{"id":"https://openalex.org/W3096141267","doi":"https://doi.org/10.21437/interspeech.2020-3020","title":"Neural Language Modeling with Implicit Cache Pointers","display_name":"Neural Language Modeling with Implicit Cache Pointers","publication_year":2020,"publication_date":"2020-10-25","ids":{"openalex":"https://openalex.org/W3096141267","doi":"https://doi.org/10.21437/interspeech.2020-3020","mag":"3096141267"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2020-3020","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2020-3020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2020","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/A5100343450","display_name":"Ke Li","orcid":"https://orcid.org/0000-0001-7200-4244"},"institutions":[{"id":"https://openalex.org/I4210098364","display_name":"Institute for Language and Speech Processing","ror":"https://ror.org/00z24kr14","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210098364"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Center for Language and Speech Processing &"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing &","institution_ids":["https://openalex.org/I4210098364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084286453","display_name":"Daniel Povey","orcid":"https://orcid.org/0000-0002-0611-3634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Povey","raw_affiliation_strings":["Xiaomi Corp., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corp., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014580424","display_name":"Sanjeev Khudanpur","orcid":"https://orcid.org/0000-0001-5976-0897"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210098364","display_name":"Institute for Language and Speech Processing","ror":"https://ror.org/00z24kr14","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210098364"]}],"countries":["GR","US"],"is_corresponding":false,"raw_author_name":"Sanjeev Khudanpur","raw_affiliation_strings":["Center for Language and Speech Processing &","Human Language Technology Center of Excellence The Johns Hopkins University, Baltimore, MD 21218, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing &","institution_ids":["https://openalex.org/I4210098364"]},{"raw_affiliation_string":"Human Language Technology Center of Excellence The Johns Hopkins University, Baltimore, MD 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59565915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3625","last_page":"3629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.8521465063095093},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4958518445491791},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.48873353004455566},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4513671398162842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8521465063095093},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4958518445491791},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.48873353004455566},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4513671398162842}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2020-3020","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2020-3020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2020","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1520465330","https://openalex.org/W1524333225","https://openalex.org/W1591801644","https://openalex.org/W1999965501","https://openalex.org/W2102439588","https://openalex.org/W2127836646","https://openalex.org/W2514741789","https://openalex.org/W2605133364","https://openalex.org/W2757047188","https://openalex.org/W2802422770","https://openalex.org/W2888867175","https://openalex.org/W2889152503","https://openalex.org/W2890560993","https://openalex.org/W2896457183","https://openalex.org/W2943845043","https://openalex.org/W2951672049","https://openalex.org/W2962944953","https://openalex.org/W2963951265","https://openalex.org/W2964165364","https://openalex.org/W3007776460","https://openalex.org/W3015484572","https://openalex.org/W4288365749","https://openalex.org/W4298422451","https://openalex.org/W4299838440","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"A":[0],"cache-inspired":[1],"approach":[2,22],"is":[3,23,73,112,134],"proposed":[4,100,138],"for":[5,136],"neural":[6,33,64,88],"language":[7],"models":[8,145],"(LMs)":[9],"to":[10,27,35,58,75,82,150],"improve":[11],"long-range":[12],"dependency":[13],"and":[14,43,66,96,105,111,130],"better":[15],"predict":[16],"rare":[17,116,129],"words":[18,37,55,77],"from":[19,38],"long":[20],"contexts.This":[21],"a":[24,63],"simpler":[25],"alternative":[26],"attention-based":[28,108,147],"pointer":[29,109,148],"mechanism":[30,110,149],"that":[31,53,78,124],"enables":[32],"LMs":[34],"reproduce":[36],"recent":[39],"history.Without":[40],"using":[41],"attention":[42],"mixture":[44],"structure,":[45],"the":[46,59,99,137],"method":[47],"only":[48],"involves":[49],"appending":[50],"extra":[51],"tokens":[52],"represent":[54],"in":[56],"history":[57],"output":[60],"layer":[61],"of":[62],"LM":[65],"modifying":[67],"training":[68],"supervisions":[69],"accordingly.A":[70],"memory-augmentation":[71],"unit":[72],"introduced":[74],"learn":[76],"are":[79],"particularly":[80],"likely":[81],"repeat.We":[83],"experiment":[84],"with":[85,107,146],"both":[86,103,127],"recurrent":[87],"network-and":[89],"Transformer-based":[90],"LMs.Perplexity":[91],"evaluation":[92],"on":[93,115,121],"Penn":[94],"Treebank":[95],"WikiText-2":[97],"shows":[98],"model":[101,139],"outperforms":[102],"LSTM":[104,106],"more":[113],"effective":[114],"words.N":[117],"-best":[118],"rescoring":[119],"experiments":[120],"Switchboard":[122],"indicate":[123],"it":[125,133],"benefits":[126],"very":[128],"frequent":[131],"words.However,":[132],"challenging":[135],"as":[140,142],"well":[141],"two":[143],"other":[144],"obtain":[151],"good":[152],"overall":[153],"WER":[154],"reductions.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}