{"id":"https://openalex.org/W2048214958","doi":"https://doi.org/10.1145/1568234.1568264","title":"Toward assessing law students' argument diagrams","display_name":"Toward assessing law students' argument diagrams","publication_year":2009,"publication_date":"2009-06-08","ids":{"openalex":"https://openalex.org/W2048214958","doi":"https://doi.org/10.1145/1568234.1568264","mag":"2048214958"},"language":"en","primary_location":{"id":"doi:10.1145/1568234.1568264","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1568234.1568264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015273609","display_name":"Collin Lynch","orcid":"https://orcid.org/0000-0001-6958-9368"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Collin Lynch","raw_affiliation_strings":["Univ of Pittsburgh, Pittsburgh, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Univ of Pittsburgh, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664770","display_name":"Kevin D. Ashley","orcid":"https://orcid.org/0000-0002-5535-0759"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Ashley","raw_affiliation_strings":["Univ of Pittsburgh, Pittsburgh, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Univ of Pittsburgh, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111412660","display_name":"Niels Pinkwart","orcid":null},"institutions":[{"id":"https://openalex.org/I43980791","display_name":"Clausthal University of Technology","ror":"https://ror.org/04qb8nc58","country_code":"DE","type":"education","lineage":["https://openalex.org/I43980791"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niels Pinkwart","raw_affiliation_strings":["Clausthal Univ of Technology, Clausthal, Germany","Clausthal Univ. of Technology, Clausthal, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Clausthal Univ of Technology, Clausthal, Germany","institution_ids":["https://openalex.org/I43980791"]},{"raw_affiliation_string":"Clausthal Univ. of Technology, Clausthal, Germany#TAB#","institution_ids":["https://openalex.org/I43980791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047522207","display_name":"Vincent Aleven","orcid":"https://orcid.org/0000-0002-1581-6657"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Aleven","raw_affiliation_strings":["Carnegie Mellon Univ, Pittsburgh, Pennsylvania","Carnegie Mellon Univ, Pittsburgh, Pennsylvania#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon Univ, Pittsburgh, Pennsylvania#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015273609"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":3.2967,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93162867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"222","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9822999835014343,"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":0.9557999968528748,"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":0.8325601816177368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561571359634399},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6209397315979004},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5914455652236938},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5330900549888611},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4949015974998474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3832794427871704},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3392694294452667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2436547577381134}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.8325601816177368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561571359634399},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6209397315979004},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5914455652236938},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5330900549888611},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4949015974998474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3832794427871704},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3392694294452667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2436547577381134},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1568234.1568264","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1568234.1568264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.7665","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.7665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.pitt.edu/%7Ecollinl/Papers/Lynch-ICAIL-2009.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.3436","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.3436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://cses.informatik.hu-berlin.de/pubs/2009/icail/toward_assessing_law_students_argument_diagrams.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1298046432","display_name":null,"funder_award_id":"IIS-0412830","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1496963768","https://openalex.org/W1573032755","https://openalex.org/W1592198404","https://openalex.org/W1774518086","https://openalex.org/W1977707077","https://openalex.org/W2041139729","https://openalex.org/W2044620560","https://openalex.org/W2053154970","https://openalex.org/W2101814172","https://openalex.org/W2108421826","https://openalex.org/W2109409153","https://openalex.org/W2161254223","https://openalex.org/W2161664509","https://openalex.org/W2164777277","https://openalex.org/W2170521229","https://openalex.org/W4240543108"],"related_works":["https://openalex.org/W2109986081","https://openalex.org/W3008380943","https://openalex.org/W2115206405","https://openalex.org/W2417308975","https://openalex.org/W4387718383","https://openalex.org/W4297589944","https://openalex.org/W1528986568","https://openalex.org/W2500746363","https://openalex.org/W4368755698","https://openalex.org/W2964129930"],"abstract_inverted_index":{"The":[0,19],"development":[1],"of":[2,12,67,73],"graphical":[3],"argument":[4],"models":[5,24,52],"is":[6,21,43,48],"an":[7,64],"active":[8],"and":[9,17,33,37,58],"growing":[10],"area":[11],"research":[13],"in":[14,70],"Artificial":[15],"Intelligence":[16],"Law.":[18],"aim":[20],"to":[22,35,44,50],"develop":[23,51],"which":[25],"may":[26],"be":[27,45],"readily":[28],"used":[29],"by":[30],"legal":[31],"professionals":[32],"novices":[34],"produce":[36],"parse":[38],"arguments.":[39],"If":[40],"this":[41],"goal":[42],"realized":[46],"it":[47],"important":[49],"that":[53],"human":[54],"reasoners":[55],"can":[56],"manipulate":[57],"assess":[59],"consistently.":[60],"We":[61],"report":[62],"on":[63],"ongoing":[65],"study":[66],"graph":[68],"agreement":[69],"the":[71,74],"context":[72],"LARGO":[75],"system.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}