this paper we will discuss some of the problems which have arisen in the development of parsers, and present a new theory of the way parsing works in the normal reading process. We will describe a program which implements this theory and understands newspaper stories about terrorism

In this paper we analyse how noise can affect Knowledge Acquisition from a Machine Learning perspective. We present some methods to detect and treat noise that goes beyond modulating numerical coefficients and show that noise cannot be viewed as a single entity. There are several different types of noise and noise is not only wrong information. I.

Here we address the problem of mapping phrase meanings into their conceptual representations. Figurative phrases are pervasive in human communication, yet they are difficult to explain theoretically. In fact, the ability to handle idiosyncratic behavior of phrases should be a criterion for any theory of lexical representation. Due to the huge number of such phrases in the English language, phrase representation must be amenable to parsing, generation, and also to learning. In this paper we demonstrate a semantic representation which facilitates, for a wide variety of phrases, both learning and parsing.