{"id":"https://openalex.org/W1976575769","doi":"https://doi.org/10.1145/1667780.1667804","title":"Topic relatedness in evaluative information extraction","display_name":"Topic relatedness in evaluative information extraction","publication_year":2009,"publication_date":"2009-12-03","ids":{"openalex":"https://openalex.org/W1976575769","doi":"https://doi.org/10.1145/1667780.1667804","mag":"1976575769"},"language":"en","primary_location":{"id":"doi:10.1145/1667780.1667804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1667780.1667804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Universal Communication Symposium","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/A5066674566","display_name":"Takuya Kawada","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Takuya Kawada","raw_affiliation_strings":["NICT, Soraku-gun, Kyoto"],"affiliations":[{"raw_affiliation_string":"NICT, Soraku-gun, Kyoto","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109037387","display_name":"Tetsuji Nakagawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tetsuji Nakagawa","raw_affiliation_strings":["NICT, Soraku-gun, Kyoto"],"affiliations":[{"raw_affiliation_string":"NICT, Soraku-gun, Kyoto","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101815181","display_name":"Kentaro Inui","orcid":"https://orcid.org/0000-0001-6510-604X"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Inui","raw_affiliation_strings":["Nara Institute of Science and Technology, Takayama, Ikoma, Nara","Nara Institute of Science and Technology, Takayama, Ikoma, Nara#TAB#"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Takayama, Ikoma, Nara","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology, Takayama, Ikoma, Nara#TAB#","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028836340","display_name":"Sadao Kurohashi","orcid":"https://orcid.org/0000-0001-5398-8399"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadao Kurohashi","raw_affiliation_strings":["Kyoto University, Sakyo-ku, Kyoto"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Sakyo-ku, Kyoto","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066674566"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7084778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9977999925613403,"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":0.8194762468338013},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.7731202244758606},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6673583984375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.619281530380249},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5618436336517334},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.46499624848365784},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46095776557922363},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.433494508266449},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.43119773268699646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3986908197402954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194762468338013},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7731202244758606},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6673583984375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.619281530380249},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5618436336517334},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.46499624848365784},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46095776557922363},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.433494508266449},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43119773268699646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3986908197402954},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1667780.1667804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1667780.1667804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Universal Communication Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W72424516","https://openalex.org/W205145189","https://openalex.org/W1733625400","https://openalex.org/W2014902591","https://openalex.org/W2095713646","https://openalex.org/W2110991383","https://openalex.org/W2126854223","https://openalex.org/W2296006172","https://openalex.org/W2404602200","https://openalex.org/W2602331152"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,14,35,47,52,67,92,100],"extracting":[3],"opinions/evaluations":[4],"related":[5],"to":[6],"a":[7,11,32,53,72],"given":[8,73],"topic":[9,45,74,78,98],"from":[10],"large":[12],"number":[13],"documents":[15,19],"such":[16],"as":[17,37],"Web":[18],"is":[20],"crucial":[21],"for":[22,95],"developing":[23],"an":[24],"automatic":[25],"evaluation":[26,49,70],"finding":[27],"system,":[28],"which":[29],"can":[30],"handle":[31],"wide":[33],"variety":[34],"topics":[36],"input.":[38],"In":[39,80],"this":[40],"paper,":[41],"we":[42,55,82],"discuss":[43],"the":[44,61,65,90,97],"relatedness":[46,99],"extracted":[48,69],"through":[50],"analysis":[51,91],"corpus":[54],"developed.":[56],"We":[57],"suggest":[58],"here":[59],"that":[60,87],"semantic":[62],"relationship":[63],"between":[64],"target":[66],"each":[68],"and":[71],"helps":[75],"in":[76],"judging":[77,96],"relatedness.":[79],"addition,":[81],"point":[83],"out":[84],"other":[85],"factors":[86],"are":[88],"beyond":[89],"topic-target":[93],"relations":[94],"evaluation.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}