{"id":"https://openalex.org/W2995927014","doi":null,"title":"Unsupervised Induction of Domain Dependency Graphs - Extracting, Understanding and Visualizing Domain Knowledge","display_name":"Unsupervised Induction of Domain Dependency Graphs - Extracting, Understanding and Visualizing Domain Knowledge","publication_year":2019,"publication_date":"2019-12-18","ids":{"openalex":"https://openalex.org/W2995927014","mag":"2995927014"},"language":"en","primary_location":{"id":"mag:2995927014","doi":null,"is_oa":false,"landing_page_url":"https://ediss.sub.uni-hamburg.de/volltexte/2019/10191/pdf/Dissertation.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},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5078137880","display_name":"Sarah N. Kohail","orcid":"https://orcid.org/0009-0006-9715-2001","observed_orcids":["https://orcid.org/0009-0006-9715-2001"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sarah Kohail","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0006-9715-2001","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5078137880"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1002,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44692509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T10028","display_name":"Topic Modeling","score":0.6977999806404114,"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":0.6977999806404114,"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":0.2281000018119812,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.022299999371170998,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-based-text-representation","display_name":"graph-based text representation","score":0.9259999990463257},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.7670000195503235},{"id":"https://openalex.org/keywords/unsupervised-graph-learning","display_name":"unsupervised graph learning","score":0.621999979019165},{"id":"https://openalex.org/keywords/dependence-structure","display_name":"dependence structure","score":0.4429999887943268},{"id":"https://openalex.org/keywords/aspect-based-sentiment-analysis","display_name":"aspect-based sentiment analysis","score":0.8090000152587891},{"id":"https://openalex.org/keywords/aspect-identification","display_name":"aspect identification","score":0.8849999904632568},{"id":"https://openalex.org/keywords/user-generated-reviews","display_name":"user-generated reviews","score":0.8610000014305115},{"id":"https://openalex.org/keywords/semantic-textual-similarity","display_name":"semantic textual similarity","score":0.9330000281333923},{"id":"https://openalex.org/keywords/domain-knowledge-extraction","display_name":"domain knowledge extraction","score":0.4399999976158142},{"id":"https://openalex.org/keywords/text-visualization","display_name":"text visualization","score":0.3580000102519989},{"id":"https://openalex.org/keywords/graph-alignment","display_name":"graph alignment","score":0.35899999737739563},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"distributional semantics","score":0.48100000619888306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773003101348877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5507779717445374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018200874328613},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48303350806236267}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2995927014","doi":null,"is_oa":false,"landing_page_url":"https://ediss.sub.uni-hamburg.de/volltexte/2019/10191/pdf/Dissertation.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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7025061895","https://openalex.org/W3088286051","https://openalex.org/W4252036160","https://openalex.org/W2941120528","https://openalex.org/W2895892112","https://openalex.org/W1549002617","https://openalex.org/W916582996","https://openalex.org/W2057768254","https://openalex.org/W3175035000","https://openalex.org/W81219397"],"abstract_inverted_index":{"The":[0],"unstructured":[1,372],"nature":[2],"of":[3,9,48,56,64,89,100,111,127,148,154,174,181,193,223,259,282,305,327,359,455,468],"text":[4,66,73,86,406,416,442],"documents":[5,36,155],"makes":[6],"the":[7,43,62,98,108,122,166,171,191,214,224,257,260,280,303,325,355,404,440,453,464],"task":[8],"processing":[10],"and":[11,18,40,53,183,197,204,243,253,272,275,294,313,364,423,459,466],"understanding":[12,222],"it":[13,20],"by":[14,87,249,267],"machines":[15],"very":[16],"challenging,":[17],"transforming":[19],"into":[21],"structured":[22],"representation":[23,74],"has":[24],"become":[25],"a":[26,46,79,104,112,118,128,146,175,339,400,413,426],"pressing.":[27],"Classical":[28],"Bag-of-Words-based":[29],"Vector":[30,526],"Space":[31,527],"Model":[32],"(BoW-based":[33,529],"VSM)":[34,530],"represents":[35],"as":[37,45,68,103,117,136,160,299,444,446],"independent":[38],"terms":[39],"only":[41],"considers":[42],"document":[44],"histogram":[47],"word":[49,428,438],"occurrences,":[50],"ignoring":[51],"structural":[52,172,350,448],"semantic":[54,125],"aspects":[55,358],"textual":[57],"contents.":[58],"This":[59],"dissertation":[60],"explores":[61],"utility":[63],"graph-based":[65],"representations":[67],"an":[69,178,217,230,377,393],"alternative":[70],"to":[71,84,106,120,189,219,239,278,319,352,381,398,412,436,462,488],"classical":[72],"models.":[75],"Specifically,":[76],"we":[77,141,227,263],"propose":[78,338],"new":[80],"data-driven":[81],"graph-theoretic":[82],"approach":[83,186,200,397],"representing":[85],"means":[88],"graphs,":[90],"called":[91],"Domain":[92,577],"Dependency":[93,578],"Graphs":[94,579],"(DDGs).":[95],"DDGs":[96,132,248,309,314,389,457,582,610,698,725,740,790],"integrate":[97],"power":[99],"graph":[101,273,408,432,447],"representation,":[102],"way":[105,119],"preserve":[107],"dependency":[109,152,184,401,407,417,431],"structure":[110,126],"text,":[113],"with":[114,170,246],"topic":[115,139,157],"modeling,":[116,140],"uncover":[121],"hidden":[123],"topical":[124],"text.":[129,176],"In":[130,216,690],"summary,":[131],"generation":[133],"process":[134],"goes":[135],"follows:":[137],"using":[138,456],"extract":[142,365],"dominant":[143],"topics":[144],"from":[145,371],"corpus":[147],"documents.":[149],"Then,":[150],"source-side":[151],"structures":[153],"per":[156],"are":[158],"modeled":[159],"one":[161,430],"coherent":[162],"DDG,":[163],"which":[164,236,345],"maintains":[165],"inter-topic":[167],"cohesiveness":[168],"together":[169],"aspect":[173],"Later,":[177],"extra":[179],"level":[180,348],"term":[182],"weighting":[185],"is":[187,201,410],"applied":[188],"ensure":[190],"extraction":[192],"highly":[194],"domain-specific":[195],"words":[196,312],"relations.":[198],"Our":[199],"completely":[202],"unsupervised":[203,341,378],"needs":[205],"no":[206],"labeled":[207],"training":[208],"data":[209],"or":[210],"previous":[211],"knowledge":[212],"about":[213],"domains.":[215],"effort":[218],"provide":[220,376],"further":[221],"extracted":[225],"DDGs,":[226,262],"develop":[228],"DDGviz,":[229],"interactive":[231],"open-source":[232,707],"web-based":[233],"visualization":[234],"tool,":[235],"enables":[237],"users":[238],"filter,":[240],"analyze,":[241],"search":[242],"easily":[244],"interact":[245],"generated":[247,261],"adjusting":[250],"various":[251],"parameters":[252],"configurations.":[254],"\r\nTo":[255],"demonstrate":[256],"effectiveness":[258,304],"perform":[264],"extrinsic":[265],"evaluation":[266],"integrating":[268],"several":[269],"DDGs-based":[270,306,482],"features,":[271,307,322],"mining":[274,343],"alignment":[276,396],"approaches":[277],"improving":[279,324],"performance":[281,326],"relevant":[283],"Natural":[284],"Language":[285],"Processing":[286],"(NLP)":[287],"tasks,":[288],"namely":[289],"Aspect-based":[290,766],"Sentiment":[291,767],"Analysis":[292,768],"(ABSA)":[293,769],"Semantic":[295,771],"Textual":[296,772],"Similarity":[297,773],"(STS),":[298,774],"follows:\r\n\r\n(1)":[300],"We":[301,336,375,391,450],"explore":[302],"like":[308],"top":[310],"domain":[311],"identified":[315],"aspects,":[316],"in":[317,403,429,439,495,514,604,908,925],"addition":[318],"distributional":[320],"semantics":[321],"for":[323,330,420,476],"supervised":[328,470],"models":[329],"different":[331,360,473,477],"aspect-based":[332],"sentiment":[333],"analysis":[334],"subtasks.":[335],"also":[337,451],"novel":[340],"graph-rule":[342],"approach,":[344],"incorporates":[346],"high":[347],"linguistic":[349],"information":[351],"accurately":[353],"identify":[354],"most":[356],"compelling":[357],"entities":[361],"(aspect":[362],"identification)":[363],"opinion":[366],"related":[367],"expressions":[368],"(OTE-sentiment":[369,842],"extraction)":[370],"user-generated":[373],"reviews.\r\n\r\n(2)":[374],"STS":[379,469,854,948],"solution":[380],"finding":[382],"similarities":[383],"between":[384],"two":[385],"texts":[386],"based":[387],"on":[388,472],"alignment.":[390],"introduce":[392],"approximate":[394],"sub-graph":[395,402],"find":[399],"candidate":[405],"that":[409,480],"similar":[411],"given":[414],"query":[415,441],"graph,":[418,443],"allowing":[419],"node":[421],"gaps":[422],"mismatches,":[424],"where":[425],"certain":[427],"cannot":[433],"be":[434],"mapped":[435],"any":[437],"well":[445],"differences.":[449],"examine":[452],"impact":[454],"similarity-based":[458],"coverage-based":[460],"features":[461,483],"improve":[463],"identification":[465],"prediction":[467],"models.\r\n\r\nExperiments":[471],"benchmark":[474],"datasets":[475],"subtasks":[478],"revealed":[479],"incorporating":[481],"show":[484],"superior":[485],"results":[486],"compared":[487],"state-of-the-art":[489],"approaches.":[490],"\nDie":[491],"Abwesenheit":[492],"von":[493,512,537,552,609,617,667,723,728,748,784,789,805,858,874,899,935,946,960],"Struktur":[494],"Texten":[496,605,862],"fuhrt":[497],"bei":[498,761,903],"der":[499,586,592,631,645,736,738,798,803,811,831,933,942],"Verarbeitung":[500],"und":[501,509,541,661,671,679,721,731,755,770,793,901,937,944],"beim":[502],"Verstehen":[503],"durch":[504,572,726],"Maschinen":[505],"zu":[506,558,699,777,796,884,888,963,968,969],"besonderen":[507],"Herausforderungen":[508],"die":[510,539,584,665,688,696,759,782,788,958],"Transformation":[511],"Text":[513],"eine":[515,556,714,743,852],"strukturierte":[516],"Reprasentation":[517],"verlangt":[518],"dringend":[519],"nach":[520],"einer":[521,654],"Losung.":[522],"Klassische":[523],"auf":[524,653,864,912,950],"Bag-of-Words-basierende":[525],"Modelle":[528],"betrachten":[531],"ein":[532,657,706,818,869,905,913],"Dokument":[533],"lediglich":[534],"als":[535,555,588,599,636,922],"Histogramm":[536],"Worthaufigkeiten,was":[538],"strukturellen":[540,646],"semantischen":[542],"Eigenschaften":[543],"des":[544,648,882,917],"Textinhalts":[545],"ignoriert.":[546],"Diese":[547],"Dissertation":[548],"erforscht":[549],"den":[550,641,926,931],"Nutzen":[551],"graphbasierten":[553],"Textreprasentationen":[554],"Alternative":[557],"klassischen":[559],"Textreprasentationsmodellen.":[560],"Im":[561],"Besonderen":[562],"stellen":[563],"wir":[564,621,702,742],"einen":[565,878],"neuen":[566],"datengetriebenen":[567],"graphentheoretischen":[568],"Ansatz":[569,675],"zur":[570,659,801,828,940],"Textreprasentation":[571],"Graphen":[573,916],"mit":[574,596,644,718],"dem":[575,691],"Namen":[576],"(DDGs)":[580],"vor.":[581,866],"vereinen":[583],"Machtigkeit":[585],"Graphenreprasentation,":[587],"Moglichkeit":[589,600],"zum":[590,856,871],"Erhalt":[591],"Abhangigkeitsstruktur":[593],"eines":[594,625,892],"Texts,":[595],"Topic":[597,618],"Modeling,":[598],"versteckte":[601],"thematische":[602],"Strukturen":[603],"aufzudecken.":[606],"Der":[607],"Generierungsprozess":[608],"kann":[611],"folgendermasen":[612],"zusammengefasst":[613],"werden:":[614],"Unter":[615],"Verwendung":[616,934],"Modeling":[619],"extrahieren":[620],"dominante":[622],"Themen":[623],"innerhalb":[624],"Dokumentenkorpus.":[626],"Dann":[627],"werden":[628,920],"Abhangigkeitsstrukturen":[629],"(Dependenzen)":[630],"Dokumente":[632],"fur":[633,695,953],"jedes":[634],"Thema":[635],"koharenter":[637],"DDG":[638],"modelliert,":[639],"was":[640],"inter-thematischen":[642],"Zusammenhalt":[643],"Komponente":[647],"Texts":[649],"erhalt.":[650],"Spater":[651],"wird":[652],"zusatzlichen":[655],"Ebene":[656],"Vorgehen":[658],"Ausdrucks-":[660],"Abhangigkeitsgewichtung":[662],"angewendet,":[663],"um":[664,758,877],"Extraktion":[666],"hoch":[668],"domanenspezifischen":[669],"Begriffen":[670],"Beziehungen":[672],"sicherzustellen.":[673],"Unser":[674],"ist":[676],"komplett":[677],"unuberwacht":[678],"benotigt":[680],"keine":[681],"gekennzeichneten":[682],"Trainingsdaten":[683],"oder":[684],"vorheriges":[685],"Wissen":[686],"uber":[687],"Domane.":[689],"Bestreben":[692],"weiteres":[693],"Verstandnis":[694],"extrahierten":[697],"schaffen,":[700],"haben":[701],"DDGviz":[703],"entwickelt,":[704],"welches":[705,825],"Web-basiertes":[708],"Visualisierungswerkzeug":[709],"ist,":[710],"das":[711,897],"einem":[712,889,909],"Nutzer":[713],"einfache":[715],"Interaktion":[716],"sowie":[717,752,838],"Filtern,":[719],"Analysieren":[720],"Durchsuchen":[722],"generierten":[724,739],"Anpassung":[727],"verschiedenen":[729,749],"Parametern":[730],"Konfigurationen":[732],"erlaubt.":[733],"\r\n\r\nZur":[734],"Demonstration":[735],"Effektivitat":[737,783],"fuhren":[741,868],"extrinsische":[744],"Evaluation":[745],"unter":[746],"Integration":[747,959],"DDG-basierenden":[750],"Merkmalen,":[751],"Graph":[753],"Mining":[754,822],"Abgleichansatzen":[756],"durch,":[757],"Leistung":[760,804],"relevanten":[762],"sprachtechnologischen":[763],"Aufgaben,":[764],"namentlich":[765],"wie":[775,787],"folgt":[776],"verbessern:":[778],"\r\n\r\n(1)":[779],"Wir":[780,815,850,867,928],"erforschen":[781],"DDG-basierten":[785,961],"Merkmalen":[786,797,962],"identifizierten":[791],"Top-Domanenbegriffe":[792],"Aspekte,":[794],"zusatzlich":[795],"distributionellen":[799],"Semantik":[800],"Verbesserung":[802,941],"uberwachten":[806,947],"Modellen":[807],"verschiedener":[808],"Aspekt-basierter":[809],"Teilaufgaben":[810,955],"Stimmungsanalyse":[812],"(Sentiment":[813],"Analysis).":[814],"schlagen":[816,851],"zudem":[817,930],"neuartiges":[819],"unuberwachtes":[820],"Graph-Rule":[821],"Verfahren":[823,870],"vor,":[824],"linguistische":[826],"Strukturinformation":[827],"genauen":[829],"Identifikation":[830,943],"uberzeugendsten":[832],"Aspekte":[833],"unterschiedlicher":[834],"Entitaten":[835],"(Aspect":[836],"Identification)":[837],"Opinion":[839],"Target":[840],"Expressions":[841],"Extraction)":[843],"aus":[844],"unstrukturierten":[845],"nutzergenerierten":[846],"Rezensionen":[847],"beinhaltet.":[848],"\r\n\r\n(2)":[849],"unuberwachte":[853],"Losung":[855],"Aufspuren":[857],"Ahnlichkeiten":[859],"zwischen":[860],"zwei":[861],"basierend":[863],"DDG-Abgleichen":[865],"approximativen":[872],"Abgleich":[873],"Subgraphen":[875],"ein,":[876],"Abhangigkeitsteilgraph":[879],"im":[880,915,966],"Abhangigkeitsgraphen":[881,891,910],"Kandidatentexts":[883],"finden,":[885],"welcher":[886],"ahnlich":[887],"gegebenen":[890],"Abfragetexts":[893,918],"ist.":[894],"Dies":[895],"erlaubt":[896],"Auftreten":[898],"Knotenlucken":[900],"Nichtubereinstimmungen,":[902],"denen":[904],"bestimmtes":[906],"Wort":[907,914],"nicht":[911],"zugeordnet":[919],"kann,":[921],"auch":[923],"Strukturunterschiede":[924],"Graphen.":[927],"prufen":[929],"Einfluss":[932],"ahnlichkeitsbasierten":[936],"abdeckungsbasierten":[938],"DDGMerkmalen":[939],"Vorhersage":[945],"Modellen.\r\n\r\n\r\nExperimente":[949],"unterschiedlichen":[951],"Benchmark-Datensatzen":[952],"unterschiedliche":[954],"zeigten,":[956],"dass":[957],"besseren":[964],"Ergebnissen":[965],"Vergleich":[967],"aktuellen":[970],"Ansatzen":[971],"fuhrt.":[972]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2019-12-26T00:00:00"}
