Improvising Linguistic Style: Social and Affective Bases for Agent PersonalityThis paper introduces Linguistic Style Improvisation, a theory and set of algorithms for improvisation of spoken utterances by artificial agents, with applications to interactive story and dialogue…Marilyn A. Walker, Janet E. Cahn, Stephen J. Whittaker·Feb 26, 1997SaveLearn
Building a Generation Knowledge Source using Internet-Accessible NewswireIn this paper, we describe a method for automatic creation of a knowledge source for text generation using information extraction over the Internet. We present a prototype system called PROFILE which…Dragomir R. Radev, Kathleen R. McKeown·Feb 25, 1997SaveLearn
Knowledge Acquisition for Content SelectionAn important part of building a natural-language generation (NLG) system is knowledge acquisition, that is deciding on the specific schemas, plans, grammar rules, and so forth that should be used in…Ehud Reiter, Alison Cawsey, Liesl Osman et al.·Feb 24, 1997SaveLearn
Design and Implementation of a Computational Lexicon for TurkishAll natural language processing systems (such as parsers, generators, taggers) need to have access to a lexicon about the words in the language. This thesis presents a lexicon architecture for…Abdullah Kurtulus Yorulmaz·Feb 19, 1997SaveLearn
How much has information technology contributed to linguistics?Information technology should have much to offer linguistics, not only through the opportunities offered by large-scale data analysis and the stimulus to develop formal computational models, but…Karen Sparck Jones·Feb 17, 1997SaveLearn
Selective Sampling of Effective Example Sentence Sets for Word Sense DisambiguationThis paper proposes an efficient example selection method for example-based word sense disambiguation systems. To construct a practical size database, a considerable overhead for manual sense…Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga et al.·Feb 17, 1997SaveLearn
Fast Statistical Parsing of Noun Phrases for Document IndexingInformation Retrieval (IR) is an important application area of Natural Language Processing (NLP) where one encounters the genuine challenge of processing large quantities of unrestricted natural…Chengxiang Zhai·Feb 12, 1997SaveLearn
Sequential Model Selection for Word Sense DisambiguationStatistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set of features. Model…Ted Pedersen, Rebecca Bruce, Janyce Wiebe·Feb 12, 1997SaveLearn
Natural Language Dialogue Service for Appointment Scheduling AgentsAppointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to extend the circle of…Stephan Busemann, Thierry Declerck, Abdel Kader Diagne et al.·Feb 11, 1997SaveLearn
Information Extraction - A User GuideThis technical memo describes Information Extraction from the point-of-view of a potential user of the technology. No knowledge of language processing is assumed. Information Extraction is a process…Hamish Cunningham·Feb 10, 1997SaveLearn
Software Infrastructure for Natural Language ProcessingWe classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP…Hamish Cunningham, Kevin Humphreys, Robert Gaizauskas et al.·Feb 10, 1997SaveLearn
An Annotation Scheme for Free Word Order LanguagesWe describe an annotation scheme and a tool developed for creating linguistically annotated corpora for non-configurational languages. Since the requirements for such a formalism differ from those…Wojciech Skut, Brigitte Krenn, Thorsten Brants et al.·Feb 10, 1997SaveLearn
A Robust Text Processing Technique Applied to Lexical Error RecoveryThis thesis addresses automatic lexical error recovery and tokenization of corrupt text input. We propose a technique that can automatically correct misspellings, segmentation errors and real-word…Peter Ingels·Feb 5, 1997SaveLearn
Automatic Extraction of Subcategorization from CorporaWe describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative frequency of occurrence of a…Ted Briscoe, John Carroll·Feb 4, 1997SaveLearn
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural NetworksIn this paper, we describe a so-called screening approach for learning robust processing of spontaneously spoken language. A screening approach is a flat analysis which uses shallow sequences of…Stefan Wermter, Volker Weber·Feb 3, 1997SaveLearn
An Efficient Implementation of the Head-Corner ParserThis paper describes an efficient and robust implementation of a bi-directional, head-driven parser for constraint-based grammars. This parser is developed for the OVIS system: a Dutch spoken…Gertjan van Noord·Jan 17, 1997SaveLearn
Generating Information-Sharing Subdialogues in Expert-User ConsultationIn expert-consultation dialogues, it is inevitable that an agent will at times have insufficient information to determine whether to accept or reject a proposal by the other agent. This results in…Jennifer Chu-Carroll, Sandra Carberry·Jan 6, 1997SaveLearn
Hybrid language processing in the Spoken Language TranslatorThe paper presents an overview of the Spoken Language Translator (SLT) system's hybrid language-processing architecture, focussing on the way in which rule-based and statistical methods are…Manny Rayner, David Carter·Jan 2, 1997SaveLearn
Exploiting Context to Identify Lexical Atoms -- A Statistical View of Linguistic ContextInterpretation of natural language is inherently context-sensitive. Most words in natural language are ambiguous and their meanings are heavily dependent on the linguistic context in which they are…Chengxiang Zhai·Jan 2, 1997SaveLearn
Maximum Entropy Modeling ToolkitThe Maximum Entropy Modeling Toolkit supports parameter estimation and prediction for statistical language models in the maximum entropy framework. The maximum entropy framework provides a…Eric Sven Ristad·Dec 31, 1996SaveLearn
Dialogos: a Robust System for Human-Machine Spoken Dialogue on the TelephoneThis paper presents Dialogos, a real-time system for human-machine spoken dialogue on the telephone in task-oriented domains. The system has been tested in a large trial with inexperienced users and…Dario Albesano, Paolo Baggia, Morena Danieli et al.·Dec 20, 1996SaveLearn
Metrics for Evaluating Dialogue Strategies in a Spoken Language SystemIn this paper, we describe a set of metrics for the evaluation of different dialogue management strategies in an implemented real-time spoken language system. The set of metrics we propose offers…Morena Danieli, Elisabetta Gerbino·Dec 17, 1996SaveLearn
Specialized Language Models using Dialogue PredictionsThis paper analyses language modeling in spoken dialogue systems for accessing a database. The use of several language models obtained by exploiting dialogue predictions gives better results than the…Cosmin Popovici, Paolo Baggia·Dec 12, 1996SaveLearn
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine LearningThis paper describes an experimental comparison of seven different learning algorithms on the problem of learning to disambiguate the meaning of a word from context. The algorithms tested include…Raymond J. Mooney·Dec 9, 1996SaveLearn
A Framework for Natural Language Interfaces to Temporal DatabasesOver the past thirty years, there has been considerable progress in the design of natural language interfaces to databases. Most of this work has concerned snapshot databases, in which there are only…I. Androutsopoulos, G. D. Ritchie, P. Thanisch·Nov 25, 1996SaveLearn