{"id":"https://openalex.org/W2165705960","doi":null,"title":"Joint multilingual learning for coreference resolution","display_name":"Joint multilingual learning for coreference resolution","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2165705960","mag":"2165705960"},"language":"en","primary_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/91126","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91126","pdf_url":"http://hdl.handle.net/1721.1/91126","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/91126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023879081","display_name":"Andreea Bodnari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andreea Bodnari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5023879081"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9932000041007996,"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":0.9932000041007996,"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":0.006099999882280827,"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":0.00039999998989515007,"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/coreference-resolution","display_name":"coreference resolution","score":0.968999981880188},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.9520000219345093},{"id":"https://openalex.org/keywords/multilingual-learning","display_name":"multilingual learning","score":0.6330000162124634},{"id":"https://openalex.org/keywords/joint-modeling","display_name":"joint modeling","score":0.6549999713897705},{"id":"https://openalex.org/keywords/syntactic-analysis","display_name":"syntactic analysis","score":0.8989999890327454},{"id":"https://openalex.org/keywords/probabilistic-models","display_name":"probabilistic models","score":0.8809999823570251},{"id":"https://openalex.org/keywords/language-structure","display_name":"language structure","score":0.4309999942779541},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.7310000061988831}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9193145036697388},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6488686203956604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5924402475357056},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5555480122566223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255942344665527},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.518117368221283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.335138738155365},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0989232063293457},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:dspace.mit.edu:1721.1/91126","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91126","pdf_url":"http://hdl.handle.net/1721.1/91126","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.885.4912","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.885.4912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dspace.mit.edu/bitstream/handle/1721.1/91126/893081746-MIT.pdf%3Bjsessionid%3D232FF747ACED57AB22290ABE523B6317?sequence%3D2","raw_type":"text"},{"id":"mag:2165705960","doi":null,"is_oa":false,"landing_page_url":"https://groups.csail.mit.edu/medg/ftp/bodnari/phd.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/91126","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91126","pdf_url":"http://hdl.handle.net/1721.1/91126","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2165705960.pdf","grobid_xml":"https://content.openalex.org/works/W2165705960.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W79139011","https://openalex.org/W93223731","https://openalex.org/W140467209","https://openalex.org/W158861739","https://openalex.org/W181643614","https://openalex.org/W205133934","https://openalex.org/W239563548","https://openalex.org/W331019419","https://openalex.org/W573751095","https://openalex.org/W635530177","https://openalex.org/W772343327","https://openalex.org/W1480789518","https://openalex.org/W1491975949","https://openalex.org/W1495981708","https://openalex.org/W1502953191","https://openalex.org/W1511887618","https://openalex.org/W1528056001","https://openalex.org/W1548438094","https://openalex.org/W1562942180","https://openalex.org/W1632114991","https://openalex.org/W1639395665","https://openalex.org/W1657765689","https://openalex.org/W1672757658","https://openalex.org/W1858063944","https://openalex.org/W1894835849","https://openalex.org/W1956280017","https://openalex.org/W1956559956","https://openalex.org/W1965693266","https://openalex.org/W1966216266","https://openalex.org/W1967770672","https://openalex.org/W1996296896","https://openalex.org/W1996430422","https://openalex.org/W2016630033","https://openalex.org/W2020278455","https://openalex.org/W2027979924","https://openalex.org/W2029097226","https://openalex.org/W2042162260","https://openalex.org/W2048808408","https://openalex.org/W2050273484","https://openalex.org/W2052605928","https://openalex.org/W2089505529","https://openalex.org/W2093719614","https://openalex.org/W2098345921","https://openalex.org/W2099253769","https://openalex.org/W2099896133","https://openalex.org/W2102366626","https://openalex.org/W2102411528","https://openalex.org/W2109389484","https://openalex.org/W2110882317","https://openalex.org/W2114388055","https://openalex.org/W2115774663","https://openalex.org/W2117729721","https://openalex.org/W2119013622","https://openalex.org/W2122922578","https://openalex.org/W2126525262","https://openalex.org/W2134275125","https://openalex.org/W2139235472","https://openalex.org/W2139354869","https://openalex.org/W2143995218","https://openalex.org/W2145211186","https://openalex.org/W2147706904","https://openalex.org/W2151699502","https://openalex.org/W2152691628","https://openalex.org/W2152966212","https://openalex.org/W2153804780","https://openalex.org/W2155069789","https://openalex.org/W2156064360","https://openalex.org/W2158388102","https://openalex.org/W2161795601","https://openalex.org/W2164076936","https://openalex.org/W2164119735","https://openalex.org/W2166512823","https://openalex.org/W2168041406","https://openalex.org/W2168596725","https://openalex.org/W2171054746","https://openalex.org/W2250862915","https://openalex.org/W2251529656","https://openalex.org/W2251863714","https://openalex.org/W2347007084","https://openalex.org/W2437005631","https://openalex.org/W2506797056","https://openalex.org/W2569308312"],"related_works":["https://openalex.org/W7061890839","https://openalex.org/W7071978259","https://openalex.org/W2126525262","https://openalex.org/W2758851782","https://openalex.org/W2187232858","https://openalex.org/W1961722061","https://openalex.org/W2319889512","https://openalex.org/W2252166782","https://openalex.org/W7166802051","https://openalex.org/W7097547880"],"abstract_inverted_index":{"Natural":[0],"language":[1],"is":[2,17,92],"a":[3,87],"pervasive":[4],"human":[5],"skill":[6],"not":[7],"yet":[8],"fully":[9],"achievable":[10],"by":[11,75],"automated":[12],"computing":[13],"systems.The":[14],"main":[15],"challenge":[16],"understanding":[18],"how":[19],"to":[20,124],"computationally":[21],"model":[22,41,70,137],"both":[23,42,138],"the":[24,27,43,46,83,95,139,142,148],"depth":[25,44,140],"and":[26,45,58,65,106,141],"breadth":[28,47,143],"of":[29,48,61,86,94,102,119,144],"natural":[30,49,145],"languages.In":[31],"this":[32],"thesis,":[33],"I":[34],"present":[35],"two":[36,52],"probabilistic":[37],"models":[38,74],"that":[39,133],"systematically":[40],"languages":[50,81,121,146],"for":[51],"different":[53],"linguistic":[54,77,111,130,150],"tasks:":[55],"syntactic":[56,68],"parsing":[57,69],"joint":[59,99],"learning":[60],"named":[62,103],"entity":[63,104],"recognition":[64,105],"coreference":[66,89,107],"resolution.The":[67],"outperforms":[71],"current":[72],"state-of-the-art":[73,125],"discovering":[76],"information":[78],"shared":[79,152],"across":[80,153],"at":[82,98],"granular":[84],"level":[85],"sentence.The":[88],"resolution":[90,108],"system":[91],"one":[93],"first":[96],"attempts":[97],"multilingual":[100],"modeling":[101],"with":[109,128],"limited":[110],"resources.It":[112],"performs":[113],"second":[114],"best":[115],"on":[116],"three":[117],"out":[118],"four":[120],"when":[122],"compared":[123],"systems":[126],"built":[127],"rich":[129],"resources.I":[131],"show":[132],"we":[134],"can":[135],"simultaneously":[136],"using":[147],"underlying":[149],"structure":[151],"languages.":[154]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}