{"id":"https://openalex.org/W2948663292","doi":"https://doi.org/10.18653/v1/p19-1204","title":"TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks","display_name":"TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948663292","doi":"https://doi.org/10.18653/v1/p19-1204","mag":"2948663292"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1204","pdf_url":"https://www.aclweb.org/anthology/P19-1204.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1204.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078374737","display_name":"Guy Lev","orcid":"https://orcid.org/0009-0002-7701-8834"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Guy Lev","raw_affiliation_strings":["IBM Research, Haifa, Israel","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051536706","display_name":"Michal Shmueli-Scheuer","orcid":"https://orcid.org/0000-0002-6386-8726"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michal Shmueli-Scheuer","raw_affiliation_strings":["IBM Research, Haifa, Israel","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071893787","display_name":"Jonathan Herzig","orcid":"https://orcid.org/0009-0000-7227-6557"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jonathan Herzig","raw_affiliation_strings":["IBM Research, Haifa, Israel","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053133315","display_name":"Achiya Jerbi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Achiya Jerbi","raw_affiliation_strings":["IBM Research, Haifa, Israel","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083688475","display_name":"David Konopnicki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Konopnicki","raw_affiliation_strings":["IBM Research, Haifa, Israel","IBM"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]},{"raw_affiliation_string":"IBM","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078374737"],"corresponding_institution_ids":["https://openalex.org/I4210167297"],"apc_list":null,"apc_paid":null,"fwci":1.0116,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82508292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2125","last_page":"2131"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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":0.9977999925613403,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9732929468154907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989282011985779},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6765866875648499},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.657548725605011},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6174977421760559},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6005237698554993},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48868611454963684},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3580285906791687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3286929428577423},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.05582815408706665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05084457993507385}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9732929468154907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989282011985779},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6765866875648499},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.657548725605011},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6174977421760559},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6005237698554993},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48868611454963684},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3580285906791687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3286929428577423},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.05582815408706665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05084457993507385},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p19-1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1204","pdf_url":"https://www.aclweb.org/anthology/P19-1204.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.01351","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.01351","pdf_url":"https://arxiv.org/pdf/1906.01351","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2948663292","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.01351.pdf","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.01351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.01351","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1204","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1204","pdf_url":"https://www.aclweb.org/anthology/P19-1204.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948663292.pdf","grobid_xml":"https://content.openalex.org/works/W2948663292.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W262578090","https://openalex.org/W1566289585","https://openalex.org/W1966421434","https://openalex.org/W2148119091","https://openalex.org/W2152397572","https://openalex.org/W2157979304","https://openalex.org/W2250539671","https://openalex.org/W2250852467","https://openalex.org/W2307381258","https://openalex.org/W2571932860","https://openalex.org/W2606974598","https://openalex.org/W2916130807","https://openalex.org/W2962899377","https://openalex.org/W2962985882","https://openalex.org/W2963746755","https://openalex.org/W2964040984","https://openalex.org/W2972111982","https://openalex.org/W2990953521","https://openalex.org/W3102538306"],"related_works":["https://openalex.org/W2950620609","https://openalex.org/W2972111982","https://openalex.org/W3176503701","https://openalex.org/W55108815","https://openalex.org/W2161145578","https://openalex.org/W3212150810","https://openalex.org/W2251706557","https://openalex.org/W2536435413","https://openalex.org/W3011228735","https://openalex.org/W3206546207","https://openalex.org/W1603457152","https://openalex.org/W3212062532","https://openalex.org/W3013903100","https://openalex.org/W2990953521","https://openalex.org/W2173487081","https://openalex.org/W3173982102","https://openalex.org/W3028622825","https://openalex.org/W3155212713","https://openalex.org/W3097602436","https://openalex.org/W2403605662"],"abstract_inverted_index":{"Currently,":[0],"no":[1],"large-scale":[2],"training":[3],"data":[4],"is":[5],"available":[6],"for":[7,26,57],"the":[8,49,55,98],"task":[9],"of":[10,32,48,72,90,100],"scientific":[11,27,35],"paper":[12,73],"summarization.":[13],"In":[14,94],"this":[15,79],"paper,":[16],"we":[17,96],"propose":[18],"a":[19,43,70,88],"novel":[20],"method":[21],"that":[22,39],"automatically":[23],"generates":[24],"summaries":[25,91,102],"papers,":[28],"by":[29,103],"utilizing":[30],"videos":[31],"talks":[33,41],"at":[34],"conferences.":[36],"We":[37,60],"hypothesize":[38],"such":[40],"constitute":[42],"coherent":[44],"and":[45,52,64,68],"concise":[46],"description":[47],"papers'":[50],"content,":[51],"can":[53],"form":[54],"basis":[56],"good":[58],"summaries.":[59,74],"collected":[61],"1716":[62],"papers":[63],"their":[65],"corresponding":[66],"videos,":[67],"created":[69,92],"dataset":[71,80,89],"A":[75],"model":[76],"trained":[77,86],"on":[78,87],"achieves":[81],"similar":[82],"performance":[83],"as":[84],"models":[85],"manually.":[93],"addition,":[95],"validated":[97],"quality":[99],"our":[101],"human":[104],"experts.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}