{"id":"https://openalex.org/W2963300641","doi":"https://doi.org/10.5220/0006035101660173","title":"DTATG: An Automatic Title Generator based on Dependency Trees","display_name":"DTATG: An Automatic Title Generator based on Dependency Trees","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2963300641","doi":"https://doi.org/10.5220/0006035101660173","mag":"2963300641"},"language":"en","primary_location":{"id":"doi:10.5220/0006035101660173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006035101660173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006035101660173","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110364265","display_name":"Liqun Shao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liqun Shao","raw_affiliation_strings":["University of Massachusetts, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440193","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-3679-8678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["University of Massachusetts, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9972000122070312,"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":0.9970999956130981,"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/dependency","display_name":"Dependency (UML)","score":0.8286719918251038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935392260551453},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7204291224479675},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6888211369514465},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6568846702575684},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6289247870445251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538542866706848},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5487840175628662},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4298161268234253},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.42574185132980347},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4238196611404419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1360797882080078},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08462771773338318}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8286719918251038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935392260551453},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7204291224479675},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6888211369514465},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6568846702575684},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6289247870445251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538542866706848},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5487840175628662},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4298161268234253},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42574185132980347},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4238196611404419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1360797882080078},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08462771773338318},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0006035101660173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006035101660173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0006035101660173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006035101660173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W2375873920","https://openalex.org/W2188500270","https://openalex.org/W3122478268","https://openalex.org/W2303858293","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675"],"abstract_inverted_index":{"We":[0,71,125],"study":[1],"automatic":[2],"title":[3,75,94,100,105],"generation":[4],"for":[5,43,54],"a":[6,13,23,40,46,51,64,74,80,86,89,99],"given":[7],"block":[8],"of":[9,26,34,56],"text":[10,36],"and":[11,37,59],"present":[12],"method":[14],"called":[15],"DTATG":[16,20,48,102,120],"to":[17,77],"generate":[18,122],"titles.":[19,124],"first":[21],"extracts":[22],"small":[24],"number":[25],"central":[27],"sentences":[28,58],"that":[29,119,128],"convey":[30],"the":[31,35,93,104,108,113,139],"main":[32],"meanings":[33],"are":[38],"in":[39],"suitable":[41],"structure":[42],"conversion":[44],"into":[45],"title.":[47,87,115],"then":[49,96],"constructs":[50],"dependency":[52],"tree":[53],"each":[55],"these":[57],"removes":[60],"certain":[61],"branches":[62],"using":[63],"Dependency":[65],"Tree":[66],"Compression":[67],"Model":[68],"we":[69],"devise.":[70],"also":[72,126],"devise":[73],"test":[76],"determine":[78],"if":[79],"sentence":[81,91],"can":[82,121],"be":[83],"used":[84],"as":[85,112],"If":[88],"trimmed":[90],"passes":[92],"test,":[95],"it":[97],"becomes":[98],"candidate.":[101],"selects":[103],"candidate":[106],"with":[107],"highest":[109],"ranking":[110],"score":[111],"final":[114],"Our":[116],"experiments":[117],"showed":[118,127],"adequate":[123],"DTATG-generated":[129],"titles":[130],"have":[131],"higher":[132],"F1":[133],"scores":[134],"than":[135],"those":[136],"generated":[137],"by":[138],"previous":[140],"methods.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}