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This document describes the latest version of the Generalized Upper Model, a general task and domain independentìinguistically motivated ontology' that supports sophisticated natural language processing while signiicantly simplifying the interface between domain-speciic knowledge and general linguistic resources. We also expect the proposed ontology to(More)
A vast amount of scientific information is encoded in natural language text, and the quantity of such text has become so great that it is no longer economically feasible to have a human as the first step in the search process. Natural language processing and text mining tools have become essential to facilitate the search for and extraction of information(More)
This paper presents a three-level structuring of multiword terms (MWTs) basing on lexical inclusion, WordNet similarity and a clustering approach. Term clustering by automatic data analysis methods offers an interesting way of organizing a domain's knowledge structures, useful for several information-oriented tasks like science and technology watch,(More)
INTRODUCTION In this paper, we describe the system used by the UMIST team as members of the FACILE consortium, to undertake the NE task in MUC-7. The main characteristics of this system employed are as follows: it is rule-based its rule formalism supports context-sensitive partial parsing rules may use pattern-matching-style iteration operators the notation(More)
In this paper we describe current efforts aimed at adapting an existing Question Answering system to a new document set, namely research papers in the genomics domain. The system has been originally developed for another restricted domain, however it has already proved its portability. Nevertheless, the process is not painless, and the specific purpose of(More)
Attempto Controlled English (ACE) is a knowledge representation language with an English syntax. Thus ACE can be used by anyone, even without being familiar with formal notations. The At-tempto Parsing Engine translates ACE texts into discourse representation structures, a variant of first-order logic. Hence, ACE turns out to be a logic language equivalent(More)
OBJECTIVE The amount of new discoveries (as published in the scientific literature) in the biomedical area is growing at an exponential rate. This growth makes it very difficult to filter the most relevant results, and thus the extraction of the core information becomes very expensive. Therefore, there is a growing interest in text processing approaches(More)
BACKGROUND The biomedical domain is witnessing a rapid growth of the amount of published scientific results, which makes it increasingly difficult to filter the core information. There is a real need for support tools that 'digest' the published results and extract the most important information. RESULTS We describe and evaluate an environment supporting(More)
We present a Question Answering system for technical domains which makes an intelligent use of paraphrases to increase the likelihood of finding the answer to the user's question. The system implements a simple and efficient logic representation of questions and answers that maps paraphrases to the same underlying semantic representation. Further,(More)