{"id":"https://openalex.org/W2791908423","doi":"https://doi.org/10.48550/arxiv.1803.04329","title":"Semantic Parsing Natural Language into SPARQL: Improving Target Language Representation with Neural Attention","display_name":"Semantic Parsing Natural Language into SPARQL: Improving Target Language Representation with Neural Attention","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2791908423","doi":"https://doi.org/10.48550/arxiv.1803.04329","mag":"2791908423"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1803.04329","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.04329","pdf_url":"https://arxiv.org/pdf/1803.04329","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,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.04329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039805810","display_name":"Fabiano Ferreira Luz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luz, Fabiano Ferreira","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024395125","display_name":"Marcelo Finger","orcid":"https://orcid.org/0000-0002-1391-1175","observed_orcids":["https://orcid.org/0000-0002-1391-1175"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Finger, Marcelo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4936999976634979,"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":0.4936999976634979,"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":0.32739999890327454,"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":0.13699999451637268,"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/semantic-parsing","display_name":"semantic parsing","score":0.9769999980926514},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.7049999833106995},{"id":"https://openalex.org/keywords/natural-language-to-query-translation","display_name":"natural language to query translation","score":0.7360000014305115},{"id":"https://openalex.org/keywords/ontology-database","display_name":"ontology database","score":0.7310000061988831},{"id":"https://openalex.org/keywords/neural-attention","display_name":"neural attention","score":0.6439999938011169},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.7239999771118164},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"vector space model","score":0.6909999847412109},{"id":"https://openalex.org/keywords/knowledge-base-question-answering","display_name":"knowledge base question answering","score":0.4449999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8651838302612305},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.8336634039878845},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7451925277709961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824164390563965},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6180042028427124},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5928570032119751},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5805009007453918},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.4864916205406189},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4455309510231018},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41767922043800354},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.41633889079093933},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.09953543543815613},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.09209749102592468},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1803.04329","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.04329","pdf_url":"https://arxiv.org/pdf/1803.04329","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,"listed_in":[],"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":"doi:10.48550/arxiv.1803.04329","doi":"https://doi.org/10.48550/arxiv.1803.04329","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.04329","pdf_url":null,"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,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.04329","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.04329","pdf_url":"https://arxiv.org/pdf/1803.04329","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,"listed_in":[],"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":[],"sustainable_development_goals_aurora":[{"display_name":"Quality education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W193358427","https://openalex.org/W1496189301","https://openalex.org/W1533817337","https://openalex.org/W1540862445","https://openalex.org/W1550490297","https://openalex.org/W1560797712","https://openalex.org/W1859383741","https://openalex.org/W2005708641","https://openalex.org/W2101746535","https://openalex.org/W2131774270","https://openalex.org/W2212742528","https://openalex.org/W2250539671","https://openalex.org/W2260667602","https://openalex.org/W2289899728","https://openalex.org/W2950635152","https://openalex.org/W2963794306","https://openalex.org/W2964308564","https://openalex.org/W3099514962"],"related_works":["https://openalex.org/W2038821533","https://openalex.org/W1976467436","https://openalex.org/W76044956","https://openalex.org/W4298860421","https://openalex.org/W2764264137","https://openalex.org/W2121244496","https://openalex.org/W1596232896","https://openalex.org/W4362598466","https://openalex.org/W341485587","https://openalex.org/W1982139456"],"abstract_inverted_index":{"Semantic":[0],"parsing":[1],"is":[2,61,73],"the":[3,23,40,87],"process":[4],"of":[5,15],"mapping":[6],"a":[7,12,33,83,105,114],"natural":[8,29,90,119],"language":[9,30,91,120],"sentence":[10,31,88],"into":[11,32],"formal":[13],"representation":[14,85,101],"its":[16],"meaning.":[17],"In":[18],"this":[19,99],"work":[20],"we":[21],"use":[22],"neural":[24,68,106],"network":[25,107],"approach":[26,60],"to":[27,35,104,112,117],"transform":[28],"query":[34],"an":[36],"ontology":[37],"database":[38],"in":[39,75,89],"SPARQL":[41,93],"language.":[42],"This":[43],"method":[44],"does":[45],"not":[46],"rely":[47],"on":[48,63],"handcraft-rules,":[49],"high-quality":[50],"lexicons,":[51],"manually-built":[52],"templates":[53],"or":[54],"other":[55],"handmade":[56],"complex":[57],"structures.":[58],"Our":[59],"based":[62,74],"vector":[64,84,100],"space":[65],"model":[66,72,115],"and":[67,92,121],"networks.":[69],"The":[70,79,95],"proposed":[71],"two":[76],"learning":[77],"steps.":[78],"first":[80],"step":[81,97],"generates":[82],"for":[86],"query.":[94],"second":[96],"uses":[98],"as":[102],"input":[103],"(LSTM":[108],"with":[109],"attention":[110],"mechanism)":[111],"generate":[113],"able":[116],"encode":[118],"decode":[122],"SPARQL.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-03-29T00:00:00"}