Most unsupervised NLP models represent each word with a single point or region in semantic space, while the existing multi-sense embeddings cannot longer sequences like phrases sentences. We propose novel embedding method for text sequence (a phrase sentence) where is represented by distinct set of multi-mode codebook to capture different facets its meaning. The can be viewed as cluster centers...

In n n nt t t tr r r ro o o od d d du u u uc c c ct t t ti i i io o o on n n n The quantization properties of the Incremental Theme argument influence the quantization properties of complex verbal predicates. The basic principle that governs this interaction, which can be stated as in (1), was discussed in chapter 3: (1) aspectual composition : An episodic verb (in a sentence denoting a single ...

This paper is concerned with two related issues in sentence processing--one methodological and one theoretical. Methodologically, it provides an unconfounded test of the ability of the cross-modal lexical priming task, when used appropriately, to provide detailed evidence about the time-course of antecedent reactivation during sentence processing. Theoretically, it provides a study of the natur...

I have elsewhere argued (Ariel, 2002) against the assumption that we can identify one literal meaning per sentence. Instead, I have suggested that there are (at least) three types of minimal meanings, each differently motivated. One implicit motivation behind the classical definition of literal meaning (Grice’s ‘what is said’) is a wish to capture the core content of sentences. I here examine d...

Infant language-learners receive input consisting of word sequences paired with world scenes. Based on these data, they start learning to understand sentences early in the second year, and ultimately build a lexicon and grammar that support broad generalization. Accounts of how they do so necessarily begin with the extra-linguistic world: The true novice, not yet knowing the words or syntax, mu...

This paper reports on the development of a system that automatically constructs representations of the meaning of sentences using rules of grammar and a dictionary of word meanings. The meanings of words and sentences are expressed using an extension of knowledge graphs, a semantic network formalism. Furthermore the system contains an algorithm that calculates an evaluation measure for alternat...

Children as young as two use sentence structure to learn the meanings of verbs. We probed the generality of sensitivity to sentence structure by moving to a different semantic and syntactic domain, spatial prepositions. Twenty-six-month-olds used sentence structure to determine whether a new word was an object-category name (This is a corp!) or a spatial-relational term (This is acorp my box!)....

The aim of this paper is to report on an attempt to design and implement an intelligent system capable of generating the correct part of speech for a given sentence while the sentence is totally new to the system and not stored in any database available to the system. It follows the same steps a normal individual does to provide the correct parts of speech using a natural language processor. It...