Theoretical Issues in Natural Language Processing

Lexical Issues in Natural Language Processing Lexical Issues in Natural Language Processing

Introduction: Cognitive Issues in Natural Language Processing

From the very beginning, pioneers in computer sciences have tried to establish a link between practical issues and more fundamental ones, like language processing in the brain, knowledge representation or the nature of communication. Modeling language was supposed to open a window on the brain, or at least give an idea of how things can be processed by the brain. The famous Turing Test (?; ?) i...

Foundational Issues in Natural Language Processing: Introduction

Citation Sells, Peter, Stuart M. Shieber, and Thomas Wasow. 1991. Foundational Issues in Natural Language Processing: Introduction. In Foundational Issues in Natural Language Processing: Introduction, ed. Peter Sells, Stuart M. Shieber, and Thomas Wasaw. System Development Foundation Benchmark Series. Cambridge: MIT Press. Introduction reprinted in Carlos P. Otero, ed., Noam Chomsky. 1994. Crit...

Theoretical/Technical Issues in Natural Language Access to Databases

In responding to the guidelines established by the session chairman of this panel, three of the five topics he set forth will be discussed. These include aggregate functions and quantity questions, querying semantically complex fields, and multi-file queries. As we will make clear in the sequel, the transformational apparatus utilized in the TQA Question Answering System provides a principled b...

Towards Understanding Theoretical Developments in Natural Language Processing

Natural Language Processing (NLP) is that field of computer science which consists of interfacing computer representations of information with natural languages used by humans. It examines the use of computers in understanding and manipulating the natural language text and speech. The main aim of the researchers in this field is to collect the necessary details about how natural languages are b...