{"id":"https://openalex.org/W2894341882","doi":"https://doi.org/10.1109/ssci.2018.8628873","title":"Text Summarization as Tree Transduction by Top-Down TreeLSTM","display_name":"Text Summarization as Tree Transduction by Top-Down TreeLSTM","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2894341882","doi":"https://doi.org/10.1109/ssci.2018.8628873","mag":"2894341882"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2018.8628873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.09096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053890378","display_name":"Davide Bacciu","orcid":"https://orcid.org/0000-0001-5213-2468"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Bacciu","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053047873","display_name":"Antonio Bruno","orcid":"https://orcid.org/0000-0002-9152-8112"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Bruno","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.4493,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66959917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1411","last_page":"1418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.998199999332428,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8088696599006653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475599646568298},{"id":"https://openalex.org/keywords/transduction","display_name":"Transduction (biophysics)","score":0.7257589101791382},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6336562633514404},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6139931082725525},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5496566891670227},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5135581493377686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043281316757202},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5023658275604248},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4750114381313324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44688859581947327},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4461907148361206},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.44247180223464966},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41412997245788574},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41301584243774414},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.19308823347091675},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1691463589668274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09201642870903015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08734923601150513}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8088696599006653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475599646568298},{"id":"https://openalex.org/C15152581","wikidata":"https://www.wikidata.org/wiki/Q7833966","display_name":"Transduction (biophysics)","level":2,"score":0.7257589101791382},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6336562633514404},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6139931082725525},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5496566891670227},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5135581493377686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043281316757202},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5023658275604248},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4750114381313324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44688859581947327},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4461907148361206},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.44247180223464966},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41412997245788574},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41301584243774414},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.19308823347091675},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1691463589668274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09201642870903015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08734923601150513},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssci.2018.8628873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.09096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.09096","pdf_url":"https://arxiv.org/pdf/1809.09096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arpi.unipi.it:11568/939951","is_oa":false,"landing_page_url":"http://arxiv.org/abs/1809.09096v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.09096","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.09096","pdf_url":"https://arxiv.org/pdf/1809.09096","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1840511785","display_name":null,"funder_award_id":"SIR 2014","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G6906361722","display_name":null,"funder_award_id":"RBSI14STDE","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2894341882.pdf","grobid_xml":"https://content.openalex.org/works/W2894341882.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552023264","https://openalex.org/W1581790469","https://openalex.org/W1614298861","https://openalex.org/W1793121960","https://openalex.org/W1965446791","https://openalex.org/W1966799257","https://openalex.org/W2039649081","https://openalex.org/W2050518168","https://openalex.org/W2064675550","https://openalex.org/W2068390867","https://openalex.org/W2082485091","https://openalex.org/W2083451366","https://openalex.org/W2099088656","https://openalex.org/W2104518905","https://openalex.org/W2107878631","https://openalex.org/W2115322217","https://openalex.org/W2118681326","https://openalex.org/W2119755031","https://openalex.org/W2127827747","https://openalex.org/W2128774237","https://openalex.org/W2130942839","https://openalex.org/W2131479089","https://openalex.org/W2131780215","https://openalex.org/W2133182690","https://openalex.org/W2167072947","https://openalex.org/W2227882979","https://openalex.org/W2289918019","https://openalex.org/W2751262944","https://openalex.org/W2784283104","https://openalex.org/W2951008357","https://openalex.org/W2963113997","https://openalex.org/W2963355447","https://openalex.org/W2963929190","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6632881528","https://openalex.org/W6634979257","https://openalex.org/W6636510571","https://openalex.org/W6638318767","https://openalex.org/W6675573446","https://openalex.org/W6679436768","https://openalex.org/W6684344272","https://openalex.org/W6689315164","https://openalex.org/W6748052864"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W1568205884"],"abstract_inverted_index":{"Extractive":[0],"compression":[1,16,71,79],"is":[2],"a":[3,18,25,34],"challenging":[4],"natural":[5],"language":[6],"processing":[7],"problem.":[8],"This":[9],"work":[10],"contributes":[11],"by":[12,30,44],"formulating":[13],"neural":[14,36],"extractive":[15],"as":[17],"parse":[19],"tree":[20,42],"transduction":[21,27],"problem,":[22],"rather":[23],"than":[24],"sequence":[26],"task.":[28],"Motivated":[29],"this,":[31],"we":[32],"introduce":[33],"deep":[35],"model":[37,61],"for":[38],"learning":[39],"structure-to":[40],"substructure":[41],"transductions":[43],"extending":[45],"the":[46,52,56,66],"standard":[47],"Long":[48],"Short-Term":[49],"Memory,":[50],"considering":[51],"parent-child":[53],"relationships":[54],"in":[55,74],"structural":[57],"recursion.":[58],"The":[59],"proposed":[60],"can":[62],"achieve":[63],"state":[64],"of":[65,76],"art":[67],"performance":[68],"on":[69],"sentence":[70],"benchmarks,":[72],"both":[73],"terms":[75],"accuracy":[77],"and":[78],"rate.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}