{"id":"https://openalex.org/W2913220844","doi":"https://doi.org/10.18653/v1/w18-5520","title":"Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification","display_name":"Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2913220844","doi":"https://doi.org/10.18653/v1/w18-5520","mag":"2913220844"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5520","pdf_url":"https://www.aclweb.org/anthology/W18-5520.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 First Workshop on Fact Extraction and VERification (FEVER)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-5520.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102324915","display_name":"Motoki Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoki Taniguchi","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109512832","display_name":"Tomoki Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Taniguchi","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044109708","display_name":"Takumi Takahashi","orcid":"https://orcid.org/0000-0003-0217-1324"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Takahashi","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084720611","display_name":"Yasuhide Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhide Miura","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037841139","display_name":"Tomoko Ohkuma","orcid":"https://orcid.org/0000-0002-5078-4814"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoko Ohkuma","raw_affiliation_strings":["Fuji Xerox Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuji Xerox Co., Ltd","institution_ids":["https://openalex.org/I15009632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78863793,"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":"124","last_page":"126"},"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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":0.8497264385223389},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7683405876159668},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7180932760238647},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7069445252418518},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6888546943664551},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.674088180065155},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6729074716567993},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.6553674936294556},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6405835747718811},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6368604898452759},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5915801525115967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5733877420425415},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4449639618396759},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.3012402057647705},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.100466787815094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8497264385223389},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7683405876159668},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7180932760238647},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7069445252418518},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6888546943664551},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.674088180065155},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6729074716567993},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.6553674936294556},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6405835747718811},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6368604898452759},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5915801525115967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733877420425415},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4449639618396759},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.3012402057647705},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.100466787815094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5520","pdf_url":"https://www.aclweb.org/anthology/W18-5520.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 First Workshop on Fact Extraction and VERification (FEVER)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-5520","pdf_url":"https://www.aclweb.org/anthology/W18-5520.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 First Workshop on Fact Extraction and VERification (FEVER)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913220844.pdf","grobid_xml":"https://content.openalex.org/works/W2913220844.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2962985038","https://openalex.org/W2963961878","https://openalex.org/W2964121744","https://openalex.org/W2964294651"],"related_works":["https://openalex.org/W2169644218","https://openalex.org/W12963412","https://openalex.org/W2250460949","https://openalex.org/W3158371345","https://openalex.org/W3141423438","https://openalex.org/W2071098659","https://openalex.org/W2627035043","https://openalex.org/W4385571113","https://openalex.org/W4200417912","https://openalex.org/W1893429831"],"abstract_inverted_index":{"We":[0,12],"describe":[1],"here":[2],"our":[3,100],"system":[4,16,101],"and":[5,26,90,108],"results":[6,97],"on":[7,77],"the":[8,44,74,80,88,92,103,110],"FEVER":[9,104],"shared":[10],"task.":[11],"prepared":[13],"a":[14,20,23,27,54],"pipeline":[15],"which":[17],"composes":[18],"of":[19,106],"document":[21,45],"selection,":[22],"sentence":[24,64],"retrieval,":[25],"recognizing":[28],"textual":[29],"entailment":[30],"(RTE)":[31],"components.":[32],"A":[33],"simple":[34],"entity":[35],"linking":[36],"approach":[37],"with":[38],"text":[39],"match":[40],"is":[41],"used":[42],"as":[43,61,70],"selection":[46],"component,":[47],"this":[48],"component":[49,66,82],"identifies":[50],"relevant":[51,68],"documents":[52,75],"for":[53],"given":[55],"claim":[56,93],"by":[57,86],"using":[58],"mentioned":[59],"entities":[60],"clues.":[62],"The":[63,95],"retrieval":[65],"selects":[67,83],"sentences":[69,85,89],"candidate":[71],"evidence":[72,84],"from":[73],"based":[76],"TF-IDF.":[78],"Finally,":[79],"RTE":[81],"ranking":[87],"classifies":[91],"simultaneously.":[94],"experimental":[96],"show":[98],"that":[99],"achieved":[102],"score":[105],"0.4016":[107],"outperformed":[109],"official":[111],"baseline":[112],"system.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
