10-28","ids":{"openalex":"https://openalex.org/W2091531100","doi":"https://doi.org/10.1145/2513204.2513222","mag":"2091531100"},"language":"en","primary_location":{"id":"doi:10.1145/2513204.2513222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2513204.2513222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101058077","display_name":"Hengbin Yan","orcid":"https://orcid.org/0000-0003-3327-1512"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Hengbin Yan","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101058077"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":1.4428,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8613786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T12031","display_name":"Speech and dialogue systems","score":0.9976999759674072,"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":0.8582149744033813},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.700290858745575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5764895677566528},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5230570435523987},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4787656366825104},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42579013109207153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8582149744033813},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.700290858745575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5764895677566528},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5230570435523987},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4787656366825104},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42579013109207153}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2513204.2513222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2513204.2513222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W60213469","https://openalex.org/W409936223","https://openalex.org/W1976091498","https://openalex.org/W2019413183","https://openalex.org/W2044599851","https://openalex.org/W2045738181","https://openalex.org/W2085582472","https://openalex.org/W2093647425","https://openalex.org/W2097606805","https://openalex.org/W2135336649","https://openalex.org/W2165887782","https://openalex.org/W2401199853","https://openalex.org/W2424644750","https://openalex.org/W4250641076","https://openalex.org/W4253555784"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W2009831055","https://openalex.org/W2393172683","https://openalex.org/W3211744874","https://openalex.org/W1994626569","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,68],"study":[1],"of":[2,14,26,61,100,111],"language":[3,62],"functions":[4,63],"is":[5,39,103],"closely":[6],"associated":[7],"with":[8,51],"the":[9,30,33,36,59,65,84,92,97],"semantic":[10],"and":[11,94],"pragmatic":[12],"aspects":[13],"language.":[15],"While":[16],"data":[17],"driven":[18],"approaches":[19],"have":[20],"been":[21],"successfully":[22],"applied":[23],"on":[24],"retrieval":[25],"functional-semantic":[27],"information":[28,102],"at":[29,35,64,83],"discourse":[31],"level,":[32],"work":[34],"clause":[37],"level":[38],"still":[40],"largely":[41],"absent.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"annotate":[47],"an":[48,88],"initial":[49,89],"corpus":[50,70],"Systemic":[52],"Functional":[53],"Linguistics,":[54],"a":[55,76,109],"prominent":[56],"framework":[57],"for":[58],"analysis":[60],"sentence/clause":[66],"level.":[67,86],"annotated":[69],"makes":[71],"it":[72],"possible":[73],"to":[74,78,108],"train":[75],"classifier":[77],"automatically":[79],"classify":[80],"functional":[81,101],"processes":[82],"clausal":[85],"With":[87],"computational":[90],"resource,":[91],"linking":[93],"interoperation":[95],"between":[96],"two":[98],"levels":[99],"now":[104],"possible,":[105],"giving":[106],"rise":[107],"range":[110],"potential":[112],"applications":[113],"in":[114],"functional/semantic":[115],"retrieval.":[116]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}