Results 1 to 10 of about 81,161 (318)
A language for probabilistically oblivious computation [PDF]
An oblivious computation is one that is free of direct and indirect information leaks, e.g., due to observable differences in timing and memory access patterns. This paper presents Lambda Obliv, a core language whose type system enforces obliviousness. Prior work on type-enforced oblivious computation has focused on deterministic programs. Lambda Obliv
David Darais +3 more
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Whether pitch in language and music is governed by domain-specific or domain-general cognitive mechanisms is contentiously debated. The aim of the present study was to investigate whether mechanisms governing pitch contour perception operate differently ...
Joey L. Weidema +2 more
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Exhaustification in the semantics of cause and because
We show that a single operation can account for three seemingly distinct properties of the semantics of cause and because. The properties are, firstly, their comparative nature: interpreting cause and because involves comparing what would happen in the ...
Dean Michael McHugh
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Predicting Variation of Folk Songs: A Corpus Analysis Study on the Memorability of Melodies
We present a hypothesis-driven study on the variation of melody phrases in a collection of Dutch folk songs. We investigate the variation of phrases within the folk songs through a pattern matching method which detects occurrences of these phrases within
Berit Janssen +3 more
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We present a memory-based model for context- dependent semantic parsing. Previous approaches focus on enabling the decoder to copy or modify the parse from the previous utterance, assuming there is a dependency between the current and previous parses. In
Parag Jain, Mirella Lapata
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Does telling white lies signal pro-social preferences?
The opportunity to tell a white lie (i.e., a lie that benefits another person) generates a moral conflict between two opposite moral dictates, one pushing towards telling the truth always and the other pushing towards helping others.
Laura Biziou-van-Pol +4 more
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Data-to-text Generation with Macro Planning
Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or variants thereof. These models generate text that is fluent (but often imprecise) and perform quite poorly at selecting appropriate content and ...
Ratish Puduppully, Mirella Lapata
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Team Learning of Computable Languages [PDF]
A team of learning machines is a multiset of learning machines. A team is said to learn a concept successfully if each member of some nonempty subset, of predetermined size, of the team learns the concept. Team learning of languages may be viewed as a suitable theoretical model for studying computational limits on the use of multiple heuristics in ...
Jain, S., Sharma, A.
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A tradeoff between acoustic and linguistic feature encoding in spoken language comprehension
When we comprehend language from speech, the phase of the neural response aligns with particular features of the speech input, resulting in a phenomenon referred to as neural tracking.
Filiz Tezcan +2 more
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Natural Language Semantics and Computability [PDF]
This paper is a reflexion on the computability of natural language semantics. It does not contain a new model or new results in the formal semantics of natural language: it is rather a computational analysis of the logical models and algorithms currently used in natural language semantics, defined as the mapping of a statement to logical formulas ...
Moot, Richard, Retoré, Christian
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