{"id":"https://openalex.org/W2251149612","doi":"https://doi.org/10.3115/v1/n15-3024","title":"Using Word Semantics To Assist English as a Second Language Learners","display_name":"Using Word Semantics To Assist English as a Second Language Learners","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251149612","doi":"https://doi.org/10.3115/v1/n15-3024","mag":"2251149612"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-3024","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3024","pdf_url":"https://www.aclweb.org/anthology/N15-3024.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N15-3024.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110646972","display_name":"Mahmoud Azab","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Azab","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023447446","display_name":"Chris Hokamp","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Chris Hokamp","raw_affiliation_strings":["Dublin City University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dublin City University","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082450455","display_name":"Rada Mihalcea","orcid":"https://orcid.org/0000-0002-0767-6703"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rada Mihalcea","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2259,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9079328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","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/T13629","display_name":"Text Readability and Simplification","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/T11587","display_name":"Second Language Acquisition and Learning","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8737416863441467},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6599534749984741},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6380995512008667},{"id":"https://openalex.org/keywords/substitution","display_name":"Substitution (logic)","score":0.6301578879356384},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5941364765167236},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5736450552940369},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5658057928085327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048931241035461},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4963744282722473},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.43412625789642334},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23281875252723694},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22059959173202515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8737416863441467},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6599534749984741},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6380995512008667},{"id":"https://openalex.org/C2778220771","wikidata":"https://www.wikidata.org/wiki/Q1522579","display_name":"Substitution (logic)","level":2,"score":0.6301578879356384},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5941364765167236},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5736450552940369},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5658057928085327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048931241035461},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4963744282722473},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.43412625789642334},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23281875252723694},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22059959173202515},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"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:10.3115/v1/n15-3024","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3024","pdf_url":"https://www.aclweb.org/anthology/N15-3024.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.8330","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.8330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/N/N15/N15-3024.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-3024","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3024","pdf_url":"https://www.aclweb.org/anthology/N15-3024.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G2778423969","display_name":null,"funder_award_id":"12475008","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G677145953","display_name":"CAREER: Semantic Interpretation with Monolingual and Cross-lingual Evidence","funder_award_id":"1361274","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251149612.pdf","grobid_xml":"https://content.openalex.org/works/W2251149612.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W22627370","https://openalex.org/W138800207","https://openalex.org/W185318260","https://openalex.org/W1608540659","https://openalex.org/W1987219442","https://openalex.org/W2024771694","https://openalex.org/W2025746854","https://openalex.org/W2128691144","https://openalex.org/W2159188703","https://openalex.org/W2250975837","https://openalex.org/W2414321218","https://openalex.org/W4248677198","https://openalex.org/W4380789540"],"related_works":["https://openalex.org/W2379444625","https://openalex.org/W2393147081","https://openalex.org/W2575869988","https://openalex.org/W4308647020","https://openalex.org/W2370088286","https://openalex.org/W2385568494","https://openalex.org/W2912058948","https://openalex.org/W2588424405","https://openalex.org/W2075768550","https://openalex.org/W2042068218"],"abstract_inverted_index":{"We":[0,53,64],"introduce":[1],"an":[2],"interactive":[3],"interface":[4,25,38],"that":[5,46,75],"aims":[6],"to":[7,29],"help":[8],"English":[9],"as":[10],"a":[11,22,56,60,72],"Second":[12],"Language":[13],"(ESL)":[14],"students":[15],"overcome":[16],"language":[17],"related":[18],"hindrances":[19],"while":[20],"reading":[21],"text.":[23],"The":[24,37],"allows":[26],"the":[27,67],"user":[28],"find":[30],"supplementary":[31],"information":[32],"on":[33,82],"selected":[34],"difficult":[35,51,80],"words.":[36,52],"is":[39],"empowered":[40],"by":[41],"our":[42],"lexical":[43,68],"substitution":[44,69],"engine":[45,70],"provides":[47],"context-based":[48],"synonyms":[49],"for":[50,59],"also":[54],"provide":[55],"practical":[57],"solution":[58],"real-world":[61],"usage":[62],"scenario.":[63],"demonstrate":[65],"using":[66],"-as":[71],"browser":[73],"extension":[74],"can":[76],"annotate":[77],"and":[78],"disambiguate":[79],"words":[81],"any":[83],"webpage.":[84]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}