{"id":"https://openalex.org/W2472967012","doi":"https://doi.org/10.18653/v1/s16-1121","title":"FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity","display_name":"FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2472967012","doi":"https://doi.org/10.18653/v1/s16-1121","mag":"2472967012"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1121","pdf_url":"https://www.aclweb.org/anthology/S16-1121.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":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-1121.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061447784","display_name":"Simone Magnolini","orcid":"https://orcid.org/0000-0003-0170-3472"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Magnolini","raw_affiliation_strings":["Fondazione Bruno Kessler University of Brescia Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler University of Brescia Brescia, Italy","institution_ids":["https://openalex.org/I2277624104","https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075489729","display_name":"Anna Feltracco","orcid":null},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Feltracco","raw_affiliation_strings":["Fondazione Bruno Kessler University of Pavia Pavia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler University of Pavia Pavia, Italy","institution_ids":["https://openalex.org/I2277624104","https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066077296","display_name":"Bernardo Magnini","orcid":"https://orcid.org/0000-0002-0740-5778"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bernardo Magnini","raw_affiliation_strings":["Fondazione Bruno Kessler Povo-Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler Povo-Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9706,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77687082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"783","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","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/T13629","display_name":"Text Readability and Simplification","score":0.9663000106811523,"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/semeval","display_name":"SemEval","score":0.8900959491729736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8100841045379639},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7968569993972778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618426084518433},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7544534206390381},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.712500274181366},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5933996438980103},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5110806226730347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07759314775466919},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.053961366415023804}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8900959491729736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8100841045379639},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7968569993972778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618426084518433},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7544534206390381},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.712500274181366},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5933996438980103},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5110806226730347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07759314775466919},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.053961366415023804},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/s16-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1121","pdf_url":"https://www.aclweb.org/anthology/S16-1121.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"},{"id":"pmh:oai:zenodo.org:54408","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/54408","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.5281/zenodo.54408","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.54408","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-1121","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-1121","pdf_url":"https://www.aclweb.org/anthology/S16-1121.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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2472967012.pdf","grobid_xml":"https://content.openalex.org/works/W2472967012.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1811404221","https://openalex.org/W2110453538","https://openalex.org/W2126400076","https://openalex.org/W2133458109","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250790822","https://openalex.org/W2251861449","https://openalex.org/W2464186148","https://openalex.org/W2579915115","https://openalex.org/W4294170691"],"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":{"We":[0,27],"present":[1],"the":[2,8,21,24,37,42,46,49,61,74,82],"system":[3],"developed":[4],"at":[5,39],"FBK":[6],"for":[7,35],"SemEval":[9],"2016":[10],"Shared":[11],"Task":[12],"2":[13],"\"Interpretable":[14],"Semantic":[15],"Textual":[16],"Similarity\"":[17],"as":[18,20,57],"well":[19],"results":[22],"of":[23,45],"submitted":[25],"runs.":[26],"use":[28],"a":[29],"single":[30],"neural":[31],"network":[32],"classification":[33],"model":[34],"predicting":[36],"alignment":[38,47],"chunk":[40],"level,":[41],"relation":[43],"type":[44],"and":[48,73],"similarity":[50],"scores.":[51],"Our":[52],"best":[53],"run":[54],"was":[55],"ranked":[56],"first":[58],"in":[59],"one":[60],"subtracks":[62],"(i.e.":[63],"raw":[64],"input":[65],"data,":[66],"Student":[67],"Answers),":[68],"among":[69],"12":[70],"runs":[71],"submitted,":[72],"approach":[75],"proved":[76],"to":[77],"be":[78],"very":[79],"robust":[80],"across":[81],"different":[83],"datasets.":[84]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}