{"id":"https://openalex.org/W2251819693","doi":"https://doi.org/10.18653/v1/d13-1077","title":"Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set","display_name":"Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2251819693","doi":"https://doi.org/10.18653/v1/d13-1077","mag":"2251819693"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1077","pdf_url":"https://aclanthology.org/D13-1077.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1077.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078812348","display_name":"Yufang Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I71030271","display_name":"Heidelberg Institute for Theoretical Studies","ror":"https://ror.org/01f7bcy98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I71030271"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yufang Hou","raw_affiliation_strings":["Heidelberg Institute for Theoretical Studies, Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heidelberg Institute for Theoretical Studies, Heidelberg, Germany","institution_ids":["https://openalex.org/I71030271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082971401","display_name":"Katja Markert","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Katja Markert","raw_affiliation_strings":["University of Leeds, Leeds, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020347604","display_name":"Michael Strube","orcid":"https://orcid.org/0000-0002-4731-8142"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Strube","raw_affiliation_strings":["University of Leeds"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"814","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9980999827384949,"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/bridging","display_name":"Bridging (networking)","score":0.9443315267562866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7619383335113525},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.663079023361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5995801687240601},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46428433060646057},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.35604357719421387}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.9443315267562866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619383335113525},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.663079023361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995801687240601},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46428433060646057},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.35604357719421387},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/d13-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1077","pdf_url":"https://aclanthology.org/D13-1077.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.3763","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.3763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1077.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1077","pdf_url":"https://aclanthology.org/D13-1077.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2251819693.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W101214240","https://openalex.org/W143717276","https://openalex.org/W1528859321","https://openalex.org/W1807477017","https://openalex.org/W1982246600","https://openalex.org/W1997882102","https://openalex.org/W2015933299","https://openalex.org/W2025341897","https://openalex.org/W2046416131","https://openalex.org/W2082291422","https://openalex.org/W2083783479","https://openalex.org/W2105067765","https://openalex.org/W2124741472","https://openalex.org/W2132406104","https://openalex.org/W2140676672","https://openalex.org/W2142450061","https://openalex.org/W2156386291","https://openalex.org/W2169789327","https://openalex.org/W2170524863","https://openalex.org/W2171549925","https://openalex.org/W2251489622","https://openalex.org/W2729906263","https://openalex.org/W2756738828","https://openalex.org/W3087838514","https://openalex.org/W3139377003"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W2084768720","https://openalex.org/W2043010663","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Recognizing":[0],"bridging":[1,61],"anaphora":[2],"is":[3],"difficult":[4],"due":[5],"to":[6],"the":[7,11,13],"wide":[8],"variation":[9],"within":[10],"phenomenon,":[12],"resulting":[14],"lack":[15],"of":[16,52],"easily":[17],"identifiable":[18],"surface":[19],"markers":[20],"and":[21,32,36],"their":[22],"relative":[23],"rarity.":[24],"We":[25,58],"develop":[26],"linguistically":[27],"motivated":[28],"discourse":[29],"structure,":[30],"lexico-semantic":[31],"genericity":[33],"detection":[34],"fea-tures":[35],"integrate":[37],"these":[38],"into":[39],"a":[40,50],"cascaded":[41],"mi-nority":[42],"preference":[43],"algorithm":[44],"that":[45],"models":[46],"bridg-ing":[47],"recognition":[48,62],"as":[49],"subtask":[51],"learning":[53],"fine-grained":[54],"information":[55],"status":[56],"(IS).":[57],"substan-tially":[59],"improve":[60],"without":[63],"impairing":[64],"performance":[65],"on":[66],"other":[67],"IS":[68],"classes.":[69]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}