{"id":"https://openalex.org/W3090450025","doi":"https://doi.org/10.3233/faia200510","title":"Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs","display_name":"Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090450025","doi":"https://doi.org/10.3233/faia200510","mag":"3090450025"},"language":"en","primary_location":{"id":"doi:10.3233/faia200510","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200510","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia200510","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089500939","display_name":"Mirko Lenz","orcid":"https://orcid.org/0000-0002-7720-0436"},"institutions":[{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lenz Mirko","raw_affiliation_strings":["Universit\u00e4t Trier, Trier, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Trier, Trier, Germany","institution_ids":["https://openalex.org/I89864525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013546932","display_name":"Premtim Sahitaj","orcid":"https://orcid.org/0000-0003-3908-5681"},"institutions":[{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sahitaj Premtim","raw_affiliation_strings":["Universit\u00e4t Trier, Trier, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Trier, Trier, Germany","institution_ids":["https://openalex.org/I89864525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045284808","display_name":"Sean Kallenberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kallenberg Sean","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073581452","display_name":"Christopher Coors","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Coors Christopher","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043853973","display_name":"Lorik Dumani","orcid":"https://orcid.org/0000-0001-9567-1699"},"institutions":[{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dumani Lorik","raw_affiliation_strings":["Universit\u00e4t Trier, Trier, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Trier, Trier, Germany","institution_ids":["https://openalex.org/I89864525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049745760","display_name":"Ralf Schenkel","orcid":"https://orcid.org/0000-0001-5379-5191"},"institutions":[{"id":"https://openalex.org/I89864525","display_name":"Universit\u00e4t Trier","ror":"https://ror.org/02778hg05","country_code":"DE","type":"education","lineage":["https://openalex.org/I89864525"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Schenkel Ralf","raw_affiliation_strings":["Universit\u00e4t Trier, Trier, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Trier, Trier, Germany","institution_ids":["https://openalex.org/I89864525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066248157","display_name":"Ralph Bergmann","orcid":"https://orcid.org/0000-0002-5515-7158"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bergmann Ralph","raw_affiliation_strings":["German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5089500939"],"corresponding_institution_ids":["https://openalex.org/I89864525"],"apc_list":null,"apc_paid":null,"fwci":0.5221,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67871419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9955000281333923,"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":0.992900013923645,"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/argument","display_name":"Argument (complex analysis)","score":0.8756049871444702},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5669806003570557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5083536505699158},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.41328752040863037},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32236534357070923},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.24981239438056946},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15003344416618347},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07755574584007263}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.8756049871444702},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5669806003570557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083536505699158},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.41328752040863037},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32236534357070923},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.24981239438056946},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15003344416618347},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07755574584007263},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200510","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200510","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200510","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200510","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W329130461","https://openalex.org/W1540371141","https://openalex.org/W1647671624","https://openalex.org/W2112178080","https://openalex.org/W2114739726","https://openalex.org/W2200750309","https://openalex.org/W2250309026","https://openalex.org/W2251314334","https://openalex.org/W2251647857","https://openalex.org/W2266769560","https://openalex.org/W2295598076","https://openalex.org/W2343649478","https://openalex.org/W2520457279","https://openalex.org/W2573551278","https://openalex.org/W2577700560","https://openalex.org/W2586509828","https://openalex.org/W2741686183","https://openalex.org/W2757513300","https://openalex.org/W2789064996","https://openalex.org/W2842153692","https://openalex.org/W2855214964","https://openalex.org/W2890924154","https://openalex.org/W2893459986","https://openalex.org/W2949061542","https://openalex.org/W2970835778","https://openalex.org/W3134554163","https://openalex.org/W4214732674"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3008380943","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2115206405","https://openalex.org/W3022300629"],"abstract_inverted_index":{"This":[0],"paper":[1],"targets":[2],"the":[3,65,76],"automated":[4],"extraction":[5],"of":[6,8,23,90],"components":[7],"argumentative":[9,28,92],"information":[10],"and":[11,51],"their":[12],"relations":[13],"from":[14,30],"natural":[15,32],"language":[16,33,53],"text.Moreover,":[17],"we":[18],"address":[19],"a":[20,44],"current":[21],"lack":[22],"systems":[24],"to":[25,55,83],"provide":[26],"complete":[27],"structure":[29],"arbitrary":[31],"text":[34],"for":[35,48,63],"general":[36],"usage.We":[37],"present":[38],"an":[39,91],"argument":[40,57,71,78],"mining":[41],"pipeline":[42,94],"as":[43],"universally":[45],"applicable":[46],"approach":[47],"transforming":[49],"German":[50],"English":[52],"texts":[54],"graph-based":[56],"representations.We":[58],"also":[59],"introduce":[60],"new":[61,85],"methods":[62],"evaluating":[64],"results":[66,73],"based":[67],"on":[68,99],"existing":[69],"benchmark":[70],"structures.Our":[72],"show":[74],"that":[75],"generated":[77],"graphs":[79],"can":[80],"be":[81],"beneficial":[82],"detect":[84],"connections":[86],"between":[87],"different":[88],"statements":[89],"text.Our":[93],"implementation":[95],"is":[96],"publicly":[97],"available":[98],"GitHub.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2020-10-08T00:00:00"}
