{"id":"https://openalex.org/W1968776705","doi":"https://doi.org/10.1145/1165485.1165498","title":"Automatic legal text summarisation","display_name":"Automatic legal text summarisation","publication_year":2005,"publication_date":"2005-06-06","ids":{"openalex":"https://openalex.org/W1968776705","doi":"https://doi.org/10.1145/1165485.1165498","mag":"1968776705"},"language":"en","primary_location":{"id":"doi:10.1145/1165485.1165498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1165485.1165498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Artificial intelligence and law","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088816085","display_name":"Ben Hachey","orcid":"https://orcid.org/0000-0001-7237-2127"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ben Hachey","raw_affiliation_strings":["University of Edinburgh, Edinburgh, UK","University of Edinburgh, Edinburgh , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, Edinburgh , UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108653041","display_name":"Claire Grover","orcid":"https://orcid.org/0000-0001-7019-1250"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Claire Grover","raw_affiliation_strings":["University of Edinburgh, Edinburgh, UK","University of Edinburgh, Edinburgh , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, Edinburgh , UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9972000122070312,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9972000122070312,"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9968000054359436,"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/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"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":0.8066766262054443},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7221946120262146},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6982336044311523},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.6969357132911682},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.6923253536224365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6721124649047852},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.6338791847229004},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6142764687538147},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5654163956642151},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5135841369628906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5089459419250488},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4819607436656952},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47044649720191956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3322262167930603},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15643447637557983},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15143224596977234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066766262054443},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7221946120262146},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6982336044311523},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.6969357132911682},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.6923253536224365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721124649047852},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.6338791847229004},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6142764687538147},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5654163956642151},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5135841369628906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5089459419250488},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4819607436656952},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47044649720191956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3322262167930603},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15643447637557983},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15143224596977234},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1165485.1165498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1165485.1165498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Artificial intelligence and law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1585743408","https://openalex.org/W1912123407","https://openalex.org/W1996333538","https://openalex.org/W2001212975","https://openalex.org/W2028473264","https://openalex.org/W2031921586","https://openalex.org/W2038110262","https://openalex.org/W2066972299","https://openalex.org/W2101390659","https://openalex.org/W2102667697","https://openalex.org/W2109923210","https://openalex.org/W2134075686","https://openalex.org/W2166052814","https://openalex.org/W2442495973","https://openalex.org/W2531563875","https://openalex.org/W2595501579","https://openalex.org/W2597504165","https://openalex.org/W2801768445","https://openalex.org/W3035219831","https://openalex.org/W4210834152","https://openalex.org/W6779024958"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W1470425429","https://openalex.org/W159132833","https://openalex.org/W3107602296","https://openalex.org/W3014815208","https://openalex.org/W4306742369","https://openalex.org/W4313444831","https://openalex.org/W4327531511","https://openalex.org/W4327831767","https://openalex.org/W3159083082"],"abstract_inverted_index":{"We":[0,38,59],"describe":[1],"a":[2,21,28,57,75],"set":[3],"of":[4,13,20,30,32,36,56,69,86],"experiments":[5],"using":[6],"machine":[7],"learning":[8],"techniques":[9],"for":[10,24,42,52,77],"the":[11,33,54,64,67],"task":[12],"extractive":[14],"summarisation.":[15],"The":[16],"research":[17],"is":[18],"part":[19],"summarisation":[22],"project":[23],"which":[25,73],"we":[26,49],"use":[27],"corpus":[29],"judgments":[31],"UK":[34],"House":[35],"Lords.":[37],"present":[39,60],"classification":[40],"results":[41],"na\u00efve":[43],"Bayes":[44],"and":[45,48,80],"maximum":[46],"entropy":[47],"explore":[50],"methods":[51],"scoring":[53],"summary-worthiness":[55],"sentence.":[58],"sample":[61],"output":[62],"from":[63],"system,":[65],"illustrating":[66],"utility":[68],"rhetorical":[70],"status":[71],"information,":[72],"provides":[74],"means":[76],"structuring":[78],"summaries":[79],"tailoring":[81],"them":[82],"to":[83],"different":[84],"types":[85],"users.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
