{"id":"https://openalex.org/W2460684152","doi":"https://doi.org/10.18653/v1/s16-1107","title":"IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity","display_name":"IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2460684152","doi":"https://doi.org/10.18653/v1/s16-1107","mag":"2460684152"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1107","pdf_url":"https://www.aclweb.org/anthology/S16-1107.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1107.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071896961","display_name":"Maryna Beliuha","orcid":null},"institutions":[{"id":"https://openalex.org/I85893468","display_name":"IHS Markit (United States)","ror":"https://ror.org/02hrn9a05","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135009","https://openalex.org/I85893468"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maryna Beliuha","raw_affiliation_strings":["IHS Inc. / IHS Global Belarus 131 Starovilenskaya St 220123, Minsk, Belarus"],"affiliations":[{"raw_affiliation_string":"IHS Inc. / IHS Global Belarus 131 Starovilenskaya St 220123, Minsk, Belarus","institution_ids":["https://openalex.org/I85893468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002097881","display_name":"Maryna Chernyshevich","orcid":null},"institutions":[{"id":"https://openalex.org/I85893468","display_name":"IHS Markit (United States)","ror":"https://ror.org/02hrn9a05","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135009","https://openalex.org/I85893468"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryna Chernyshevich","raw_affiliation_strings":["IHS Inc. / IHS Global Belarus 131 Starovilenskaya St 220123, Minsk, Belarus"],"affiliations":[{"raw_affiliation_string":"IHS Inc. / IHS Global Belarus 131 Starovilenskaya St 220123, Minsk, Belarus","institution_ids":["https://openalex.org/I85893468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071896961"],"corresponding_institution_ids":["https://openalex.org/I85893468"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03300238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"696","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9980000257492065,"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/T11719","display_name":"Data Quality and Management","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.9532722234725952},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7800725698471069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.763870358467102},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6892657279968262},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6029386520385742},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5980235934257507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322667956352234},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.062224119901657104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.051893770694732666}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9532722234725952},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7800725698471069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763870358467102},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6892657279968262},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6029386520385742},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5980235934257507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322667956352234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.062224119901657104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.051893770694732666},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s16-1107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1107","pdf_url":"https://www.aclweb.org/anthology/S16-1107.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1107","pdf_url":"https://www.aclweb.org/anthology/S16-1107.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 10th International Workshop on Semantic Evaluation (SemEval-2016)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2460684152.pdf","grobid_xml":"https://content.openalex.org/works/W2460684152.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1522930108","https://openalex.org/W2022470916","https://openalex.org/W2126400076","https://openalex.org/W2133458109","https://openalex.org/W2152180407","https://openalex.org/W2153635508","https://openalex.org/W2162130683","https://openalex.org/W2251861449","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W4291593823","https://openalex.org/W2805641541","https://openalex.org/W4287888941","https://openalex.org/W4221151255","https://openalex.org/W2955722679","https://openalex.org/W2963463993"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,7,20,30],"system":[4],"for":[5,19,52],"rating":[6],"degree":[8],"of":[9,33,55],"semantic":[10],"equivalence":[11],"between":[12],"two":[13],"text":[14,34],"snippets":[15],"developed":[16],"by":[17],"IHS-RD-Belarus":[18],"SemEval":[21],"2016":[22],"STS":[23],"shared":[24],"task":[25],"(Task":[26],"1).":[27],"To":[28],"predict":[29],"human":[31],"ratings":[32],"similarity":[35,47],"we":[36],"use":[37],"a":[38],"support":[39],"vector":[40],"regression":[41],"model":[42],"with":[43],"multiple":[44],"features":[45],"representing":[46],"and":[48],"difference":[49],"scores":[50],"calculated":[51],"each":[53],"pair":[54],"sentences.":[56]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}