Search
| Leader | 00000nz a2200037n 45 0 | ||
|---|---|---|---|
| 001 | WKP|Q38882473 (VIAF cluster) (Authority/Source Record) | ||
| 003 | WKP | ||
| 005 | 20241121000029.0 | ||
| 008 | 241121nneanz||abbn n and d | ||
| 035 | ‡a (WKP)Q38882473 | ||
| 035 | ‡a (OCoLC)Q38882473 | ||
| 100 | 0 | ‡a Noah A. Smith ‡c professor of computer science ‡9 en | |
| 400 | 0 | ‡a Ноа Смит ‡9 ru | |
| 400 | 0 | ‡a Noah Ashton Smith ‡c taalkundige ‡9 nl | |
| 400 | 0 | ‡a Noah A. Smith ‡c sprogforsker ‡9 da | |
| 670 | ‡a Author's A Neural Framework for Generalized Topic Models | ||
| 670 | ‡a Author's Annotation Artifacts in Natural Language Inference Data | ||
| 670 | ‡a Author's ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning | ||
| 670 | ‡a Author's Conditional Random Field Autoencoders for Unsupervised Structured Prediction | ||
| 670 | ‡a Author's Diffusion of lexical change in social media | ||
| 670 | ‡a Author's Empirical Risk Minimization with Approximations of Probabilistic Grammars | ||
| 670 | ‡a Author's Green AI | ||
| 670 | ‡a Author's Knowledge Enhanced Contextual Word Representations | ||
| 670 | ‡a Author's Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction | ||
| 670 | ‡a Author's Massively Multilingual Word Embeddings | ||
| 670 | ‡a Author's Narrative framing of consumer sentiment in online restaurant reviews | ||
| 670 | ‡a Author's Retrofitting Word Vectors to Semantic Lexicons | ||
| 670 | ‡a Author's Self-Instruct: Aligning Language Model with Self Generated Instructions | ||
| 670 | ‡a Author's Weighted and Probabilistic Context-Free Grammars Are Equally Expressive | ||
| 670 | ‡a Author's What Do Recurrent Neural Network Grammars Learn About Syntax? | ||
| 670 | ‡a Author's What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/ISNI|0000000355983756 | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/PTBNP|1628695 | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/BIBSYS|12015374 | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/viaf/174495082 | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/LC|no2011117225 | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/SUDOC|24933156X | ||
| 670 | ‡a wikidata authority control ‡u https://viaf.org/processed/RERO|02-A019234426 | ||
| 919 | ‡a diffusionoflexicalchangeinsocialmedia ‡A Diffusion of lexical change in social media ‡9 1 | ||
| 919 | ‡a atomicanatlasofmachinecommonsenseforifthenreasoning ‡A ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning ‡9 1 | ||
| 919 | ‡a annotationartifactsinnaturallanguageinferencedata ‡A Annotation Artifacts in Natural Language Inference Data ‡9 1 | ||
| 919 | ‡a neuralframeworkforgeneralizedtopicmodels ‡A A Neural Framework for Generalized Topic Models ‡9 1 | ||
| 919 | ‡a conditionalrandomfieldautoencodersforunsupervisedstructuredprediction ‡A Conditional Random Field Autoencoders for Unsupervised Structured Prediction ‡9 1 | ||
| 919 | ‡a whatisthejeopardymodelaquasisynchronousgrammarforqa ‡A What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA ‡9 1 | ||
| 919 | ‡a whatdorecurrentneuralnetworkgrammarslearnaboutsyntax ‡A What Do Recurrent Neural Network Grammars Learn About Syntax? ‡9 1 | ||
| 919 | ‡a weightedandprobabilisticcontextfreegrammarsareequallyexpressive ‡A Weighted and Probabilistic Context-Free Grammars Are Equally Expressive ‡9 1 | ||
| 919 | ‡a selfinstructaligninglanguagemodelwithselfgeneratedinstructions ‡A Self-Instruct: Aligning Language Model with Self Generated Instructions ‡9 1 | ||
| 919 | ‡a retrofittingwordvectorstosemanticlexicons ‡A Retrofitting Word Vectors to Semantic Lexicons ‡9 1 | ||
| 919 | ‡a narrativeframingofconsumersentimentinonlinerestaurantreviews ‡A Narrative framing of consumer sentiment in online restaurant reviews ‡9 1 | ||
| 919 | ‡a massivelymultilingualwordembeddings ‡A Massively Multilingual Word Embeddings ‡9 1 | ||
| 919 | ‡a logisticnormalpriorsforunsupervisedprobabilisticgrammarinduction ‡A Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction ‡9 1 | ||
| 919 | ‡a knowledgeenhancedcontextualwordrepresentations ‡A Knowledge Enhanced Contextual Word Representations ‡9 1 | ||
| 919 | ‡a greenai ‡A Green AI ‡9 1 | ||
| 919 | ‡a empiricalriskminimizationwithapproximationsofprobabilisticgrammars ‡A Empirical Risk Minimization with Approximations of Probabilistic Grammars ‡9 1 | ||
| 996 | ‡2 ISNI|0000000022351929 | ||
| 996 | ‡2 ISNI|0000000447502059 | ||
| 996 | ‡2 BNC|981058616448206706 | ||
| 996 | ‡2 ISNI|0000000054071833 | ||
| 996 | ‡2 BIBSYS|4043242 | ||
| 996 | ‡2 W2Z|12069273 | ||
| 996 | ‡2 DNB|133800083 | ||
| 996 | ‡2 BIBSYS|12015374 | ||
| 996 | ‡2 LC|n 91024361 | ||
| 996 | ‡2 SUDOC|24933156X | ||
| 996 | ‡2 BIBSYS|90299502 | ||
| 996 | ‡2 ISNI|0000000082362750 | ||
| 996 | ‡2 DNB|123428166X | ||
| 996 | ‡2 NTA|387286918 | ||
| 996 | ‡2 DNB|1295242958 | ||
| 996 | ‡2 PTBNP|1628695 | ||
| 996 | ‡2 CAOONL|ncf11615031 | ||
| 996 | ‡2 BAV|495_286240 | ||
| 996 | ‡2 LC|no2022067966 | ||
| 996 | ‡2 CAOONL|ncf10255804 | ||
| 996 | ‡2 LC|n 77007554 | ||
| 996 | ‡2 PLWABN|9814289143405606 | ||
| 996 | ‡2 LC|nr 98017553 | ||
| 996 | ‡2 DBC|87097969033571 | ||
| 996 | ‡2 LC|nb2013018825 | ||
| 996 | ‡2 LC|nb2010032058 | ||
| 996 | ‡2 BNF|12397488 | ||
| 996 | ‡2 DNB|121105350 | ||
| 996 | ‡2 NTA|316334189 | ||
| 996 | ‡2 BNF|15533911 | ||
| 996 | ‡2 NTA|071417354 | ||
| 996 | ‡2 LC|no2011117225 | ||
| 996 | ‡2 LC|no2007021785 | ||
| 996 | ‡2 DNB|1218976799 | ||
| 996 | ‡2 SUDOC|099592614 | ||
| 996 | ‡2 ISNI|0000000497746772 | ||
| 996 | ‡2 ISNI|0000000388920479 | ||
| 996 | ‡2 SUDOC|250900815 | ||
| 996 | ‡2 ISNI|0000000095033462 | ||
| 996 | ‡2 BIBSYS|12069273 | ||
| 996 | ‡2 ISNI|0000000355983756 | ||
| 996 | ‡2 LC|nr 90003558 | ||
| 996 | ‡2 ISNI|0000000052304365 | ||
| 996 | ‡2 RERO|A003839764 | ||
| 996 | ‡2 RERO|A003839766 | ||
| 996 | ‡2 J9U|987007356822805171 | ||
| 996 | ‡2 RERO|A019234426 | ||
| 996 | ‡2 LC|no2017102453 | ||
| 996 | ‡2 J9U|987007429745805171 | ||
| 996 | ‡2 PTBNP|1616184 | ||
| 996 | ‡2 BIBSYS|90532065 | ||
| 996 | ‡2 ISNI|0000000081475649 | ||
| 996 | ‡2 LC|no2010157128 | ||
| 996 | ‡2 ISNI|0000000359804962 | ||
| 996 | ‡2 N6I|vtls001242949 | ||
| 996 | ‡2 NTA|069008981 | ||
| 996 | ‡2 NTA|067981194 | ||
| 996 | ‡2 DE633|pe30014982 | ||
| 996 | ‡2 BIBSYS|90253897 | ||
| 996 | ‡2 NUKAT|n 2012043343 | ||
| 996 | ‡2 BIBSYS|90143291 | ||
| 996 | ‡2 ISNI|0000000043722645 | ||
| 996 | ‡2 LC|nb2003009857 | ||
| 996 | ‡2 LC|no2016143728 | ||
| 996 | ‡2 NSK|000158203 | ||
| 996 | ‡2 LC|n 2015020604 | ||
| 996 | ‡2 BIBSYS|4035733 | ||
| 997 | ‡a 0 0 lived 0 0 ‡9 1 | ||
| 998 | ‡a Smith, Noah A. ‡2 ISNI|0000000355983756 ‡3 suggested | ||
| 998 | ‡a Smith, Noah Ashton ‡2 ISNI|0000000355983756 ‡3 suggested | ||
| 998 | ‡a Smith, Noah Ashton ‡2 LC|no2011117225 ‡3 suggested | ||
| 998 | ‡a Smith, ‡b Noah Ashton ‡2 PTBNP|1628695 ‡3 suggested | ||
| 998 | ‡a Smith, Noah Ashton ‡2 J9U|987007429745805171 ‡3 suggested | ||
| 998 | ‡a Smith, Noah Ashton, ‡2 SUDOC|24933156X ‡3 suggested | ||
| 998 | ‡a Smith, Noah A. ‡2 BIBSYS|12015374 ‡3 suggested ‡3 viafid |
