{"id":"https://openalex.org/W658670655","doi":"https://doi.org/10.18653/v1/w13-5009","title":"Automatic Extraction of Reasoning Chains from Textual Reports","display_name":"Automatic Extraction of Reasoning Chains from Textual Reports","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W658670655","doi":"https://doi.org/10.18653/v1/w13-5009","mag":"658670655"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w13-5009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w13-5009","pdf_url":"https://aclanthology.org/W13-5009.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 TextGraphs-8 Graph-based Methods for Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W13-5009.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035694190","display_name":"Gleb Sizov","orcid":null},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Gleb Sizov","raw_affiliation_strings":["Department of Computer Science Norwegian University of Science and Technology Trondheim , Norway","Norwegian University of Science and Technology, Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Norwegian University of Science and Technology Trondheim , Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007883350","display_name":"P\u0131nar \u00d6zt\u00fcrk","orcid":"https://orcid.org/0000-0002-3910-8006"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Pinar \u00d6zt\u00fcrk","raw_affiliation_strings":["Norwegian Univ. of Sci. and Tech"],"affiliations":[{"raw_affiliation_string":"Norwegian Univ. of Sci. and Tech","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035694190"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.02479115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.8055492639541626},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6850653886795044},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5998274087905884},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5949181318283081},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5454727411270142},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5352898836135864},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5017104148864746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49525752663612366},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.47391805052757263},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4661373496055603},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.45876994729042053},{"id":"https://openalex.org/keywords/lawsuit","display_name":"Lawsuit","score":0.4549219012260437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13629260659217834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055492639541626},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6850653886795044},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5998274087905884},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5949181318283081},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5454727411270142},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5352898836135864},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5017104148864746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49525752663612366},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.47391805052757263},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4661373496055603},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.45876994729042053},{"id":"https://openalex.org/C2777134139","wikidata":"https://www.wikidata.org/wiki/Q697327","display_name":"Lawsuit","level":2,"score":0.4549219012260437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13629260659217834},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w13-5009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w13-5009","pdf_url":"https://aclanthology.org/W13-5009.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 TextGraphs-8 Graph-based Methods for Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.1845","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.1845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W13/W13-5009.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/w13-5009","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w13-5009","pdf_url":"https://aclanthology.org/W13-5009.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 TextGraphs-8 Graph-based Methods for Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W658670655.pdf","grobid_xml":"https://content.openalex.org/works/W658670655.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W83446654","https://openalex.org/W1493542677","https://openalex.org/W1517412291","https://openalex.org/W1555805532","https://openalex.org/W1581881938","https://openalex.org/W1820569523","https://openalex.org/W2038222743","https://openalex.org/W2045738181","https://openalex.org/W2062597063","https://openalex.org/W2064404320","https://openalex.org/W2097606805","https://openalex.org/W2109485526","https://openalex.org/W2162475884","https://openalex.org/W2166957049","https://openalex.org/W2222512263","https://openalex.org/W2426119782","https://openalex.org/W2952101563","https://openalex.org/W3141851185"],"related_works":["https://openalex.org/W2363627120","https://openalex.org/W4383535523","https://openalex.org/W3006227201","https://openalex.org/W2329000834","https://openalex.org/W4402671441","https://openalex.org/W3080107865","https://openalex.org/W2165504147","https://openalex.org/W2145792724","https://openalex.org/W2127778125","https://openalex.org/W1539943423"],"abstract_inverted_index":{"Many":[0],"organizations":[1],"possess":[2],"large":[3],"collections":[4],"of":[5,29,40,52,62],"textual":[6,84],"reports":[7,35],"that":[8,55,79,114],"document":[9],"how":[10],"a":[11,47,63,75,92],"problem":[12,68],"is":[13,88],"solved":[14],"or":[15],"analysed,":[16],"e.g.medical":[17],"patient":[18],"records,":[19],"industrial":[20],"accident":[21],"reports,":[22,108],"lawsuit":[23],"records":[24],"and":[25,101,125],"investigation":[26,107],"reports.Effective":[27],"use":[28],"expert":[30],"knowledge":[31],"contained":[32],"in":[33],"these":[34],"may":[36],"greatly":[37],"increase":[38],"productivity":[39],"the":[41,60,67,81,116,122],"organization.In":[42],"this":[43,71],"article,":[44],"we":[45,73],"propose":[46],"method":[48,110],"for":[49],"automatic":[50],"extraction":[51],"reasoning":[53,112],"chains":[54,113],"contain":[56],"information":[57,120],"used":[58],"by":[59],"author":[61],"report":[64,93],"to":[65,105],"analyse":[66],"at":[69],"hand.For":[70],"purpose,":[72],"developed":[74],"graph-based":[76],"text":[77],"representation":[78,87],"makes":[80],"relations":[82],"between":[83,118],"units":[85],"explicit.This":[86],"acquired":[89],"automatically":[90],"from":[91],"using":[94],"natural":[95],"language":[96],"processing":[97],"tools":[98],"including":[99],"syntactic":[100],"discourse":[102],"parsers.When":[103],"applied":[104],"aviation":[106],"our":[109],"generates":[111],"reveal":[115],"connection":[117],"initial":[119],"about":[121],"aircraft":[123],"incident":[124],"its":[126],"causes.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
