{"id":"https://openalex.org/W2775089694","doi":"https://doi.org/10.26615/978-954-452-049-6_009","title":"Using English Dictionaries to generate Commonsense Knowledge in Natural Language","display_name":"Using English Dictionaries to generate Commonsense Knowledge in Natural Language","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2775089694","doi":"https://doi.org/10.26615/978-954-452-049-6_009","mag":"2775089694"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_009","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_009","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_009","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015059645","display_name":"Ali Almiman","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ali Almiman","raw_affiliation_strings":["University of Manchester UK, Manchester M13 9PL"],"affiliations":[{"raw_affiliation_string":"University of Manchester UK, Manchester M13 9PL","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035477242","display_name":"Allan Ramsay","orcid":"https://orcid.org/0000-0002-9903-0722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Allan Ramsay","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015059645"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17689313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12353","display_name":"Lexicography and Language Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9887999892234802,"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/wordnet","display_name":"WordNet","score":0.856787919998169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7743942737579346},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7351929545402527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894150972366333},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6241973042488098},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.5359460115432739},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.5104552507400513},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4813864529132843},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4687751829624176},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4663509428501129},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44705620408058167},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.4219841957092285},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.28476303815841675},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2750268578529358},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08376213908195496}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.856787919998169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7743942737579346},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7351929545402527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894150972366333},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6241973042488098},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.5359460115432739},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.5104552507400513},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4813864529132843},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4687751829624176},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4663509428501129},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44705620408058167},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.4219841957092285},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.28476303815841675},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2750268578529358},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08376213908195496},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26615/978-954-452-049-6_009","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_009","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/a663ff29-d2da-4f73-ad76-e5abd5b8686e","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/a663ff29-d2da-4f73-ad76-e5abd5b8686e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Almiman, A & Ramsay, A M 2017, Using English Dictionaries to generate Commonsense Knowledge in Natural Language. in R M & G A (eds), Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, September 2 - 8, 2017. pp. 58-63. https://doi.org/10.26615/978-954-452-049-6009","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_009","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_009","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_009","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775089694.pdf","grobid_xml":"https://content.openalex.org/works/W2775089694.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1663435917","https://openalex.org/W1965605789","https://openalex.org/W1979680046","https://openalex.org/W2068737686","https://openalex.org/W2070412788","https://openalex.org/W2107901333","https://openalex.org/W2114544510"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W189413142","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W2480501668","https://openalex.org/W103065337","https://openalex.org/W2196562041","https://openalex.org/W2772864957","https://openalex.org/W3091195047","https://openalex.org/W2943368643"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,67],"approach":[4],"to":[5,20,27,47,58,114],"generating":[6],"common":[7],"sense":[8],"knowledge":[9],"written":[10],"in":[11,41,64,70,138],"raw":[12],"English":[13,36,42],"sentences.":[14],"Instead":[15],"of":[16,62,96],"using":[17,33,84],"public":[18],"contributors":[19],"feed":[21],"this":[22,24,78,82],"source,":[23],"system":[25],"chose":[26],"employ":[28],"expert":[29],"linguistics":[30],"decisions":[31],"by":[32],"definitions":[34,40,136],"from":[35,103],"dictionaries.":[37],"Because":[38],"the":[39,71,104,123,126,134],"dictionaries":[43,65],"are":[44,118],"not":[45],"prepared":[46],"be":[48],"transformed":[49],"into":[50,66],"inference":[51,68,98],"rules,":[52],"some":[53],"preprocessing":[54],"steps":[55],"were":[56,100],"taken":[57],"turn":[59],"each":[60],"relation":[61],"word:definition":[63],"rule":[69],"form":[72],"left-hand":[73],"side":[74],"right-hand":[75],"side.":[76],"In":[77],"paper,":[79],"we":[80,109],"applied":[81],"mechanism":[83],"two":[85,105],"dictionaries:":[86],"The":[87],"MacMillan":[88,124],"Dictionary":[89,125],"and":[90,107,133],"WordNet":[91,135],"definitions.":[92],"A":[93],"random":[94],"set":[95],"200":[97],"rules":[99,117],"extracted":[101],"equally":[102],"dictionaries,":[106],"then":[108],"used":[110],"human":[111],"judgment":[112],"as":[113],"whether":[115],"these":[116],"'True'":[119],"or":[120],"not.":[121],"For":[122],"precision":[127,140],"reaches":[128],"0.74":[129],"with":[130,141],"0.508":[131],"recall,":[132],"resulted":[137],"0.73":[139],"0.09":[142],"recall.":[143]},"counts_by_year":[],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2017-12-22T00:00:00"}
