{"id":"https://openalex.org/W2250363466","doi":"https://doi.org/10.3115/v1/n15-3019","title":"CroVeWA: Crosslingual Vector-Based Writing Assistance","display_name":"CroVeWA: Crosslingual Vector-Based Writing Assistance","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250363466","doi":"https://doi.org/10.3115/v1/n15-3019","mag":"2250363466"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-3019","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3019","pdf_url":null,"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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/n15-3019","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046090328","display_name":"Hubert Soyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hubert Soyer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019936883","display_name":"Goran Topi\u0107","orcid":"https://orcid.org/0000-0002-4242-6881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goran Topi\u0107","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049427071","display_name":"Pontus Stenetorp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pontus Stenetorp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041062417","display_name":"Akiko Aizawa","orcid":"https://orcid.org/0000-0001-6544-5076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akiko Aizawa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2058,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47652838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","score":0.9987999796867371,"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":0.8750625848770142},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6179285645484924},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5921074748039246},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5623098015785217},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5388616323471069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.530790388584137},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.5204927325248718},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48982760310173035},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42545440793037415},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4166538715362549},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.26606443524360657},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20127394795417786},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11729392409324646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8750625848770142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6179285645484924},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5921074748039246},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5623098015785217},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5388616323471069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.530790388584137},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.5204927325248718},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48982760310173035},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42545440793037415},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4166538715362549},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.26606443524360657},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20127394795417786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11729392409324646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-3019","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3019","pdf_url":null,"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"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-3019","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-3019","pdf_url":null,"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":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W1614298861","https://openalex.org/W1627400044","https://openalex.org/W1995525722","https://openalex.org/W2117130368","https://openalex.org/W2131744502","https://openalex.org/W2142074148","https://openalex.org/W2152825437","https://openalex.org/W2157331557","https://openalex.org/W2158199200","https://openalex.org/W2187089797","https://openalex.org/W2251803266","https://openalex.org/W2963349387"],"related_works":["https://openalex.org/W2963364736","https://openalex.org/W2808113865","https://openalex.org/W3046869600","https://openalex.org/W2112408611","https://openalex.org/W4366284213","https://openalex.org/W3125649664","https://openalex.org/W4235405867","https://openalex.org/W3153899207","https://openalex.org/W3181580843","https://openalex.org/W909526553"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2],"interactive":[3],"web-based":[4],"writing":[5],"assistance":[6],"system":[7,26,48],"that":[8,53],"is":[9,61],"based":[10],"on":[11],"recent":[12],"advances":[13],"in":[14,21],"crosslingual":[15],"compositional":[16],"distributed":[17],"semantics.":[18],"Given":[19],"queries":[20],"Japanese":[22],"or":[23],"English,":[24],"our":[25,47],"can":[27],"retrieve":[28],"semantically":[29],"related":[30],"sentences":[31],"from":[32,56],"high":[33],"quality":[34],"English":[35],"corpora.":[36],"By":[37],"employing":[38],"crosslingually":[39],"constrained":[40],"vector":[41],"space":[42],"models":[43],"to":[44,63],"represent":[45],"phrases,":[46],"naturally":[49],"sidesteps":[50],"several":[51],"difficulties":[52],"would":[54],"arise":[55],"direct":[57],"word-to-text":[58],"matching,":[59],"and":[60,76],"able":[62],"provide":[64],"novel":[65],"functionality":[66],"like":[67],"the":[68],"visualization":[69],"of":[70],"semantic":[71],"relationships":[72],"between":[73],"phrases":[74],"interlingually":[75],"intralingually.":[77]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}