{"id":"https://openalex.org/W4402671007","doi":"https://doi.org/10.18653/v1/2024.argmining-1.17","title":"Twente-BMS-NLP at PerspectiveArg 2024: Combining Bi-Encoder and Cross-Encoder for Argument Retrieval","display_name":"Twente-BMS-NLP at PerspectiveArg 2024: Combining Bi-Encoder and Cross-Encoder for Argument Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402671007","doi":"https://doi.org/10.18653/v1/2024.argmining-1.17"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.argmining-1.17","doi":"https://doi.org/10.18653/v1/2024.argmining-1.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.17","pdf_url":"https://aclanthology.org/2024.argmining-1.17.pdf","source":{"id":"https://openalex.org/S7407087553","display_name":"Workshop on Argument Mining (ArgMining)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2024.argmining-1.17.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033102791","display_name":"Leixin Zhang","orcid":"https://orcid.org/0000-0002-9167-2966","observed_orcids":["https://orcid.org/0000-0002-9167-2966"]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Leixin Zhang","raw_affiliation_strings":["University of Twente"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036520551","display_name":"Daniel Braun","orcid":"https://orcid.org/0000-0001-8120-3368","observed_orcids":["https://orcid.org/0000-0001-8120-3368"]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Daniel Braun","raw_affiliation_strings":["University of Twente"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":1.9039,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8775323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6973000168800354,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6973000168800354,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.2632000148296356,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.014700000174343586,"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-retrieval","display_name":"argument retrieval","score":0.8870000243186951},{"id":"https://openalex.org/keywords/political-argumentation","display_name":"political argumentation","score":0.7210000157356262},{"id":"https://openalex.org/keywords/bi-encoder","display_name":"bi-encoder","score":0.7279999852180481},{"id":"https://openalex.org/keywords/cross-encoder","display_name":"cross-encoder","score":0.9990000128746033},{"id":"https://openalex.org/keywords/linguistic-features","display_name":"linguistic features","score":0.6869999766349792}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.8261786699295044},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7282660007476807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847041845321655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5470255017280579},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4909720718860626},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.033960819244384766},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2024.argmining-1.17","doi":"https://doi.org/10.18653/v1/2024.argmining-1.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.17","pdf_url":"https://aclanthology.org/2024.argmining-1.17.pdf","source":{"id":"https://openalex.org/S7407087553","display_name":"Workshop on Argument Mining (ArgMining)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/c322a77b-ec50-45a1-92f9-7d1046da5ecc","doi":null,"is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/c322a77b-ec50-45a1-92f9-7d1046da5ecc","pdf_url":"https://ris.utwente.nl/ws/files/458494360/2024.argmining-1.17.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang, L & Braun, D 2024, Twente-BMS-NLP at PerspectiveArg 2024: Combining Bi-Encoder and Cross-Encoder for Argument Retrieval. in Y Ajjour, R Bar-Haim, R El Baff, Z Liu & G Skitalinskaya (eds), Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024). Association for Computational Linguistics (ACL), Bangkok, Thailand, pp. 164-168, 11th Workshop on Argument Mining, ArgMining 2024, Bangkok, Thailand, 15/08/24. https://doi.org/10.18653/v1/2024.argmining-1.17","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.argmining-1.17","doi":"https://doi.org/10.18653/v1/2024.argmining-1.17","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.argmining-1.17","pdf_url":"https://aclanthology.org/2024.argmining-1.17.pdf","source":{"id":"https://openalex.org/S7407087553","display_name":"Workshop on Argument Mining (ArgMining)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402671007.pdf","grobid_xml":"https://content.openalex.org/works/W4402671007.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4402671429","https://openalex.org/W4402671383","https://openalex.org/W4402671445","https://openalex.org/W4402684057","https://openalex.org/W4402671419","https://openalex.org/W4402671275","https://openalex.org/W6991010144","https://openalex.org/W7166860093","https://openalex.org/W3005919361","https://openalex.org/W3095796157"],"abstract_inverted_index":{"The":[0],"paper":[1],"describes":[2],"our":[3],"system":[4,97],"for":[5,63],"the":[6,47,66,81,89,105],"Perspective":[7],"Argument":[8],"Retrieval":[9],"Shared":[10],"Task.The":[11],"shared":[12,106],"task":[13,84],"consists":[14],"of":[15,91,104],"three":[16],"scenarios":[17],"in":[18,40],"which":[19],"relevant":[20,61],"political":[21],"arguments":[22,48,62],"have":[23,49],"to":[24,50,59,73,88],"be":[25,51],"retrieved":[26],"based":[27],"on":[28],"queries":[29],"(Scenario":[30],"1).In":[31],"Scenario":[32,41],"2":[33],"explicit":[34],"socio-cultural":[35,44],"properties":[36,45],"are":[37],"provided":[38],"and":[39,56,94,102],"3":[42],"implicit":[43],"within":[46],"used.We":[52],"combined":[53],"a":[54,57,78],"Bi-Encoder":[55],"Cross-Encoder":[58],"retrieve":[60],"each":[64],"query.For":[65],"third":[67],"scenario,":[68],"we":[69],"extracted":[70],"linguistic":[71],"features":[72],"predict":[74],"socio-demographic":[75,82],"labels":[76],"as":[77],"separate":[79],"task.However,":[80],"match":[83],"proved":[85],"challenging":[86],"due":[87],"constraints":[90],"argument":[92],"lengths":[93],"genres.The":[95],"described":[96],"won":[98],"both":[99],"tracks":[100],"(relevance":[101],"diversity)":[103],"task.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2024-09-21T00:00:00"}
