{"id":"https://openalex.org/W2565483244","doi":"https://doi.org/10.18653/v1/w16-5906","title":"Introducing DRAIL \u2013 a Step Towards Declarative Deep Relational Learning","display_name":"Introducing DRAIL \u2013 a Step Towards Declarative Deep Relational Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2565483244","doi":"https://doi.org/10.18653/v1/w16-5906","mag":"2565483244"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w16-5906","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-5906","pdf_url":"https://www.aclweb.org/anthology/W16-5906.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Structured Prediction for NLP","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W16-5906.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696227","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0003-3669-4254"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005560875","display_name":"Mar\u00eda Leonor Pacheco","orcid":"https://orcid.org/0000-0001-8399-3199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mar\u00eda Leonor Pacheco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429545","display_name":"Chang Li","orcid":"https://orcid.org/0000-0003-1988-8313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032121234","display_name":"Dan Goldwasser","orcid":"https://orcid.org/0000-0001-9326-8601"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Goldwasser","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":0.1941,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.52340829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9812999963760376,"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":0.9812999963760376,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.972100019454956,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9340000152587891,"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":0.7313104867935181},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.5020618438720703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48762884736061096},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.45555031299591064},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4257574677467346},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38632339239120483},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18877249956130981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313104867935181},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.5020618438720703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48762884736061096},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.45555031299591064},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4257574677467346},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38632339239120483},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18877249956130981}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w16-5906","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-5906","pdf_url":"https://www.aclweb.org/anthology/W16-5906.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Structured Prediction for NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w16-5906","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w16-5906","pdf_url":"https://www.aclweb.org/anthology/W16-5906.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Structured Prediction for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2565483244.pdf","grobid_xml":"https://content.openalex.org/works/W2565483244.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W57528462","https://openalex.org/W85238235","https://openalex.org/W128101668","https://openalex.org/W1566346388","https://openalex.org/W1810943226","https://openalex.org/W2095705004","https://openalex.org/W2103496339","https://openalex.org/W2110485445","https://openalex.org/W2124592697","https://openalex.org/W2131984901","https://openalex.org/W2146502635","https://openalex.org/W2153579005","https://openalex.org/W2157765050","https://openalex.org/W2161222299","https://openalex.org/W2170694982","https://openalex.org/W2194502385","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2295030615","https://openalex.org/W2296283641","https://openalex.org/W2311132329","https://openalex.org/W2465041517","https://openalex.org/W2928160594","https://openalex.org/W2951841654","https://openalex.org/W2962902328","https://openalex.org/W2963572185","https://openalex.org/W2964308564","https://openalex.org/W2998508934","https://openalex.org/W4233787372","https://openalex.org/W4248199421","https://openalex.org/W4254816979","https://openalex.org/W4294170691","https://openalex.org/W4294502377","https://openalex.org/W4297734170","https://openalex.org/W4298298619"],"related_works":["https://openalex.org/W3181676408","https://openalex.org/W3192589309","https://openalex.org/W2112176619","https://openalex.org/W1549959306","https://openalex.org/W320292658","https://openalex.org/W2212764924","https://openalex.org/W2806326686","https://openalex.org/W2001007279","https://openalex.org/W2079674650","https://openalex.org/W2945061532"],"abstract_inverted_index":{"We":[0],"introduce":[1],"DRAIL,":[2],"a":[3],"new":[4],"declarative":[5],"framework":[6,13],"for":[7],"specifying":[8],"Deep":[9],"Relational":[10],"Models.":[11],"Our":[12],"separates":[14],"structural":[15,32],"considerations,":[16],"which":[17],"express":[18],"domain":[19],"knowledge,":[20],"from":[21],"the":[22,27],"learning":[23],"architecture":[24],"to":[25],"simplify":[26],"process":[28],"of":[29],"building":[30],"complex":[31],"models.":[33]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}