{"id":"https://openalex.org/W4384890796","doi":"https://doi.org/10.1145/3539618.3594246","title":"Neuro-Symbolic Representations for Information Retrieval","display_name":"Neuro-Symbolic Representations for Information Retrieval","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384890796","doi":"https://doi.org/10.1145/3539618.3594246"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3594246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3594246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5027260515","display_name":"Laura Dietz","orcid":"https://orcid.org/0000-0003-1624-3907"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Dietz","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":"https://orcid.org/0000-0003-1624-3907","affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036444203","display_name":"Hannah Bast","orcid":"https://orcid.org/0000-0003-1213-6776"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hannah Bast","raw_affiliation_strings":["University of Freiburg, Freiburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1213-6776","affiliations":[{"raw_affiliation_string":"University of Freiburg, Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004223654","display_name":"Shubham Chatterjee","orcid":"https://orcid.org/0000-0002-6729-1346"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shubham Chatterjee","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6729-1346","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071842569","display_name":"Jeff Dalton","orcid":"https://orcid.org/0000-0003-2422-8651"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeffrey Dalton","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-2422-8651","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018977183","display_name":"Jian\u2010Yun Nie","orcid":"https://orcid.org/0000-0003-1556-3335"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian-Yun Nie","raw_affiliation_strings":["University of Montreal, Montreal, PQ, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1556-3335","affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030647281","display_name":"Rodrigo Nogueira","orcid":"https://orcid.org/0000-0002-2600-6035"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Nogueira","raw_affiliation_strings":["State University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2600-6035","affiliations":[{"raw_affiliation_string":"State University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3436","last_page":"3439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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":0.9965999722480774,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9889000058174133,"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/T10320","display_name":"Neural Networks and Applications","score":0.9878000020980835,"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":0.7972393035888672},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.756289541721344},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5282529592514038},{"id":"https://openalex.org/keywords/the-symbolic","display_name":"The Symbolic","score":0.5091614127159119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4457698464393616},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43664199113845825},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34502315521240234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972393035888672},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.756289541721344},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5282529592514038},{"id":"https://openalex.org/C2776095079","wikidata":"https://www.wikidata.org/wiki/Q489538","display_name":"The Symbolic","level":2,"score":0.5091614127159119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4457698464393616},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43664199113845825},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34502315521240234},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3594246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3594246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G3203412108","display_name":"Turing AI Fellowship:Neural Conversational Information Seeking Assistant","funder_award_id":"EP/V025708/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3847272511","display_name":"CAREER: Utilizing Fine-Grained Knowledge Annotations in Text Understanding and Retrieval","funder_award_id":"1846017","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7302224536","display_name":null,"funder_award_id":"EP/V025708/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1981419611","https://openalex.org/W2000411838","https://openalex.org/W2624431344","https://openalex.org/W2767334383","https://openalex.org/W2922348034","https://openalex.org/W2998385486","https://openalex.org/W3007672467","https://openalex.org/W3015671442","https://openalex.org/W3023672669","https://openalex.org/W3033919759","https://openalex.org/W3034999214","https://openalex.org/W3043016077","https://openalex.org/W3044410371","https://openalex.org/W3090656107","https://openalex.org/W3092952717","https://openalex.org/W3098350697","https://openalex.org/W3118125915","https://openalex.org/W3151929433","https://openalex.org/W3154280800","https://openalex.org/W4225380759","https://openalex.org/W4252222626","https://openalex.org/W4283819090","https://openalex.org/W4284685989","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4306317478"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W3033859939","https://openalex.org/W2847365777","https://openalex.org/W2355048207","https://openalex.org/W3126051647","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W3128025644"],"abstract_inverted_index":{"This":[0],"tutorial":[1],"will":[2],"provide":[3],"an":[4],"overview":[5],"of":[6],"recent":[7],"advances":[8],"on":[9,28],"neuro-symbolic":[10],"approaches":[11],"for":[12],"information":[13],"retrieval.":[14],"A":[15],"decade":[16],"ago,":[17],"knowledge":[18],"graphs":[19],"and":[20,46],"semantic":[21],"annotations":[22],"technology":[23],"led":[24],"to":[25,30,43],"active":[26],"research":[27],"how":[29],"best":[31],"leverage":[32],"symbolic":[33],"knowledge.":[34],"At":[35],"the":[36],"same":[37],"time,":[38],"neural":[39],"methods":[40],"have":[41],"demonstrated":[42],"be":[44],"versatile":[45],"highly":[47],"effective.":[48]},"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}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}