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Suppose we want to build a system that answers a natural language question by representing its semantics as a logical form and computing the answer given a structured database of facts. The core par...
Identifying entailment relations between predicates is an important part of applied semantic inference. In this article we propose a global inference algorithm that learns such entailment rules. Fir...
Unsupervised Learning of Morphology     word  language       2015/9/9
This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme se...
Evidence of children’s sensitivity to statistical features of their input in language acquisition is often used to argue against learning mechanisms driven by innate knowledge. At the same time, evi...
We identify three components of any learning theory: the representations, the learner’s data intake, and the learning algorithm. With these in mind, we model the acquisition of the English anaphoric ...
In this article we offer up a particular linguistic phenomenon, quantifier-variable binding in Kannada ditransitives, as a proving ground upon which competing claims about learnability can be evalua...
We used event-related potentials (ERPs) to investigate the time course and distribution of brain activity while adults performed (1) a sequential learning task involving complex structured sequences...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Assuming that sequence-learning tasks provide a useful way to tap natural-language-processing mechani...
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases of two or more word...
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found in the SAT college e...
A learning theory should try to answer the following questions. What does it mean to learn? How is something learnt? How is the learnt information stored, processed and ultimately translated into the ...
Word learning is a ‘‘chicken and egg’’ problem. If a child could understand speakers’ utterances, it would be easy to learn the meanings of individual words, and once a child knows what many words m...
Psychological experiments have revealed remarkable regularities in the developmental time course of cognition. Infants generally acquire broad categorical distinctions (i.e., plant/animal) before fine...
I describe a body of work undertaken to explore the effect of experience on the perception of speech sounds. The work is undertaken within the context of my overall theoretical perspective, in which l...
The field of formal linguistics was founded on the premise that language is mentally represented as a deterministic symbolic grammar. While this approach has captured many important characteristics of...

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