{"id":"https://openalex.org/W4394775160","doi":"https://doi.org/10.48550/arxiv.2404.06670","title":"What's Mine becomes Yours: Defining, Annotating and Detecting\n Context-Dependent Paraphrases in News Interview Dialogs","display_name":"What's Mine becomes Yours: Defining, Annotating and Detecting\n Context-Dependent Paraphrases in News Interview Dialogs","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394775160","doi":"https://doi.org/10.48550/arxiv.2404.06670"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.06670","pdf_url":"http://arxiv.org/pdf/2404.06670","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2404.06670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054699311","display_name":"Anna Wegmann","orcid":"https://orcid.org/0000-0002-6624-103X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wegmann, Anna","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080024971","display_name":"Tijs van den Broek","orcid":"https://orcid.org/0000-0002-8686-7312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Broek, Tijs van den","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004209770","display_name":"Dong Nguyen","orcid":"https://orcid.org/0000-0002-6062-3117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Dong","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9991,"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":0.9991,"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":0.9985,"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/T12151","display_name":"Interpreting and Communication in Healthcare","score":0.9919,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/paraphrase","display_name":"Paraphrase","score":0.9525225},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.823419}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9525225},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.8562336},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.823419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660109},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6653795},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.66296333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593153},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20811278},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.05889538},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.06670","pdf_url":"http://arxiv.org/pdf/2404.06670","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.06670","pdf_url":"http://arxiv.org/pdf/2404.06670","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4378713476","https://openalex.org/W2978707643","https://openalex.org/W2736149021","https://openalex.org/W2294233724","https://openalex.org/W2169813772","https://openalex.org/W2107559347","https://openalex.org/W2097043665","https://openalex.org/W2063157598","https://openalex.org/W2013809956","https://openalex.org/W2007563177"],"abstract_inverted_index":{"Best":[0],"practices":[1],"for":[2,80,101,131],"high":[3],"conflict":[4],"conversations":[5],"like":[6],"counseling":[7],"or":[8],"customer":[9],"support":[10],"almost":[11],"always":[12],"include":[13],"recommendations":[14],"to":[15,44,82],"paraphrase":[16,21,133],"the":[17,110],"previous":[18],"speaker.":[19],"Although":[20],"classification":[22,129],"has":[23],"received":[24],"widespread":[25],"attention":[26],"in":[27,53,85,135],"NLP,":[28],"paraphrases":[29,52,84],"are":[30,41],"usually":[31],"considered":[32],"independent":[33],"from":[34,94],"context,":[35],"and":[36,39,76,96,126],"common":[37],"models":[38,130],"datasets":[40],"not":[42],"applicable":[43],"dialog":[45,54],"settings.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"investigate":[51],"(e.g.,":[55],"Speaker":[56,63],"1:":[57],"\"That":[58,65],"book":[59,66],"is":[60,67],"mine.\"":[61],"becomes":[62],"2:":[64],"yours.\").":[68],"We":[69,87,119],"provide":[70],"an":[71],"operationalization":[72],"of":[73],"context-dependent":[74,102],"paraphrases,":[75],"develop":[77],"a":[78,89],"training":[79],"crowd-workers":[81],"classify":[83],"dialog.":[86,136],"introduce":[88],"dataset":[90,111],"with":[91,123,127],"utterance":[92,117],"pairs":[93],"NPR":[95],"CNN":[97],"news":[98],"interviews":[99],"annotated":[100],"paraphrases.":[103],"To":[104],"enable":[105],"analyses":[106],"on":[107,115],"label":[108],"variation,":[109],"contains":[112],"5,581":[113],"annotations":[114],"600":[116],"pairs.":[118],"present":[120],"promising":[121],"results":[122],"in-context":[124],"learning":[125],"token":[128],"automatic":[132],"detection":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4394775160","counts_by_year":[],"updated_date":"2024-12-12T03:07:40.600008","created_date":"2024-04-13"}