{"id":"https://openalex.org/W2986148666","doi":"https://doi.org/10.18653/v1/d19-1136","title":"Vecalign: Improved Sentence Alignment in Linear Time and Space","display_name":"Vecalign: Improved Sentence Alignment in Linear Time and Space","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2986148666","doi":"https://doi.org/10.18653/v1/d19-1136","mag":"2986148666"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1136","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1136","pdf_url":"https://www.aclweb.org/anthology/D19-1136.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1136.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105836462","display_name":"Brian J. Thompson","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian Thompson","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112315093","display_name":"Philipp Koehn","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philipp Koehn","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105836462"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":5.3467,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96550826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1342","last_page":"1348"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9940999746322632,"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":0.658110499382019},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4936612546443939},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.49175384640693665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095127284526825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658110499382019},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4936612546443939},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.49175384640693665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095127284526825},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1136","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1136","pdf_url":"https://www.aclweb.org/anthology/D19-1136.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1136","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1136","pdf_url":"https://www.aclweb.org/anthology/D19-1136.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G8926491534","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320333566","funder_display_name":"National Defense Science and Engineering Graduate"}],"funders":[{"id":"https://openalex.org/F4320333566","display_name":"National Defense Science and Engineering Graduate","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986148666.pdf","grobid_xml":"https://content.openalex.org/works/W2986148666.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W630532510","https://openalex.org/W1489181569","https://openalex.org/W1596675947","https://openalex.org/W1697904720","https://openalex.org/W1819903106","https://openalex.org/W2041532239","https://openalex.org/W2117652747","https://openalex.org/W2144994235","https://openalex.org/W2148334774","https://openalex.org/W2157133710","https://openalex.org/W2250646737","https://openalex.org/W2496235729","https://openalex.org/W2508809683","https://openalex.org/W2574732135","https://openalex.org/W2787646045","https://openalex.org/W2794365787","https://openalex.org/W2796578018","https://openalex.org/W2886198413","https://openalex.org/W2962735107","https://openalex.org/W2963919854","https://openalex.org/W2970686691","https://openalex.org/W2970858854","https://openalex.org/W2973088264","https://openalex.org/W3010805239","https://openalex.org/W3166956191","https://openalex.org/W4206856021"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2035950535","https://openalex.org/W2351555819","https://openalex.org/W4283585122","https://openalex.org/W4281750503","https://openalex.org/W2375211870","https://openalex.org/W1567338489","https://openalex.org/W1572900345","https://openalex.org/W159132833","https://openalex.org/W110339012"],"abstract_inverted_index":{"Brian":[0],"Thompson,":[1],"Philipp":[2],"Koehn.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":18}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
