Articles

In order to realize their full potential, multimodal systems need to support not just input from multiple modes, but also synchronized integration of modes. Johnston et al (1997) model this integration using a unification opera- tion over typed feature structures. This is an effective so- lution for a broad class …...

A method is presented for segmenting text into subtopic areas. The proportion of related pairwise words is calculated between adjacent windows of text to determine their lexical similarity. The lexical cohesion relations of reiteration and collocation are used to identify related words. These relations are automatically located using a combination …...

This paper describes how to construct a finite-state machine (FSM) approximating a 'unification-based' grammar using a left-corner grammar transform. The approximation is presented as a series of gram- mar transforms, and is exact for left-linear and right- linear CFGs, and for trees up to a user-specified depth of center-embedding. 1...

A lexicon is an essential component in a gener- ation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation applications. In this paper, we describe our work to build such a lexicon by combining multiple, heteroge- neous linguistic resources …...

In this paper we present results on developing ro- bust natural language interfaces by combining shal- low and partial interpretation with dialogue manage- ment. The key issue is to reduce the effort needed to adapt the knowledge sources for parsing and in- terpretation to a necessary minimum. In the paper …...

This paper describes novel results on the char- acteristics of three-party dialogues by quantita- tively comparing them with those of two-party. In previous dialogue research, two-party dia- logues are mainly focussed because data col- lection of multi-party dialogues is difficult and there are very few theories handling them, al- though …...

This paper proposes a method by which 5WlH (who, when, where, what, why, how, and predicate) infor- mation is used to classify and navigate Japanese- language texts. 5WlH information, extracted from text data, has an access platform with three func- tions: episodic retrieval, multi-dimensional classi- fication, and overall classification. In …...

After extracting terms from a corpus of titles and abstracts in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of syntactic variations were studied : permutation, expansion and substitution. These syntactic variations yield other relations of formal and conceptual nature. Basing on …...

We present an empirical study of the applica- bility of Probabilistic Lexicalized Tree Inser- tion Grammars (PLTIG), a lexicalized counter- part to Probabilistic Context-Free Grammars (PCFG), to problems in stochastic natural- language processing. Comparing the perfor- mance of PLTIGs with non-hierarchical N-gram models and PCFGs, we show that PLTIG com- …...

In this paper, we study the problem of combining a Chinese thesaurus with a Chinese dictionary by linking the word entries in the thesaurus with the word senses in the dictionary, and propose a similar word strategy to solve the problem. The method is based on the definitions given in …...

Traditional accounts of quantifier scope em- ploy qualitative constraints or rules to account for scoping preferences. This paper outlines a feature-based parsing algorithm for a gram- mar with multiple simultaneous levels of repre- sentation, one of which corresponds to a par- tial ordering among quantifiers according to scope. The optimal …...

We demonstrate the feasibility of using unary primes in speech-driven language processing. Proponents of Government Phonology (one of several phonological frameworks in which speech segments are represented as combinations of relatively few subsegmental primes) claim that primes are acoustically realisable. This claim is examined critically searching out signatures for primes …...

The multiplicative fragment of linear logic has found a number of applications in computa- tional linguistics: in the "glue language" ap- proach to LFG semantics, and in the formu- lation and parsing of various categorial gram- mars. These applications call for efficient de- duction methods. Although a number of de- …...

We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn generalizations over syntactic constituents, thereby addressing the sparse data problems of previous connectionist ar- chitectures. We apply these Simple Synchrony …...

Resource adaptlvity" Because the sets of struc- Natural language parsing is conceived to be a pro- cedure of disambiguation, which successively re- duces an initially totally ambiguous structural rep- resentation towards a single interpretation. Graded constraints are used as means to express well- formedness conditions of different strength and to …...

One of the major problems when translating from Japanese into a European language such as German or English is to determine definiteness of noun phrases in order to choose the correct determiner in the target language. Even though in Japanese, noun phrase reference is said to de- pend in large …...

This paper describes novel and practical Japanese parsers that uses decision trees. First, we con- struct a single decision tree to estimate modifica- tion probabilities; how one phrase tends to modify another. Next, we introduce a boosting algorithm in which several decision trees are constructed and then combined for probability …...

This paper reports the results of a preliminary experiment on the detection of semantic vari- ants of terms in a French technical document. The general goal of our work is to help the struc- turation of terminologies. Two kinds of seman- tic variants can be found in traditional termi- nologies …...

In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the best indi- vidual system. We do this by means of an ex- periment involving the task of morpho-syntactic wordclass tagging. …...

We introduce an approach to the automatic ac- quisition of new concepts fi'om natural language texts which is tightly integrated with the under- lying text understanding process. The learning model is centered around the 'quality' of differ- ent forms of linguistic and conceptual evidence which underlies the incremental generation and …...