{"id":"https://openalex.org/W1976792452","doi":"https://doi.org/10.1017/s1351324912000393","title":"Adaptive graph walk-based similarity measures for parsed text","display_name":"Adaptive graph walk-based similarity measures for parsed text","publication_year":2013,"publication_date":"2013-02-11","ids":{"openalex":"https://openalex.org/W1976792452","doi":"https://doi.org/10.1017/s1351324912000393","mag":"1976792452"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324912000393","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324912000393","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-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/A5057700630","display_name":"Einat Minkov","orcid":"https://orcid.org/0000-0001-8421-5209"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"EINAT MINKOV","raw_affiliation_strings":["Department of Information Systems, University of Haifa, Haifa, Israel e-mail:","Dept. of Information Systems University of Haifa Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Haifa, Haifa, Israel e-mail:","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"Dept. of Information Systems University of Haifa Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051617344","display_name":"William W. Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"WILLIAM W. COHEN","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA e-mail:","[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA e-mail:","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057700630"],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":2.4711,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89878829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"3","first_page":"361","last_page":"397"},"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":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/T13629","display_name":"Text Readability and Simplification","score":0.9945999979972839,"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":0.8448575735092163},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5663031339645386},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5565494894981384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359656810760498},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5162108540534973},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43408384919166565},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4178684949874878},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35215938091278076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8448575735092163},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5663031339645386},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5565494894981384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359656810760498},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5162108540534973},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43408384919166565},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4178684949874878},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35215938091278076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s1351324912000393","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324912000393","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W196354989","https://openalex.org/W1508977358","https://openalex.org/W1524281572","https://openalex.org/W1525595230","https://openalex.org/W1563163909","https://openalex.org/W1574901103","https://openalex.org/W1593338527","https://openalex.org/W1596950501","https://openalex.org/W1854214752","https://openalex.org/W1869681298","https://openalex.org/W1950142954","https://openalex.org/W1950936596","https://openalex.org/W1991862576","https://openalex.org/W2005098805","https://openalex.org/W2005181355","https://openalex.org/W2025910815","https://openalex.org/W2028709054","https://openalex.org/W2029258770","https://openalex.org/W2038721957","https://openalex.org/W2055518963","https://openalex.org/W2068737686","https://openalex.org/W2077943220","https://openalex.org/W2083598336","https://openalex.org/W2093641143","https://openalex.org/W2097391913","https://openalex.org/W2103351891","https://openalex.org/W2105016755","https://openalex.org/W2110616675","https://openalex.org/W2110693578","https://openalex.org/W2115843962","https://openalex.org/W2117510361","https://openalex.org/W2120814856","https://openalex.org/W2121127625","https://openalex.org/W2126034021","https://openalex.org/W2133532371","https://openalex.org/W2138627627","https://openalex.org/W2142086811","https://openalex.org/W2144087279","https://openalex.org/W2146442558","https://openalex.org/W2149801387","https://openalex.org/W2155734786","https://openalex.org/W2160408828","https://openalex.org/W2163953154","https://openalex.org/W2166021673","https://openalex.org/W2166776180","https://openalex.org/W2170344111","https://openalex.org/W2170682101","https://openalex.org/W2598684926","https://openalex.org/W2603258515","https://openalex.org/W2608239929","https://openalex.org/W2618735189","https://openalex.org/W2785349534","https://openalex.org/W2892737606","https://openalex.org/W2903296288","https://openalex.org/W3101913037","https://openalex.org/W4206070857","https://openalex.org/W4210834152","https://openalex.org/W4235505822","https://openalex.org/W6607964527"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2250525544","https://openalex.org/W2159336305","https://openalex.org/W2987141700","https://openalex.org/W2953770453","https://openalex.org/W2130795788"],"abstract_inverted_index":{"Abstract":[0],"We":[1,29,65],"consider":[2],"a":[3,11,57,70,77],"dependency-parsed":[4],"text":[5,138],"corpus":[6],"as":[7],"an":[8],"instance":[9],"of":[10,38,105],"labeled":[12],"directed":[13,21],"graph,":[14],"where":[15],"nodes":[16],"represent":[17,23],"words":[18],"and":[19,44,68,111,132],"weighted":[20],"edges":[22],"the":[24,48,84,98,103],"syntactic":[25],"relations":[26],"between":[27],"them.":[28],"show":[30,116],"that":[31,41,117],"graph":[32,49,79],"walks,":[33],"combined":[34],"with":[35],"existing":[36],"techniques":[37],"supervised":[39],"learning":[40,72,129],"model":[42],"local":[43],"global":[45],"information":[46],"about":[47,92],"walk":[50,80,85],"process,":[51],"can":[52],"be":[53],"used":[54],"to":[55,135],"derive":[56],"task-specific":[58],"word":[59,113],"similarity":[60],"measure":[61],"in":[62,74,82,97],"this":[63,75,118],"graph.":[64,99],"also":[66],"propose":[67],"evaluate":[69],"new":[71],"method":[73],"framework,":[76],"path-constrained":[78],"variant,":[81],"which":[83],"process":[86],"is":[87,120,130],"guided":[88],"by":[89],"high-level":[90],"knowledge":[91],"meaningful":[93],"edge":[94],"sequences":[95],"(paths)":[96],"Empirical":[100],"evaluation":[101],"on":[102],"tasks":[104],"named":[106],"entity":[107],"coordinate":[108],"term":[109],"extraction":[110,115],"general":[112],"synonym":[114],"framework":[119],"preferable":[121],"to,":[122],"or":[123],"competitive":[124],"with,":[125],"vector-based":[126],"models":[127],"when":[128],"applied,":[131],"using":[133],"small":[134],"moderate":[136],"size":[137],"corpora.":[139]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
