Tags » Wordnet

The borders of ambiguity

Working on ULM-1: dr. Rubén Izquierdo Beviá & Marten Postma, MA.

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Explanation of their specific projects/approaches.

Natural Language Understanding

WordNet- Short Description

Because meaningful sentences are composed of meaningful words, any system that hopes to process natural languages as people do must have information about words and their meanings. 558 more words

Natural Language Processing

The borders of ambiguity

ULM-1 will explore the closed world of language as a system of word relations. The goal is to more properly define the problem and find the optimal solution given the vast volumes of textual data that are available. 811 more words

Natural Language Understanding

Word, concept, perception and brain

ULM-2 will cross the borders of language and relate words and their meanings to perceptual data and brain activation patterns.

Whereas the previous project deals with relations between words, in this project we study the relation between words and the extralinguistic world. 1,477 more words

Natural Language Understanding

Stories and world views as a key to understanding language

ULM-3 will consider the interpretation of text built up from words as a function of our ways of interacting with the changing world around us. We interpret changes from our world-views on the here and now and the future. 612 more words

Natural Language Understanding

A quantum model of text understanding

ULM-4 is a technical project that investigates a new model of natural-language-processing. Current approaches are based on a pipeline architecture, in which the complete problem is divided in a series of smaller isolated tasks, e.g. 717 more words

Natural Language Understanding

DETECTION OF MULTIWORD FROM A WORDNET IS COMPLEX

Multiword detection is very difficult task in Language Processing. There has been a great change in the field of Natural Language
Processing. Manual encoding of linguistic information is being challenged by automated corpus based learning methodologies for… 101 more words