{"id":"https://openalex.org/W1966204847","doi":"https://doi.org/10.1145/1088622.1088650","title":"Indirect anaphora resolution as semantic path search","display_name":"Indirect anaphora resolution as semantic path search","publication_year":2005,"publication_date":"2005-10-02","ids":{"openalex":"https://openalex.org/W1966204847","doi":"https://doi.org/10.1145/1088622.1088650","mag":"1966204847"},"language":"en","primary_location":{"id":"doi:10.1145/1088622.1088650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088622.1088650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international conference on Knowledge capture","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101629890","display_name":"James Fan","orcid":"https://orcid.org/0000-0001-9827-7144"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"James Fan","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768439","display_name":"Ken Barker","orcid":"https://orcid.org/0000-0003-0899-8904"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ken Barker","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108790119","display_name":"Bruce Porter","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Porter","raw_affiliation_strings":["University of Texas at Austin, Austin, TX"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101629890"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":1.8268,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87038055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"153","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T12031","display_name":"Speech and dialogue systems","score":0.9966999888420105,"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/anaphora","display_name":"Anaphora (linguistics)","score":0.9522287845611572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7378145456314087},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6988304853439331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.637835681438446},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.6124902963638306},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5900799632072449},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5014855861663818},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4986748695373535},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49712827801704407},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4915073812007904},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42097729444503784},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2029900848865509},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09370607137680054},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08991718292236328}],"concepts":[{"id":"https://openalex.org/C2781449363","wikidata":"https://www.wikidata.org/wiki/Q156751","display_name":"Anaphora (linguistics)","level":3,"score":0.9522287845611572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7378145456314087},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6988304853439331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637835681438446},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.6124902963638306},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5900799632072449},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5014855861663818},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4986748695373535},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49712827801704407},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4915073812007904},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42097729444503784},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2029900848865509},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09370607137680054},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08991718292236328},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1088622.1088650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088622.1088650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international conference on Knowledge capture","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.62.2384","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.2384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/mfkb/papers/kcap05-anaphora.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W3195375","https://openalex.org/W79548659","https://openalex.org/W81180499","https://openalex.org/W98137597","https://openalex.org/W1507223999","https://openalex.org/W1528859321","https://openalex.org/W1573330584","https://openalex.org/W1574901103","https://openalex.org/W1593573332","https://openalex.org/W1594920570","https://openalex.org/W1980409190","https://openalex.org/W2012421732","https://openalex.org/W2036666224","https://openalex.org/W2061954183","https://openalex.org/W2084941369","https://openalex.org/W2122555327","https://openalex.org/W2130854946","https://openalex.org/W2131340601","https://openalex.org/W2142131598","https://openalex.org/W2164455818","https://openalex.org/W2169789327","https://openalex.org/W2171549925","https://openalex.org/W2529278416","https://openalex.org/W2734583084","https://openalex.org/W2742687748","https://openalex.org/W2998439703","https://openalex.org/W3087838514","https://openalex.org/W4244319398","https://openalex.org/W6600111531","https://openalex.org/W6603269479","https://openalex.org/W6635506396","https://openalex.org/W6635843083","https://openalex.org/W6783676914"],"related_works":["https://openalex.org/W3157556506","https://openalex.org/W2045494691","https://openalex.org/W2884082915","https://openalex.org/W2353619472","https://openalex.org/W2224947892","https://openalex.org/W2615457777","https://openalex.org/W2950376965","https://openalex.org/W1853461754","https://openalex.org/W4384027364","https://openalex.org/W2157752553"],"abstract_inverted_index":{"Anaphora":[0],"occur":[1],"commonly":[2],"in":[3,17,46,54,78,127],"natural":[4,55],"language":[5],"text,":[6],"and":[7,30,71,80,101],"resolving":[8],"them":[9],"is":[10],"essential":[11],"for":[12,90],"capturing":[13],"the":[14,27,31,51,106,109,124,136],"knowledge":[15,52],"encoded":[16],"text.":[18],"Indirect":[19],"anaphora":[20,40,59],"are":[21,33],"especially":[22],"challenging":[23],"to":[24,42,48,97],"resolve":[25,98],"because":[26],"referring":[28],"expression":[29],"antecedent":[32],"related":[34],"by":[35],"unstated":[36],"background":[37],"knowledge.":[38],"Such":[39],"need":[41],"be":[43],"resolved":[44],"properly":[45],"order":[47],"automatically":[49],"capture":[50],"expressed":[53],"language.":[56],"Resolving":[57],"indirect":[58],"has":[60],"been":[61],"treated":[62],"as":[63],"a":[64,87],"unique":[65],"problem":[66],"that":[67,123],"requires":[68],"special-purpose":[69],"methods,":[70],"these":[72,99],"methods":[73],"have":[74],"had":[75],"limited":[76],"success":[77],"precision":[79],"recall.":[81],"In":[82],"this":[83],"study,":[84],"we":[85],"used":[86],"generic":[88],"tool":[89],"finding":[91],"semantic":[92],"paths":[93],"between":[94],"two":[95],"concepts":[96],"anaphora,":[100],"it":[102],"achieved":[103],"approximately":[104],"twice":[105],"recall":[107,128],"of":[108,115,119,135],"best":[110],"previous":[111],"system":[112],"without":[113],"loss":[114],"precision.":[116],"A":[117],"series":[118],"ablation":[120],"study":[121],"showed":[122],"biggest":[125],"increase":[126],"came":[129],"from":[130],"an":[131],"abductive":[132],"stopping":[133],"criterion":[134],"search.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
