- The Oxford Handbook of Computational Linguistics
- Pragmatics and Dialogue
- Formal Grammars and Languages
- Text Segmentation
- Part-of-Speech Tagging
- Word-Sense Disambiguation
- Anaphora Resolution
- Natural Language Generation
- Speech Recognition
- Text-to-Speech Synthesis
- Finite-State Technology
- Statistical Methods
- Machine Learning
- Lexical Knowledge Acquisition
- Sublanguages and Controlled Languages
- Corpus Linguistics
- Tree-Adjoining Grammars
- Machine Translation: General Overview
- Machine Translation: Latest Developments
- Information Retrieval
- Information Extraction
- Question Answering
- Text Summarization
- Term Extraction and Automatic Indexing
- Text Data Mining
- Natural Language Interaction
- Natural Language in Multimodal and Multimedia Systems
- Natural Language Processing in Computer-Assisted Language Learning
- Multilingual On-Line Natural Language Processing
- Notes on Contributors
- Index of Authors
- Subject Index
Abstract and Keywords
This article introduces natural language interaction (NLI) systems. NLI systems are systems that allow their users to formulate requests in spoken or written natural language. This article highlights the central concepts of natural language interaction systems. NLI systems refer to applications where users can formulate requests addressed to a computer in natural language. Database querying constitutes the most studied form of NLIs. Database NLIs allow information to be retrieved from an underlying database by typing single-sentence queries. This article draws attention to the basic components of an NLI system and gives an overview of spoken dialogue systems (SDS). Apart from giving information about the several applications where NLIs and SDS are being explored, this article concludes with a discussion of more ambitious forms of natural language interaction that may become possible in the longer term.
Ion Androutsopoulos is a Lecturer in the Department of Informatics at the Athens University of Economics and Business, Greece. He has worked as a researcher at the Greek National Centre for Scientific Research “Demkritos” and at Macquarie University, Australia. He holds a Ph.D. in Artificial Intelligence from the University of Edinburgh. His current research interests include question answering, natural language generation, document categorisation, information extraction, and machine learning in Natural Language Processing. He is the author of Exploring Time, Tense and Aspect in Natural Language Database Interfaces (John Benjamins, 2002).
Maria Aretoulaki is an acknowledged expert on language processing (automatic content selection, automatic text summarisIan voice platform provider). She is Member of the IEEE Neural Networks RIG and the ACL SIGs on Natural Language Learning (SIGNLL) and Dialogue (SIGDial). She has served as an Advisory Committee Member for EU projects (MATE, DISC) and has reviewed and authored several scientific publications for international conferences and publishing houses.
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