{"id":"https://openalex.org/W2760187357","doi":"https://doi.org/10.18653/v1/w17-5014","title":"Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process","display_name":"Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2760187357","doi":"https://doi.org/10.18653/v1/w17-5014","mag":"2760187357"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5014","pdf_url":"https://www.aclweb.org/anthology/W17-5014.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 12th Workshop on Innovative Use of NLP for Building\n          Educational Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5014.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075775591","display_name":"Arseny Tolmachev","orcid":null},"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":true,"raw_author_name":"Arseny Tolmachev","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"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":["Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075775591"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":1.2472,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85469383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8360111117362976},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7368524074554443},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7318319082260132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6696867942810059},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6223154067993164},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5982851386070251},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.5577848553657532},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5551566481590271},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5547964572906494},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5480294227600098},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4149157404899597},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34529024362564087},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11364758014678955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09557580947875977},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0944889485836029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360111117362976},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7368524074554443},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7318319082260132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6696867942810059},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6223154067993164},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5982851386070251},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.5577848553657532},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5551566481590271},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5547964572906494},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5480294227600098},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4149157404899597},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34529024362564087},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11364758014678955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09557580947875977},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0944889485836029},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-5014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5014","pdf_url":"https://www.aclweb.org/anthology/W17-5014.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 12th Workshop on Innovative Use of NLP for Building\n          Educational Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5014","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5014","pdf_url":"https://www.aclweb.org/anthology/W17-5014.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 12th Workshop on Innovative Use of NLP for Building\n          Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2760187357.pdf","grobid_xml":"https://content.openalex.org/works/W2760187357.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W66124937","https://openalex.org/W202786699","https://openalex.org/W1586051859","https://openalex.org/W2026480899","https://openalex.org/W2049428464","https://openalex.org/W2141599568","https://openalex.org/W2159156271","https://openalex.org/W2248696035","https://openalex.org/W2251123913","https://openalex.org/W2575323059","https://openalex.org/W2754251479","https://openalex.org/W3103014337"],"related_works":["https://openalex.org/W2996195527","https://openalex.org/W2978375718","https://openalex.org/W2612358220","https://openalex.org/W2351132524","https://openalex.org/W2916738897","https://openalex.org/W2392934913","https://openalex.org/W2801329620","https://openalex.org/W2003474770","https://openalex.org/W2075768550","https://openalex.org/W4223990875"],"abstract_inverted_index":{"Flashcard":[0],"systems":[1],"are":[2],"effective":[3],"tools":[4],"for":[5],"learning":[6],"words":[7],"but":[8],"have":[9],"their":[10],"limitations":[11],"in":[12],"teaching":[13],"word":[14],"usage.":[15],"To":[16,47],"overcome":[17],"this":[18],"problem,":[19],"we":[20,50],"propose":[21],"a":[22,28,44,52],"novel":[23],"flashcard":[24],"system":[25],"that":[26,81],"shows":[27],"new":[29],"example":[30,39,88],"sentence":[31,67],"on":[32,77],"each":[33],"repetition.":[34],"This":[35],"extension":[36],"requires":[37],"high-quality":[38,87],"sentences,":[40],"automatically":[41],"extracted":[42,86],"from":[43],"huge":[45],"corpus.":[46],"do":[48],"this,":[49],"use":[51],"Determinantal":[53],"Point":[54],"Process":[55],"which":[56],"scales":[57],"well":[58],"to":[59,64],"large":[60],"data":[61],"and":[62,69],"allows":[63],"naturally":[65],"represent":[66],"similarity":[68],"quality":[70],"as":[71],"features.":[72],"Our":[73],"human":[74],"evaluation":[75],"experiment":[76],"Japanese":[78],"language":[79],"indicates":[80],"the":[82],"proposed":[83],"method":[84],"successfully":[85],"sentences.":[89]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}