{"id":"https://openalex.org/W2063871178","doi":"https://doi.org/10.1145/1277741.1277873","title":"Combining term-based and event-based matching for question answering","display_name":"Combining term-based and event-based matching for question answering","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2063871178","doi":"https://doi.org/10.1145/1277741.1277873","mag":"2063871178"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development 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/A5060170090","display_name":"Michael Wiegand","orcid":"https://orcid.org/0000-0002-5403-1078"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Wiegand","raw_affiliation_strings":["Saarland University, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078661113","display_name":"Jochen L. Leidner","orcid":"https://orcid.org/0000-0002-1219-4696"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jochen L. Leidner","raw_affiliation_strings":["University of Edinburgh, Edinburgh, Scotland, UK"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, Scotland, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008875255","display_name":"Dietrich Klakow","orcid":"https://orcid.org/0000-0002-4147-9690"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dietrich Klakow","raw_affiliation_strings":["Saarland University, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060170090"],"corresponding_institution_ids":["https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.4692,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74894085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"715","last_page":"716"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9919000267982483,"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/term","display_name":"Term (time)","score":0.7483377456665039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7434700131416321},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6936474442481995},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.6496992707252502},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6434688568115234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107344031333923},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6044032573699951},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6036363840103149},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5524173378944397},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5059356093406677},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47143831849098206},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4310459494590759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3566068410873413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14783993363380432},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14559826254844666},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13716599345207214},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06767705082893372}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7483377456665039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434700131416321},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6936474442481995},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.6496992707252502},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6434688568115234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107344031333923},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6044032573699951},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6036363840103149},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5524173378944397},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5059356093406677},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47143831849098206},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4310459494590759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3566068410873413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14783993363380432},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14559826254844666},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13716599345207214},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06767705082893372},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1720787546","https://openalex.org/W1980949147"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2358294942","https://openalex.org/W2948022516","https://openalex.org/W4367460280"],"abstract_inverted_index":{"In":[0],"question":[1,15],"answering,":[2],"two":[3],"main":[4],"kinds":[5],"of":[6,54,62],"matching":[7],"methods":[8],"for":[9,13,46],"finding":[10],"answer":[11],"sentences":[12],"a":[14,63,69],"are":[16,21],"term-based":[17,88],"approaches":[18,32,91],"--":[19,29],"which":[20],"simple,":[22],"efficient,":[23],"effective,":[24],"and":[25,30,36,79,84,89],"yield":[26],"high":[27],"recall":[28,45],"event-based":[31,90],"that":[33,73,86],"take":[34],"syntactic":[35],"semantic":[37],"information":[38],"into":[39],"account.":[40],"The":[41],"latter":[42],"often":[43],"sacrifice":[44],"increased":[47],"precision,":[48],"but":[49],"actually":[50],"capture":[51],"the":[52,55,59,75,94],"meaning":[53],"events":[56],"denoted":[57],"by":[58],"textual":[60],"units":[61],"passage":[64],"or":[65],"sentence.":[66],"We":[67],"propose":[68],"robust,":[70],"data-driven":[71],"method":[72],"learns":[74],"mapping":[76],"between":[77],"questions":[78],"answers":[80],"using":[81],"logistic":[82],"regression":[83],"show":[85],"combining":[87],"significantly":[92],"outperforms":[93],"individual":[95],"methods.":[96]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}