{"id":"https://openalex.org/W1968492481","doi":"https://doi.org/10.1145/1099554.1099635","title":"Learning to summarise XML documents using content and structure","display_name":"Learning to summarise XML documents using content and structure","publication_year":2005,"publication_date":"2005-10-31","ids":{"openalex":"https://openalex.org/W1968492481","doi":"https://doi.org/10.1145/1099554.1099635","mag":"1968492481"},"language":"en","primary_location":{"id":"doi:10.1145/1099554.1099635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099554.1099635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Information and knowledge management","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/A5111528497","display_name":"Massih R. Amini","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Massih R. Amini","raw_affiliation_strings":["University Pierre and Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Pierre and Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032795547","display_name":"Anastasios Tombros","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anastasios Tombros","raw_affiliation_strings":["Queen Mary, University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084360449","display_name":"Nicolas Usunier","orcid":"https://orcid.org/0000-0002-9324-1457"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Usunier","raw_affiliation_strings":["University Pierre and Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Pierre and Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002597222","display_name":"Mounia Lalmas","orcid":"https://orcid.org/0000-0002-3531-3096"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mounia Lalmas","raw_affiliation_strings":["Queen Mary, University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667126","display_name":"Patrick Gallinari","orcid":"https://orcid.org/0000-0003-3360-8269"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Gallinari","raw_affiliation_strings":["University Pierre and Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Pierre and Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9984999895095825,"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":0.8763033151626587},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.7322062253952026},{"id":"https://openalex.org/keywords/markup-language","display_name":"Markup language","score":0.689434289932251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.688607931137085},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6571979522705078},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.593272864818573},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5602133870124817},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5299652218818665},{"id":"https://openalex.org/keywords/document-type-definition","display_name":"Document type definition","score":0.5043920278549194},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.500049352645874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4997291564941406},{"id":"https://openalex.org/keywords/xml-validation","display_name":"XML validation","score":0.46441739797592163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3422616720199585},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3200826048851013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8763033151626587},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.7322062253952026},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.689434289932251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.688607931137085},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6571979522705078},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.593272864818573},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5602133870124817},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5299652218818665},{"id":"https://openalex.org/C84314905","wikidata":"https://www.wikidata.org/wiki/Q212327","display_name":"Document type definition","level":4,"score":0.5043920278549194},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.500049352645874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4997291564941406},{"id":"https://openalex.org/C55348073","wikidata":"https://www.wikidata.org/wiki/Q595926","display_name":"XML validation","level":3,"score":0.46441739797592163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3422616720199585},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3200826048851013},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1099554.1099635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099554.1099635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.222.7513","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.7513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2005/p242-wang.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.331.3185","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.3185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.qmul.ac.uk/~tassos/publications/cikm05.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01416540v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01416540","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CIKM 2005 - 14th ACM international conference on Information and knowledge management, Oct 2005, Bremen, Germany. pp.297-298, &#x27E8;10.1145/1099554.1099635&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W52150908","https://openalex.org/W128584697","https://openalex.org/W1535524350","https://openalex.org/W1553199198","https://openalex.org/W1557410844","https://openalex.org/W1573514622","https://openalex.org/W1597655096","https://openalex.org/W1974339500","https://openalex.org/W1978255832","https://openalex.org/W1979459060","https://openalex.org/W1990053098","https://openalex.org/W1990534247","https://openalex.org/W1996333538","https://openalex.org/W2003885352","https://openalex.org/W2005679862","https://openalex.org/W2024046085","https://openalex.org/W2028009320","https://openalex.org/W2038721957","https://openalex.org/W2043731972","https://openalex.org/W2056727309","https://openalex.org/W2067879405","https://openalex.org/W2071316194","https://openalex.org/W2083905053","https://openalex.org/W2088802729","https://openalex.org/W2097221264","https://openalex.org/W2101390659","https://openalex.org/W2109527084","https://openalex.org/W2120100126","https://openalex.org/W2129957127","https://openalex.org/W2157112198","https://openalex.org/W2163757302","https://openalex.org/W2166347079","https://openalex.org/W2442495973","https://openalex.org/W2620244114","https://openalex.org/W3035219831","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2014142435","https://openalex.org/W2136793911","https://openalex.org/W2352672621","https://openalex.org/W2605223516","https://openalex.org/W2181356758","https://openalex.org/W2374990542","https://openalex.org/W1592776645","https://openalex.org/W1895313402","https://openalex.org/W2129774983","https://openalex.org/W3022924207"],"abstract_inverted_index":{"Documents":[0],"formatted":[1],"in":[2,11,36,129],"eXtensible":[3],"Markup":[4],"Language":[5],"(XML)":[6],"are":[7,70],"becoming":[8],"increasingly":[9],"available":[10],"collections":[12],"of":[13,27,32,48,100,106,111,127,132],"various":[14],"document":[15],"types.":[16],"In":[17],"this":[18,33,76],"paper,":[19],"we":[20],"present":[21],"an":[22,82],"approach":[23,34,77],"for":[24,73],"the":[25,46,91,98,103,109,112,116,125,130],"summarisation":[26,64,88,128],"XML":[28,133],"documents.":[29,134],"The":[30,94],"novelty":[31],"lies":[35],"that":[37,97,115],"it":[38],"is":[39,119],"based":[40],"on":[41],"features":[42,69,101],"not":[43],"only":[44],"from":[45,52,102],"content":[47],"documents,":[49],"but":[50],"also":[51,120],"their":[53],"logical":[54,104],"structure.":[55],"We":[56,85],"follow":[57],"a":[58],"machine":[59],"learning":[60],"like,":[61],"sentence":[62,79],"extraction-based":[63],"technique.":[65],"To":[66],"find":[67],"which":[68],"more":[71],"effective":[72,121],"producing":[74],"summaries":[75],"views":[78],"extraction":[80],"as":[81],"ordering":[83],"task.":[84],"evaluated":[86],"our":[87],"model":[89],"using":[90],"INEX":[92],"dataset.":[93],"results":[95],"demonstrate":[96],"inclusion":[99],"structure":[105],"documents":[107],"increases":[108],"effectiveness":[110],"summariser,":[113],"and":[114,122],"learnable":[117],"system":[118],"well-suited":[123],"to":[124],"task":[126],"context":[131]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
