{"id":"https://openalex.org/W7212412586","doi":"https://doi.org/10.18653/2026.findings-emnlp.102","title":"Topological Ordering for Explicit Global Structural Reasoning in Argument Relation Identification","display_name":"Topological Ordering for Explicit Global Structural Reasoning in Argument Relation Identification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7212412586","doi":"https://doi.org/10.18653/2026.findings-emnlp.102"},"language":"en","primary_location":{"id":"doi:10.18653/2026.findings-emnlp.102","doi":"https://doi.org/10.18653/2026.findings-emnlp.102","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.102","pdf_url":"https://aclanthology.org/2026.findings-emnlp.102.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.findings-emnlp.102.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5151519718","display_name":"Zhiqiang Shi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhiqiang Shi","raw_affiliation_strings":["Department of Informatics King's College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics King's College London","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034045968","display_name":"Oana Cocarascu","orcid":"https://orcid.org/0000-0003-1552-8636","observed_orcids":["https://orcid.org/0000-0003-1552-8636"]},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Oana Cocarascu","raw_affiliation_strings":["Department of Informatics King's College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics King's College London","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72591687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2099","last_page":"2112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12119","display_name":"Linguistics and Discourse Analysis","score":0.3953000009059906,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12119","display_name":"Linguistics and Discourse Analysis","score":0.3953000009059906,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.23250000178813934,"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":0.15600000321865082,"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/topological-sorting","display_name":"topological sorting","score":0.9480000138282776},{"id":"https://openalex.org/keywords/argument-structure","display_name":"argument structure","score":0.5960000157356262},{"id":"https://openalex.org/keywords/argument-graphs","display_name":"argument graphs","score":0.7979999780654907},{"id":"https://openalex.org/keywords/reasoning-traces","display_name":"reasoning traces","score":0.671999990940094},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.7950000166893005},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.6970000267028809},{"id":"https://openalex.org/keywords/discourse-structure","display_name":"discourse structure","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6370000243186951},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5120999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4259999990463257},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3610999882221222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C81332173","wikidata":"https://www.wikidata.org/wiki/Q179899","display_name":"Topological space","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C2777686260","wikidata":"https://www.wikidata.org/wiki/Q144037","display_name":"Calculus (dental)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/2026.findings-emnlp.102","doi":"https://doi.org/10.18653/2026.findings-emnlp.102","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.102","pdf_url":"https://aclanthology.org/2026.findings-emnlp.102.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/e078a413-5a02-440e-8673-e14ea918233f","doi":null,"is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/e078a413-5a02-440e-8673-e14ea918233f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shi, Z & Cocarascu, O 2026, Topological Ordering for Explicit Global Structural Reasoning in Argument Relation Identification. in Findings of the Association for Computational Linguistics: EMNLP 2026.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.18653/2026.findings-emnlp.102","doi":"https://doi.org/10.18653/2026.findings-emnlp.102","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.102","pdf_url":"https://aclanthology.org/2026.findings-emnlp.102.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7212412586.pdf","grobid_xml":"https://content.openalex.org/works/W7212412586.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7009929821","https://openalex.org/W2590430996","https://openalex.org/W204962367","https://openalex.org/W1504656004","https://openalex.org/W6925346495","https://openalex.org/W2575879205","https://openalex.org/W7100779927","https://openalex.org/W7212107326","https://openalex.org/W1574734141","https://openalex.org/W6911995859"],"abstract_inverted_index":{"Argument":[0],"relation":[1],"identification":[2],"(ARI)":[3],"aims":[4],"to":[5,31,37,104],"recover":[6],"the":[7,78],"directed":[8],"structure":[9],"of":[10],"argumentative":[11],"discourse,":[12],"yet":[13],"most":[14],"approaches,":[15],"including":[16],"recent":[17],"large":[18],"language":[19],"models,":[20],"treat":[21],"relations":[22],"as":[23,44,54],"local":[24],"decisions":[25],"and":[26,50,68,74,94],"rely":[27],"on":[28],"implicit":[29],"reasoning":[30,48,85],"enforce":[32],"global":[33,46,69],"coherence.This":[34],"often":[35],"leads":[36],"structurally":[38],"inconsistent":[39],"argument":[40,98],"graphs.We":[41],"reframe":[42],"ARI":[43,64],"a":[45],"structural":[47,70],"problem":[49],"introduce":[51],"topological":[52,80],"ordering":[53],"an":[55,101],"explicit":[56],"prediction":[57],"target.Extensive":[58],"experiments":[59],"show":[60],"consistent":[61,90],"improvements":[62],"in":[63],"performance,":[65],"edge-level":[66],"accuracy,":[67],"fidelity":[71],"across":[72],"models":[73],"learning":[75],"paradigms.In":[76],"addition,":[77],"predicted":[79],"orders":[81],"provide":[82],"faithful,":[83],"verifiable":[84],"traces":[86],"that":[87],"are":[88],"internally":[89],"with":[91,96],"model":[92],"predictions":[93],"aligned":[95],"gold":[97],"structure,":[99],"offering":[100],"interpretable":[102],"alternative":[103],"free-form":[105],"chain-of-thought":[106],"explanations.1":[107]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-13T00:00:00"}