{"id":"https://openalex.org/W2251385083","doi":"https://doi.org/10.3115/v1/p15-1097","title":"Structural Representations for Learning Relations between Pairs of Texts","display_name":"Structural Representations for Learning Relations between Pairs of Texts","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251385083","doi":"https://doi.org/10.3115/v1/p15-1097","mag":"2251385083"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p15-1097","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1097","pdf_url":"https://doi.org/10.3115/v1/p15-1097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","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/p15-1097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093826503","display_name":"Simone Filice","orcid":"https://orcid.org/0009-0002-6735-9950"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Simone Filice","raw_affiliation_strings":["Hamad Bin Khalifa University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamad Bin Khalifa University#TAB#","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033850423","display_name":"Giovanni Da San Martino","orcid":"https://orcid.org/0000-0002-2609-483X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Da San Martino","raw_affiliation_strings":["Qatar Computing Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056376686","display_name":"Alessandro Moschitti","orcid":"https://orcid.org/0000-0003-2216-8034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Moschitti","raw_affiliation_strings":["Qatar Computing Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1003","last_page":"1013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9891999959945679,"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":0.7991287708282471},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7723153829574585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6971057057380676},{"id":"https://openalex.org/keywords/textual-entailment","display_name":"Textual entailment","score":0.5671236515045166},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.484135240316391},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4280795454978943},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.34395867586135864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1497853696346283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991287708282471},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7723153829574585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6971057057380676},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.5671236515045166},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.484135240316391},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4280795454978943},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.34395867586135864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1497853696346283},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/v1/p15-1097","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1097","pdf_url":"https://doi.org/10.3115/v1/p15-1097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.725.235","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://disi.unitn.it/moschitti/since2013/2015_ACL_Filice_StructuralRepresentations.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/127392","is_oa":true,"landing_page_url":"http://www.aclweb.org/anthology/P15-1097","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3115/v1/p15-1097","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p15-1097","pdf_url":"https://doi.org/10.3115/v1/p15-1097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W151785663","https://openalex.org/W1493309689","https://openalex.org/W1510073064","https://openalex.org/W1587871245","https://openalex.org/W1605667540","https://openalex.org/W1614298861","https://openalex.org/W1748393397","https://openalex.org/W1816257748","https://openalex.org/W1835509607","https://openalex.org/W1980776243","https://openalex.org/W1994383019","https://openalex.org/W2024650720","https://openalex.org/W2026625220","https://openalex.org/W2059031628","https://openalex.org/W2065249013","https://openalex.org/W2103305545","https://openalex.org/W2107598941","https://openalex.org/W2114549924","https://openalex.org/W2120779048","https://openalex.org/W2126851059","https://openalex.org/W2130074866","https://openalex.org/W2130158090","https://openalex.org/W2137476097","https://openalex.org/W2140298320","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2151170651","https://openalex.org/W2153635508","https://openalex.org/W2161201865","https://openalex.org/W2171278097","https://openalex.org/W2250470611","https://openalex.org/W2250701144","https://openalex.org/W2251171083","https://openalex.org/W2251298087","https://openalex.org/W2251346998","https://openalex.org/W2251366302","https://openalex.org/W2251921768","https://openalex.org/W2402486987","https://openalex.org/W2407839853","https://openalex.org/W2989499211"],"related_works":["https://openalex.org/W2118335617","https://openalex.org/W2296063830","https://openalex.org/W2053800966","https://openalex.org/W1997269821","https://openalex.org/W1987976971","https://openalex.org/W2795227599","https://openalex.org/W192785878","https://openalex.org/W2911667057","https://openalex.org/W131127834","https://openalex.org/W187730917"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,21,23,31,39,53,56,71,112],"use":[4],"of":[5,13,20,98,104],"structural":[6],"representations":[7],"for":[8,83,101,110],"learning":[9],"relations":[10],"be-tween":[11],"pairs":[12,59,73],"short":[14],"texts":[15],"(e.g.,":[16],"sentences":[17],"or":[18,28,35],"paragraphs)":[19],"kind:":[22],"second":[24],"text":[25,58,72],"answers":[26],"to,":[27],"conveys":[29],"exactly":[30],"same":[32],"information":[33],"of,":[34],"is":[36,60],"implied":[37],"by,":[38],"first":[40],"text.":[41],"Engineering":[42],"effective":[43],"features":[44,86],"that":[45],"can":[46],"capture":[47],"syntactic":[48,66],"and":[49,67,74,78,118],"semantic":[50,68],"re-lations":[51],"between":[52],"constituents":[54],"compos-ing":[55],"target":[57],"rather":[61],"complex.":[62],"Thus,":[63],"we":[64],"define":[65],"structures":[69],"representing":[70],"then":[75],"apply":[76],"graph":[77],"tree":[79],"kernels":[80],"to":[81],"them":[82],"automatically":[84],"engineering":[85],"in":[87,115],"Support":[88],"Vector":[89],"Machines.":[90],"We":[91],"carry":[92],"out":[93],"an":[94],"extensive":[95],"comparative":[96],"analysis":[97],"state-of-the-art":[99],"models":[100],"this":[102],"type":[103],"relational":[105],"learning.":[106],"Our":[107],"findings":[108],"allow":[109],"achiev-ing":[111],"highest":[113],"accuracy":[114],"two":[116],"differ-ent":[117],"important":[119],"related":[120],"tasks,":[121],"i.e.,":[122],"Para-":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
