{"id":"https://openalex.org/W4402671428","doi":"https://doi.org/10.18653/v1/2024.argmining-1.12","title":"Pungene at DialAM-2024: Identification of Propositional and Illocutionary Relations","display_name":"Pungene at DialAM-2024: Identification of Propositional and Illocutionary Relations","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402671428","doi":"https://doi.org/10.18653/v1/2024.argmining-1.12"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.argmining-1.12","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.argmining-1.12","pdf_url":"https://aclanthology.org/2024.argmining-1.12.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.argmining-1.12.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107420245","display_name":"Sirawut Chaixanien","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sirawut Chaixanien","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110171801","display_name":"Eugene Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Choi","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010323203","display_name":"Shaden Shaar","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaden Shaar","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094722707","display_name":"Claire Cardie","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Cardie","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.1542000025510788,"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":0.1542000025510788,"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/identification","display_name":"Identification (biology)","score":0.7013602256774902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5802275538444519},{"id":"https://openalex.org/keywords/propositional-variable","display_name":"Propositional variable","score":0.48622623085975647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4231381416320801},{"id":"https://openalex.org/keywords/propositional-calculus","display_name":"Propositional calculus","score":0.4221761226654053},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3775787949562073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34817662835121155},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3023774027824402},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.2009274959564209},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.08399385213851929},{"id":"https://openalex.org/keywords/intermediate-logic","display_name":"Intermediate logic","score":0.04918178915977478}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7013602256774902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802275538444519},{"id":"https://openalex.org/C14523651","wikidata":"https://www.wikidata.org/wiki/Q3492863","display_name":"Propositional variable","level":4,"score":0.48622623085975647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4231381416320801},{"id":"https://openalex.org/C69562738","wikidata":"https://www.wikidata.org/wiki/Q200694","display_name":"Propositional calculus","level":2,"score":0.4221761226654053},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3775787949562073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34817662835121155},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3023774027824402},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.2009274959564209},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.08399385213851929},{"id":"https://openalex.org/C33203268","wikidata":"https://www.wikidata.org/wiki/Q5361594","display_name":"Intermediate logic","level":3,"score":0.04918178915977478},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.argmining-1.12","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.argmining-1.12","pdf_url":"https://aclanthology.org/2024.argmining-1.12.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.argmining-1.12","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.argmining-1.12","pdf_url":"https://aclanthology.org/2024.argmining-1.12.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 11th Workshop on Argument Mining (ArgMining 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402671428.pdf","grobid_xml":"https://content.openalex.org/works/W4402671428.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2990043628","https://openalex.org/W1987118140","https://openalex.org/W1512746455","https://openalex.org/W949976107","https://openalex.org/W2788816388","https://openalex.org/W1834198313","https://openalex.org/W2119215098","https://openalex.org/W1535347767","https://openalex.org/W2041191508","https://openalex.org/W1975118984"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"tackle":[4],"the":[5,15,67,70,83],"shared":[6,84],"task":[7,20],"DialAM-2024":[8],"aiming":[9],"to":[10,79],"annotate":[11],"dialogue":[12],"based":[13],"on":[14,90],"inference":[16],"anchoring":[17],"theory":[18],"(IAT).The":[19],"can":[21],"be":[22],"split":[23],"into":[24],"two":[25],"parts,":[26],"identification":[27,32],"of":[28,33,42,93],"propositional":[29,50],"relations":[30,51,56],"and":[31,53,64],"illocutionary":[34,55],"relations.We":[35],"propose":[36],"a":[37],"pipelined":[38],"system":[39,74],"made":[40],"up":[41],"three":[43],"parts:":[44],"(1)":[45],"locutionarypropositions":[46],"relation":[47],"detection,":[48,52],"(2)":[49],"(3)":[54],"identification.We":[57],"fine-tune":[58],"models":[59],"independently":[60],"for":[61,69],"each":[62],"step,":[63],"combine":[65],"at":[66],"end":[68],"final":[71],"system.Our":[72],"proposed":[73],"ranks":[75],"second":[76],"overall":[77],"compared":[78],"other":[80],"participants":[81],"in":[82],"task,":[85],"scoring":[86],"an":[87],"average":[88],"f1-score":[89],"both":[91],"sub-parts":[92],"63.7.":[94]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
