{"id":"https://openalex.org/W2407428131","doi":null,"title":"Semantic Matching using Kernel Methods.","display_name":"Semantic Matching using Kernel Methods.","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2407428131","mag":"2407428131"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.7300","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.7300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1204/papers/invited_paper_3.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5056376686","display_name":"Alessandro Moschitti","orcid":"https://orcid.org/0000-0003-2216-8034","observed_orcids":["https://orcid.org/0000-0003-2216-8034"]},"institutions":[{"id":"https://openalex.org/I92528248","display_name":"Qatar Foundation","ror":"https://ror.org/01cawbq05","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I92528248"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Alessandro Moschitti","raw_affiliation_strings":["QATAR FOUNDATION"],"raw_orcid":"https://orcid.org/0000-0003-2216-8034","affiliations":[{"raw_affiliation_string":"QATAR FOUNDATION","institution_ids":["https://openalex.org/I92528248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056376686"],"corresponding_institution_ids":["https://openalex.org/I92528248"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.76419997215271,"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":0.76419997215271,"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/T11719","display_name":"Data Quality and Management","score":0.12880000472068787,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.05510000139474869,"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/semantic-matching","display_name":"semantic matching","score":0.984000027179718},{"id":"https://openalex.org/keywords/text-matching","display_name":"text matching","score":0.6990000009536743},{"id":"https://openalex.org/keywords/entity-disambiguation","display_name":"entity disambiguation","score":0.8840000033378601},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.8460000157356262},{"id":"https://openalex.org/keywords/entity-representation","display_name":"entity representation","score":0.4230000078678131},{"id":"https://openalex.org/keywords/bag-of-words-limitations","display_name":"bag-of-words limitations","score":0.7059999704360962},{"id":"https://openalex.org/keywords/information-retrieval-models","display_name":"information retrieval models","score":0.5759999752044678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763764500617981},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6308281421661377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5775202512741089},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5735645890235901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505084991455078},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.529167890548706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5204170346260071},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.49613890051841736},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43530669808387756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4290882349014282},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19402071833610535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17278927564620972},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.7300","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.7300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1204/papers/invited_paper_3.pdf","raw_type":"text"},{"id":"mag:2407428131","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1204/papers/invited_paper_3.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W151785663","https://openalex.org/W1510073064","https://openalex.org/W1549088681","https://openalex.org/W1587871245","https://openalex.org/W2008652694"],"related_works":["https://openalex.org/W1597371670","https://openalex.org/W7071192910","https://openalex.org/W2008037086","https://openalex.org/W3216821824","https://openalex.org/W1564406202","https://openalex.org/W7074579611","https://openalex.org/W2889030014","https://openalex.org/W2986774572","https://openalex.org/W4365396177","https://openalex.org/W7104179563"],"abstract_inverted_index":{"Semantic":[0],"matching":[1,17,44],"(SM)":[2],"for":[3],"textual":[4],"information":[5],"can":[6,53],"be":[7,107],"in-formally":[8],"defined":[9],"as":[10,39],"the":[11,50,61,87,100,112],"task":[12],"of":[13,30,33,60,104],"effectively":[14],"modeling":[15],"text":[16],"using":[18],"representations":[19,59],"more":[20,118],"complex":[21,119],"than":[22],"those":[23],"based":[24],"on":[25],"simple":[26],"and":[27,72,102],"independent":[28],"set":[29],"surface":[31],"forms":[32],"words":[34],"or":[35],"stems":[36],"(typically":[37],"indicated":[38],"bag-of-words).":[40],"In":[41],"this":[42],"perspective,":[43],"named":[45],"entities":[46],"(NEs)":[47],"implies":[48],"that":[49,98],"associated":[51],"model":[52],"both":[54,99],"overcomes":[55],"mismatch":[56],"between":[57,81],"different":[58,82],"same":[62],"entities,":[63,85],"e.g.,":[64,86],"George":[65,70,93],"H.":[66],"W.":[67,94],"Bush":[68],"vs.":[69],"Bush,":[71],"carry":[73],"out":[74],"entity":[75,88],"disam-biguation":[76],"to":[77,122],"avoid":[78],"incorrect":[79],"matches":[80],"but":[83],"similar":[84],"above":[89],"with":[90],"his":[91],"son":[92],"Bush.":[95],"This":[96],"means":[97],"context":[101],"structure":[103],"NEs":[105],"must":[106],"taken":[108],"into":[109],"account":[110],"in":[111],"IR":[113],"model.":[114],"SM":[115],"becomes":[116],"even":[117],"when":[120],"attempting":[121],"match":[123]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
