{"id":"https://openalex.org/W3186348969","doi":"https://doi.org/10.1007/978-3-030-79876-5_31","title":"Improving ENIGMA-style Clause Selection while Learning From History","display_name":"Improving ENIGMA-style Clause Selection while Learning From History","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186348969","doi":"https://doi.org/10.1007/978-3-030-79876-5_31","mag":"3186348969"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-79876-5_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-79876-5_31","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-79876-5_31.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-79876-5_31.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065681566","display_name":"Martin Suda","orcid":"https://orcid.org/0000-0003-0989-5800"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Martin Suda","raw_affiliation_strings":["Czech Technical University in Prague, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0003-0989-5800","affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065681566"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.5903,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94104064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"543","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10126","display_name":"Logic, programming, and type systems","score":0.989799976348877,"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/T10126","display_name":"Logic, programming, and type systems","score":0.989799976348877,"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":0.9865999817848206,"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7921597957611084},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.7292813062667847},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.6636363863945007},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6059738993644714},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6057195663452148},{"id":"https://openalex.org/keywords/automated-theorem-proving","display_name":"Automated theorem proving","score":0.5938284993171692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5823773741722107},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5363973379135132},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4714411497116089},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4309238791465759},{"id":"https://openalex.org/keywords/writing-style","display_name":"Writing style","score":0.4132479727268219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38538801670074463},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3190768361091614},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13441357016563416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12084752321243286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921597957611084},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.7292813062667847},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.6636363863945007},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6059738993644714},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6057195663452148},{"id":"https://openalex.org/C206880738","wikidata":"https://www.wikidata.org/wiki/Q431667","display_name":"Automated theorem proving","level":2,"score":0.5938284993171692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5823773741722107},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5363973379135132},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4714411497116089},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4309238791465759},{"id":"https://openalex.org/C13622073","wikidata":"https://www.wikidata.org/wiki/Q2243831","display_name":"Writing style","level":2,"score":0.4132479727268219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38538801670074463},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3190768361091614},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13441357016563416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12084752321243286},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-79876-5_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-79876-5_31","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-79876-5_31.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-79876-5_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-79876-5_31","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-79876-5_31.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6075374621","display_name":null,"funder_award_id":"857306","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186348969.pdf","grobid_xml":"https://content.openalex.org/works/W3186348969.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1781094","https://openalex.org/W391985582","https://openalex.org/W1472528886","https://openalex.org/W1507112684","https://openalex.org/W1511737804","https://openalex.org/W1513576223","https://openalex.org/W1517086500","https://openalex.org/W1519551513","https://openalex.org/W1881432009","https://openalex.org/W2037085273","https://openalex.org/W2095705004","https://openalex.org/W2104518905","https://openalex.org/W2126869384","https://openalex.org/W2221495694","https://openalex.org/W2428112462","https://openalex.org/W2460200316","https://openalex.org/W2563639488","https://openalex.org/W2581202535","https://openalex.org/W2626778328","https://openalex.org/W2883677812","https://openalex.org/W2963163009","https://openalex.org/W2963376030","https://openalex.org/W2963587345","https://openalex.org/W2964054038","https://openalex.org/W2964121744","https://openalex.org/W2969853999","https://openalex.org/W2969934262","https://openalex.org/W2969992190","https://openalex.org/W2970971581","https://openalex.org/W2977777155","https://openalex.org/W2991316449","https://openalex.org/W3036819305","https://openalex.org/W3037932933","https://openalex.org/W3038615574","https://openalex.org/W3038732795","https://openalex.org/W3091642417","https://openalex.org/W3116238556","https://openalex.org/W3126578424","https://openalex.org/W6604294993","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2808944898","https://openalex.org/W3196207352","https://openalex.org/W2951724202","https://openalex.org/W3084261076","https://openalex.org/W1996614773","https://openalex.org/W4387820098","https://openalex.org/W2576399385","https://openalex.org/W2019604532","https://openalex.org/W1555836633","https://openalex.org/W3100311625"],"abstract_inverted_index":{"Abstract":[0],"We":[1,47],"re-examine":[2],"the":[3,20,60,77,94],"topic":[4],"of":[5,81,105],"machine-learned":[6],"clause":[7],"selection":[8],"guidance":[9],"in":[10,33,107],"saturation-based":[11],"theorem":[12,89],"provers.":[13],"The":[14,87],"central":[15],"idea,":[16],"recently":[17],"popularized":[18],"by":[19,93],"ENIGMA":[21],"system,":[22],"is":[23],"to":[24,51,68],"learn":[25],"a":[26,64,97,102,108],"classifier":[27],"for":[28,45],"recognizing":[29],"clauses":[30,40,70],"that":[31],"appeared":[32],"previously":[34],"discovered":[35],"proofs.":[36],"In":[37],"subsequent":[38],"runs,":[39],"classified":[41],"positively":[42],"are":[43],"prioritized":[44],"selection.":[46],"propose":[48],"several":[49],"improvements":[50],"this":[52],"approach":[53],"and":[54,76],"experimentally":[55],"confirm":[56],"their":[57,73],"viability.":[58],"For":[59],"demonstration,":[61],"we":[62],"use":[63],"recursive":[65],"neural":[66],"network":[67,95],"classify":[69],"based":[71],"on":[72,101],"derivation":[74],"history":[75],"presence":[78],"or":[79],"absence":[80],"automatically":[82],"supplied":[83],"theory":[84],"axioms":[85],"therein.":[86],"automatic":[88],"prover":[90],"Vampire":[91],"guided":[92],"achieves":[96],"41":[98],"%":[99],"improvement":[100],"relevant":[103],"subset":[104],"SMT-LIB":[106],"real":[109],"time":[110],"evaluation.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}