{"id":"https://openalex.org/W2885163090","doi":"https://doi.org/10.18653/v1/w18-3020","title":"Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences","display_name":"Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2885163090","doi":"https://doi.org/10.18653/v1/w18-3020","mag":"2885163090"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-3020","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3020","pdf_url":"https://www.aclweb.org/anthology/W18-3020.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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W18-3020.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016916513","display_name":"Athul Paul Jacob","orcid":"https://orcid.org/0000-0003-2167-6985"},"institutions":[{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]},{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]},{"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","DZ","GB"],"is_corresponding":false,"raw_author_name":"Athul Paul Jacob","raw_affiliation_strings":["Microsoft Research, Montreal","MILA University of Montr\u00e9al, CIFAR","University of Waterloo","Microsoft Research Montr\u00e9al, Canada","MILA University of Montr\u00e9al AdeptMind Scholar"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Montreal","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al, CIFAR","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I109736498","https://openalex.org/I70931966"]},{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Microsoft Research Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al AdeptMind Scholar","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024900991","display_name":"Zhouhan Lin","orcid":"https://orcid.org/0009-0009-7204-0689"},"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"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]},{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]},{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]}],"countries":["CA","DZ","GB"],"is_corresponding":true,"raw_author_name":"Zhouhan Lin","raw_affiliation_strings":["Microsoft Research Montr\u00e9al, Canada","University of Waterloo","MILA University of Montr\u00e9al, CIFAR","Microsoft Research, Montreal","MILA University of Montr\u00e9al AdeptMind Scholar"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al, CIFAR","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I109736498","https://openalex.org/I70931966"]},{"raw_affiliation_string":"Microsoft Research, Montreal","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al AdeptMind Scholar","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108137151","display_name":"Alessandro Sordoni","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]},{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"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","DZ","GB"],"is_corresponding":false,"raw_author_name":"Alessandro Sordoni","raw_affiliation_strings":["MILA University of Montr\u00e9al, CIFAR","Microsoft Research, Montreal","Microsoft Research Montr\u00e9al, Canada","University of Waterloo","MILA University of Montr\u00e9al AdeptMind Scholar"],"affiliations":[{"raw_affiliation_string":"MILA University of Montr\u00e9al, CIFAR","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I109736498","https://openalex.org/I70931966"]},{"raw_affiliation_string":"Microsoft Research, Montreal","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"Microsoft Research Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al AdeptMind Scholar","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086198262","display_name":"Yoshua Bengio","orcid":"https://orcid.org/0000-0002-9322-3515"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]},{"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"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]},{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA","DZ","GB"],"is_corresponding":false,"raw_author_name":"Yoshua Bengio","raw_affiliation_strings":["University of Waterloo","Microsoft Research, Montreal","Microsoft Research Montr\u00e9al, Canada","MILA University of Montr\u00e9al, CIFAR","MILA University of Montr\u00e9al AdeptMind Scholar"],"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Microsoft Research, Montreal","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"Microsoft Research Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al, CIFAR","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I109736498","https://openalex.org/I70931966"]},{"raw_affiliation_string":"MILA University of Montr\u00e9al AdeptMind Scholar","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024900991"],"corresponding_institution_ids":["https://openalex.org/I109736498","https://openalex.org/I151746483","https://openalex.org/I4210153468","https://openalex.org/I4210155582","https://openalex.org/I4210164937","https://openalex.org/I4402554038","https://openalex.org/I70931966"],"apc_list":null,"apc_paid":null,"fwci":2.1175,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90233563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9883999824523926,"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":0.7690441608428955},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.6404669880867004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6324078440666199},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.631107747554779},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5527476668357849},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5495598912239075},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5329701900482178},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5285282135009766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4840092360973358},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.43722572922706604},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36944150924682617},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.35475239157676697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15471044182777405},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09073033928871155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08932945132255554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690441608428955},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.6404669880867004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6324078440666199},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.631107747554779},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5527476668357849},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5495598912239075},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5329701900482178},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5285282135009766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4840092360973358},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.43722572922706604},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36944150924682617},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.35475239157676697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15471044182777405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09073033928871155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08932945132255554},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w18-3020","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3020","pdf_url":"https://www.aclweb.org/anthology/W18-3020.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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-3020","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3020","pdf_url":"https://www.aclweb.org/anthology/W18-3020.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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320314000","display_name":"Compute Canada","ror":"https://ror.org/03ty8yr27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2885163090.pdf","grobid_xml":"https://content.openalex.org/works/W2885163090.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1632114991","https://openalex.org/W1757796397","https://openalex.org/W1840435438","https://openalex.org/W2036317923","https://openalex.org/W2064675550","https://openalex.org/W2099257174","https://openalex.org/W2107878631","https://openalex.org/W2119717200","https://openalex.org/W2132547887","https://openalex.org/W2251939518","https://openalex.org/W2308720496","https://openalex.org/W2610794419","https://openalex.org/W2743945814","https://openalex.org/W2752868598","https://openalex.org/W2951264799","https://openalex.org/W2962911926","https://openalex.org/W2963073938","https://openalex.org/W2963355447","https://openalex.org/W2963447120","https://openalex.org/W2963451457","https://openalex.org/W2963580443","https://openalex.org/W2964289395","https://openalex.org/W4298857966","https://openalex.org/W4299838440"],"related_works":["https://openalex.org/W4319083788","https://openalex.org/W2907306720","https://openalex.org/W1566044635","https://openalex.org/W1543664440","https://openalex.org/W2358461832","https://openalex.org/W2112099765","https://openalex.org/W4236658518","https://openalex.org/W2792946098","https://openalex.org/W2024617115","https://openalex.org/W1127858866"],"abstract_inverted_index":{"We":[0,64],"propose":[1],"a":[2,10,21,32,61,69,82,103],"hierarchical":[3,83],"model":[4,101],"for":[5],"sequential":[6],"data":[7],"that":[8,39,86],"learns":[9],"tree":[11,47,84],"on-thefly,":[12],"i.e.":[13],"while":[14],"reading":[15],"the":[16,19,41,92,114],"sequence.":[17],"In":[18],"model,":[20],"recurrent":[22,29],"network":[23],"adapts":[24],"its":[25],"structure":[26,48,85],"and":[27,107],"reuses":[28],"weights":[30],"in":[31,60,68,102],"recursive":[33],"manner.":[34,63],"This":[35],"creates":[36],"adaptive":[37],"skip-connections":[38],"ease":[40],"learning":[42],"of":[43,94,116],"long-term":[44],"dependencies.":[45],"The":[46],"can":[49,87],"either":[50],"be":[51,88],"inferred":[52],"without":[53],"supervision":[54],"through":[55],"reinforcement":[56],"learning,":[57],"or":[58],"learned":[59],"supervised":[62],"provide":[65],"preliminary":[66],"experiments":[67],"novel":[70],"Math":[71],"Expression":[72],"Evaluation":[73],"(MEE)":[74],"task,":[75],"which":[76],"is":[77],"explicitly":[78],"crafted":[79],"to":[80,90],"have":[81],"used":[89],"study":[91],"effectiveness":[93],"our":[95,100,117],"model.":[96],"Additionally,":[97],"we":[98],"test":[99],"wellknown":[104],"propositional":[105],"logic":[106],"language":[108],"modelling":[109],"tasks.":[110],"Experimental":[111],"results":[112],"show":[113],"potential":[115],"approach.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}