Articles

In this paper we propose computer- aided summarisation (CAS) as an alternative approach to automatic summarisation, and present an ongoing project which aims to develop a CAS system. The need for such an alternative approach is justified by the relatively poor performance of fully automatic methods used in summarisation. Our …...

Even though the question answering (QA) field appeared only in recent years, there are systems for English which obtain good results for open- domain questions. The situation is very different for other languages, mainly due to the lack of NLP resources which are normally used by QA systems. In this …...

The paper discusses the corpora manage- ment system (CMS) design that uses Java and Oracle9i DBMS to support strategic corpora analysis. We present the pilot web- based CMS to support linguists in their daily work. The system offers facilities to assist linguists and internet users as they search for relevant …...

This paper describes the NECA MNLG; a fully implemented Multimodal Natu- ral Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues be- tween animated agents. The genera- tion module supports the seamless inte- gration of full grammar rules, templates and canned text. The …...

In this paper, we describe a method for automatic acquisition of script knowl- edge from a Japanese text collection. Script knowledge represents a typical sequence of actions that occur in a particular situation. We extracted se- quences (pairs) of actions occurring in time order from a Japanese text collec- tion …...

The main aim of this project is to ex- plore, develop and evaluate the contri- bution of language technologies to the development of WEBCOOP, a system that provides intelligent Cooperative re- sponses to Web queries. Such a sys- tem requires the integration of knowl- edge representation and the use of …...

We describe experiments with a Naive Bayes text classifier in the context of anti- spam E-mail filtering, using two different statistical event models: a mul- ti-variate Bernoulli model and a multi- nomial model. We introduce a family of feature ranking functions for feature se- lection in the multinomial event model …...

In this paper we introduce a dynamic programming algorithm to perform lin- ear text segmentation by global mini- mization of a segmentation cost function which consists of: (a) within-segment word similarity and (b) prior informa- tion about segment length. The eval- uation of the segmentation accuracy of the algorithm on …...

Our goal is to improve the contextual appropriateness of spoken output in a dialogue system. We explore the use of the information state to determine the information structure of system utter- ances. We concentrate on the realiza- tion of information structure by into- nation. We present the results of eval- …...

Topological Dependency Grammar (TDG) is a lexicalized dependency grammar formalism, able to model lan- guages with a relatively free word order. In such languages, word order variation often has an important function: the realization of information structure. The paper discusses how to integrate information structure into TDG, and presents a …...

To investigate the contributions of tag- gers or chunkers to the performance of a deep syntactic parser, Weighted Constraint Dependency Grammars have been extended to also take into con- sideration information from external sources. Using a weak information fu- sion scheme based on constraint opti- mization techniques, a parsing accuracy …...

We explore learning prepositional- phrase attachment in Dutch, to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a govern- ing verb or noun. Using cross-validated parameter and feature selection, we train two …...

In this paper we present some lessons learned from building viz s la, the keyword search and topic classification system used on the largest Hungarian portal, [ origo .hu]. Based on a sim- ple statistical language model, and the large-scale supporting evidence from vizsla, we argue that in topic classi- …...

We present a method for computer- assisted authorship attribution based on character-level n-gram language mod- els. Our approach is based on sim- ple information theoretic principles, and achieves improved performance across a variety of languages without requir- ing extensive pre-processing or feature selection. To demonstrate the effec- tiveness and language …...

SMT systems rely on sufficient amount of parallel corpora to train the trans- lation model. This paper investigates possibilities to use word-to-word and phrase-to-phrase translations extracted not only from clean parallel corpora but also from noisy comparable corpora. Translation results for a Chinese to En- glish translation task are given. …...

This paper reports the latest performance of com- ponents and features of a project named Corpus- Centered Computation (C'3), which targets a trans- lation technology suitable for spoken language translation. C3 places corpora at the center of the technology. Translation knowledge is extracted from corpora by both EBMT and SMT …...

This research note describes the early stages of a project to enhance a monolingual English dictionary database as a resource for computational applications. It consid- ers some of the issues involved in deriving formal lexi- cal data from a natural-language dictionary. 1...

This paper describes a novel approach to generate potential foreign-accented pho- netic transcriptions using phonological re- write rules. For each pair of a native lan- guage (Li) and a target language (L2), a set of postlexical rules is designed to trans- form canonical phonetic dictionaries of L2 into adapted dictionaries …...

The aim of this paper is to show how large-scale (computational) gram- mars of natural language benefit from an organization of semantics which is based on Minimal Recursion Semantics (MRS; Copestake et al. (1999)). This we are doing by providing an account of valence alternations in German based on MRS, …...

This paper presents the first Slovenian- German and German-Slovenian online dictionary and contains evaluation fig- ures for its Slovenian part. Evaluations are based on coverage of a Slovenian newspaper corpus as well as on user queries. 1...