{"id":"https://openalex.org/W2970886003","doi":"https://doi.org/10.18653/v1/d19-1455","title":"Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning","display_name":"Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970886003","doi":"https://doi.org/10.18653/v1/d19-1455","mag":"2970886003"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1455","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1455","pdf_url":"https://aclanthology.org/D19-1455.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D19-1455.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101705761","display_name":"Yichen Jiang","orcid":"https://orcid.org/0000-0002-9139-3799"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yichen Jiang","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I1333535994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001987532","display_name":"Mohit Bansal","orcid":"https://orcid.org/0000-0001-5522-1351"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Bansal","raw_affiliation_strings":["UNC Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I1333535994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4473","last_page":"4483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7202962040901184},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.656829833984375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4791552424430847},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4340507984161377},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.4252289831638336},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40467125177383423},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.34048303961753845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32982075214385986},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.132788747549057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202962040901184},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.656829833984375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4791552424430847},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4340507984161377},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.4252289831638336},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40467125177383423},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34048303961753845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32982075214385986},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.132788747549057}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1455","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1455","pdf_url":"https://aclanthology.org/D19-1455.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1455","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1455","pdf_url":"https://aclanthology.org/D19-1455.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970886003.pdf","grobid_xml":"https://content.openalex.org/works/W2970886003.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1525961042","https://openalex.org/W1544827683","https://openalex.org/W2064675550","https://openalex.org/W2119717200","https://openalex.org/W2123442489","https://openalex.org/W2250539671","https://openalex.org/W2251818205","https://openalex.org/W2551396370","https://openalex.org/W2552027021","https://openalex.org/W2553303224","https://openalex.org/W2788810331","https://openalex.org/W2793546384","https://openalex.org/W2810075754","https://openalex.org/W2883104598","https://openalex.org/W2889787757","https://openalex.org/W2907822478","https://openalex.org/W2942128719","https://openalex.org/W2949134692","https://openalex.org/W2949615363","https://openalex.org/W2951104886","https://openalex.org/W2951328433","https://openalex.org/W2953163841","https://openalex.org/W2962716332","https://openalex.org/W2962718483","https://openalex.org/W2962746461","https://openalex.org/W2962790689","https://openalex.org/W2963024727","https://openalex.org/W2963143606","https://openalex.org/W2963224792","https://openalex.org/W2963323070","https://openalex.org/W2963339397","https://openalex.org/W2963341956","https://openalex.org/W2963748441","https://openalex.org/W2963866616","https://openalex.org/W2963871484","https://openalex.org/W2964118342","https://openalex.org/W4300687381"],"related_works":["https://openalex.org/W2117210722","https://openalex.org/W1978191894","https://openalex.org/W2589759689","https://openalex.org/W2018045843","https://openalex.org/W3146035416","https://openalex.org/W3125668480","https://openalex.org/W1999406711","https://openalex.org/W2378076731","https://openalex.org/W4286888643","https://openalex.org/W1989661137"],"abstract_inverted_index":{"Yichen":[0],"Jiang,":[1],"Mohit":[2],"Bansal.":[3],"Proceedings":[4],"of":[5],"the":[6,17],"2019":[7],"Conference":[8,21],"on":[9,22],"Empirical":[10],"Methods":[11],"in":[12],"Natural":[13,23],"Language":[14,24],"Processing":[15,25],"and":[16],"9th":[18],"International":[19],"Joint":[20],"(EMNLP-IJCNLP).":[26],"2019.":[27]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
