Articles

We show how a treebank can be used to cluster words on the basis of their syntac- tic behavior. The resulting clusters repre- sent distinct types of behavior with much more precision than parts of speech. As an example we show how prepositions can be automatically subdivided by their syntac- …...

Information extraction systems process natural language documents and locate a specific set of relevant items. Given the recent success of empirical or corpus- based approaches in other areas of natu- ral language processing, machine learning has the potential to significantly aid the development of these knowledge-intensive systems. This paper presents …...

Statistical classification methods usually rely on a single best model to make ac- curate predictions. Such a model aims to maximize accuracy by balancing precision and recall. The Model Switching method as presented in this paper performs with higher predictive accuracy and 100% recall by using a set of decomposable …...

Statistical models of word-sense disam- biguation are often based on a small num- ber of contextual features or on a model that is assumed to characterize the inter- actions among a set of features. Model selection is presented as an alternative to these approaches, where a sequential search of possible …...

It is widely accepted that tagging text with se- mantic information would improve the quality of lexical learning in corpus-based NLP methods. However available on-line taxonomies are rather entangled and introduce an unnecessary level of ambiguity. The noise produced by the re- dundant number of tags often overrides the ad- …...

This paper proposes a novel method of learning probabilistic subcategorization preference. In the method, for the purpose of coping with the ambi- guities of case dependencies and noun class gen- eralization of argument/adjunct nouns, we intro- duce a data structure which represents a tuple of independent partial subcategorization frames. Each …...

In this paper we report on a set of compu- tational tools with (n)SGML pipeline data flow for uncovering internal structure in natural language texts. The main idea be- hind the workbench is the independence of the text representation and text analysis phases. At the representation phase the text is …...

Historically, tailoring language processing systems to specific domains and languages for which they were not originally built has required a great deal of effort. Recent advances in corpus-based manual and automatic training methods have shown promise in reducing the time and cost of this porting process. These developments have focused …...

We investigate the utility of an algo- rithm for translation lexicon acquisition (SABLE), used previously on a very large corpus to acquire general translation lexi- cons, when that algorithm is applied to a much smaller corpus to produce candidates for domain-specific translation lexicons. 1...

In this paper, we describe our multilingual (or cross-linguistic) information browsing and retrieval system, which is aimed at monolingual users who are interested in in- formation from multiple language sources. The system takes advantage of information extraction (IE) technology in novel ways to improve the accuracy of cross-linguistic retrieval and …...

We present an interactive translation method to support non-professional users to write an original document. The method, combining dictionary lookup func- tion and user-guided stepwise interactive machine translation, allows the user to ob- tain clear result with an easy operation. We implemented the method as an English writing support facility …...

Information Retrieval (IR) is an important application area of Natural Language Pro- cessing (NLP) where one encounters the genuine challenge of processing large quan- tities of unrestricted natural language text. While much effort has been made to apply NLP techniques to IR, very few NLP tech- niques have been evaluated …...

This paper describes the design and imple- mentation of an English-Turkish machine translation (MT) system developed as a part of the TU-Language project supported by a NATO Science for Stability Project grant. The system uses a structural trans- fer approach in translating the domain of IBM computer manuals. The general …...

This paper presents a prototype system for key term manipulation and visualization in a real-world commercial environment. The system consists of two components. A preprocessor generates a set of key terms from a text dataset which represents a specific topic. The generated key terms are orga- nized in a hierarchical …...

In this paper we report on our natural language informa- tion retrieval (NLIR) project as related to the recently concluded 5th Text Retrieval Conference (TREC-5). The main thrust of this project is to use natural language processing techniques to enhance the effectiveness of full-text document retrieval. One of our goals …...

In this paper, we propose a method for ex- tracting key paragraphs in articles based on the degree of context dependency. Like Luhn's technique, our method assumes that the words related to theme in an arti- cle appear throughout paragraphs. Our ex- traction technique of keywords is based on the …...

This paper addresses the problem of iden- tifying likely topics of texts by their posi- tion in the text. It describes the automated training and evaluation of an Optimal Posi- tion Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure. This …...

This paper identifies issues for language generation that arose in developing a multimedia interface to healthcare data that includes coordinated speech, text and graphics. In order to produce brief speech for time-pressured caregivers, the system both combines related informa- tion into a single sentence and uses ab- breviated references in …...

A multilingual Internet-based employment advertisement system is described. Job ads are submitted as e-mail texts, analysed by an example-based pattern matcher and stored in language-independent schemas in an object-oriented database. Users can search the database in their own language and get customized summaries of the job ads. The query engine …...

CogentHelp is a prototype tool for au- thoring dynamically generated on-line help for applications with graphical user inter- faces, embodying the "evolution-friendly" properties of tools in the literate program- ming tradition. In this paper, we describe CogentHelp, highlighting the usefulness of certain natural language generation tech- niques in supporting software-engineering …...