{"id":"https://openalex.org/W2978957403","doi":"https://doi.org/10.5220/0008319301550162","title":"Vocab Learn: A Text Mining System to Assist Vocabulary Learning","display_name":"Vocab Learn: A Text Mining System to Assist Vocabulary Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978957403","doi":"https://doi.org/10.5220/0008319301550162","mag":"2978957403"},"language":"en","primary_location":{"id":"doi:10.5220/0008319301550162","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008319301550162","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0008319301550162","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100461874","display_name":"Jingwen Wang","orcid":"https://orcid.org/0000-0002-1405-4697"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingwen Wang","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109920381","display_name":"Chang\u2010Feng Yu","orcid":"https://orcid.org/0000-0003-3298-8941"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changfeng Yu","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101816535","display_name":"Wenjing Yang","orcid":"https://orcid.org/0000-0001-6248-1274"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjing Yang","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440047","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-1262-6719"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts, Lowell, MA and U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9932000041007996,"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":0.9907000064849854,"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":0.7765487432479858},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7595685124397278},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7073022723197937},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6544762253761292},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6218988299369812},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6130695939064026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6014655232429504},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5655487775802612},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5292189717292786},{"id":"https://openalex.org/keywords/word-lists-by-frequency","display_name":"Word lists by frequency","score":0.4573937654495239},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44722357392311096},{"id":"https://openalex.org/keywords/tf\u2013idf","display_name":"tf\u2013idf","score":0.42702311277389526},{"id":"https://openalex.org/keywords/levenshtein-distance","display_name":"Levenshtein distance","score":0.4265919625759125},{"id":"https://openalex.org/keywords/zipfs-law","display_name":"Zipf's law","score":0.41737401485443115},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.22289255261421204},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21270215511322021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11316734552383423},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.08720135688781738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765487432479858},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7595685124397278},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7073022723197937},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6544762253761292},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6218988299369812},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6130695939064026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014655232429504},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5655487775802612},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5292189717292786},{"id":"https://openalex.org/C175293574","wikidata":"https://www.wikidata.org/wiki/Q697133","display_name":"Word lists by frequency","level":3,"score":0.4573937654495239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44722357392311096},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.42702311277389526},{"id":"https://openalex.org/C2777515626","wikidata":"https://www.wikidata.org/wiki/Q496939","display_name":"Levenshtein distance","level":2,"score":0.4265919625759125},{"id":"https://openalex.org/C125932096","wikidata":"https://www.wikidata.org/wiki/Q205472","display_name":"Zipf's law","level":2,"score":0.41737401485443115},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.22289255261421204},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21270215511322021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11316734552383423},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.08720135688781738},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0008319301550162","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008319301550162","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0008319301550162","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008319301550162","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2075174955","https://openalex.org/W1928085876","https://openalex.org/W2048176942","https://openalex.org/W2170521549","https://openalex.org/W2964245942","https://openalex.org/W4386816323","https://openalex.org/W39918333","https://openalex.org/W1507719567","https://openalex.org/W1724948991","https://openalex.org/W2400139059"],"abstract_inverted_index":{"We":[0,137,184,199],"present":[1],"a":[2,19,23,27,40,48,63,74,88,112,176],"text":[3],"mining":[4],"system":[5],"called":[6],"Vocab":[7,32,67,115,203],"Learn":[8,33,68,116,204],"to":[9,12,18,47,51,106,110,120,141],"assist":[10],"users":[11],"learn":[13,108],"new":[14,45,113],"words":[15,46,79,91,195,207,212],"with":[16,92,96,175,208,213,217],"respect":[17],"knowledge":[20,24,41,131],"base,":[21],"where":[22],"base":[25,42,132],"is":[26,65],"collection":[28],"of":[29,76,90,145,165,178],"written":[30],"materials.":[31],"extracts":[34],"words,":[35,38],"excluding":[36],"stop":[37],"from":[39,129],"and":[43,54,59,87,124,148,153,156,171,211],"recommends":[44],"user":[49],"according":[50],"their":[52],"importance":[53],"frequency.":[55],"To":[56],"enforce":[57],"learning":[58],"assess":[60],"how":[61,109],"well":[62],"word":[64,72,81,119],"learned,":[66],"generates,":[69],"for":[70,193,196],"each":[71,118],"recommended,":[73],"number":[75,89],"semantically":[77],"close":[78],"using":[80,99],"embeddings":[82],"(Mikolov":[83],"et":[84,159],"al.,":[85,160],"2013a),":[86],"look-alike":[93],"spellings/strokes":[94],"but":[95,216],"different":[97,218],"meanings":[98,210],"Minimum":[100],"Edit":[101],"Distance":[102],"(Levenshtein,":[103],"1966).":[104],"Moreover,":[105],"help":[107],"use":[111],"word,":[114],"links":[117],"its":[121],"dictionary":[122],"definitions":[123],"provides":[125],"sample":[126],"sentences":[127],"extracted":[128],"the":[130,135,163,190],"that":[133,186,202],"includes":[134],"word.":[136],"carry":[138],"out":[139],"experiments":[140],"compare":[142],"word-ranking":[143],"algorithms":[144],"TFIDF":[146],"(Salton":[147],"McGill,":[149],"1986),":[150],"TextRank":[151,187],"(Mihalcea":[152],"Tarau,":[154],"2004),":[155],"RAKE":[157],"(Rose":[158],"2010)":[161],"over":[162],"dataset":[164],"Inspec":[166],"abstracts":[167],"in":[168],"Computer":[169],"Science":[170],"Information":[172],"Technology":[173],"Journals":[174],"set":[177],"keywords":[179],"labeled":[180],"by":[181],"human":[182],"editors.":[183],"show":[185,201],"would":[188],"be":[189],"best":[191],"choice":[192],"ranking":[194],"this":[197],"dataset.":[198],"also":[200],"generates":[205],"reasonable":[206],"similar":[209,214],"spellings":[215],"meanings.":[219]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}