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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 66 1 A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge Łukasz Dębowski In: Entropy ; Volume 23 ; Issue 9 (2021) BASE Show details 2 STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE Mooney,Raymond. - 2017 BASE Show details 3 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 4 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 5 Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences Crutchfield, James P In: DTIC (2015) BASE Show details 6 A Fast Variational Approach for Learning Markov Random Field Language Models Jernite, Yacine; Rush, Alexander M; Sontag, David In: DTIC (2015) BASE Show details 7 Learning to Understand Natural Language with Less Human Effort Krishnamurthy, Jayant In: DTIC (2015) BASE Show details 8 The role of markup in the digital humanities Schmidt, Desmond In: Historical Social Research ; 37 ; 3 ; 125-146 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015) BASE Show details 9 Mandarin listeners can learn non-native lexical tones through distributional learning Ong, Jia (S31400); Burnham, Denis K. (R7357); Escudero, Paola (R16636). - : U.K., University of Glasgow, 2015 BASE Show details 10 A nonparametric Bayesian perspective for machine learning in partially-observed settings ... Akova, Ferit. - : IUPUI University Library, 2014 BASE Show details 11 A nonparametric Bayesian perspective for machine learning in partially-observed settings Akova, Ferit. - 2014 BASE Show details 12 The Negations of Conjunctions, Conditionals, and Disjunctions Khemlani, Sangeet; Orenes, Isabel; Johnson-Laird, P N In: DTIC (2014) Abstract: How do reasoners understand and formulate denials of compound assertions, such as conjunctions and disjunctions? A theory based on mental models postulates that individuals enumerate models of the various possibilities consistent with the assertions. It therefore predicts a novel interaction: in affirmations, conjunctions,A and B, which refer to one possibility, should be easier to understand than disjunctions, A or B, which refer to more than one possibility; in denials conjunctions, not (A and B), which refer to more than one possibility, should be harder to understand than disjunctions not (A or B), which do not. Conditionals are ambiguous and they should be of intermediate difficulty. Experiment 1 corroborated this trend with a task in which the participants selected which possibilities were consistent with assertions, such as: Bob denied that he wore a yellow shirt and he wore blue pants on Tuesday. Experiment 2 likewise showed that participants' own formulations of verbal denials yielded the same trend in which denials of conjunctions were harder than denials of conditionals,which in turn were harder than denials of disjunctions. ; Published in Acta Psychologica, v151 p1-7, 2014. Keyword: *EXPERIMENTAL PSYCHOLOGY; *LOGIC; *NATURAL LANGUAGE; *PERFORMANCE(HUMAN); *PSYCHOLINGUISTICS; COGNITIVE PROCESSES; CONDITIONALS; CONJUNCTIONS; DECISION MAKING; DENIALS; DISJUNCTIONS; INFORMATION PROCESSING; Linguistics; MATHEMATICAL PREDICTION; MEMORY(PSYCHOLOGY); MENTAL ABILITY; MENTAL MODELS; NEGATION; ONLINE SYSTEMS; PATTERN RECOGNITION; Psychology; REASONING; SEMANTICS; STATISTICAL INFERENCE; Statistics and Probability URL: http://www.dtic.mil/docs/citations/ADA619029 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA619029 BASE Hide details 13 What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It? Morgan, Nelson; Wegmann, Steven; Cohen, Jordan In: DTIC (2013) BASE Show details 14 Identität in Erzählung und im Erzählen: Versuch einer Bestimmung der Besonderheit des narrativen Diskurses für die sprachliche Verfassung von ldentität Bamberg, Michael In: Journal für Psychologie ; 7 ; 1 ; 43-55 (2012) BASE Show details 15 Coherent Demodulation of Nonstationary Random Processes Clark, Charles Pascal. - 2012 BASE Show details 16 Incremental Syntactic Language Models for Phrase-Based Translation Schwartz, Lane; Callison-Burch, Chris; Schuler, William... In: DTIC (2011) BASE Show details 17 Using Linguistic Knowledge in Statistical Machine Translation Zbib, Rabih M. In: DTIC (2010) BASE Show details 18 Related Entity Finding: University of Waterloo at TREC 2010 Entity Track Vechtomova, Olga In: DTIC (2010) BASE Show details 19 Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques Ge, Ruifang In: DTIC (2010) BASE Show details 20 Gibbs Sampling for the Uninitiated Resnik, Philip; Hardisty, Eric In: DTIC (2010) BASE Show details Page: 1 2 3 4

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