Fabio Rinaldi

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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)
speci cations of process type relations and con gurations of partici pants and circumstances e g nondirected action addressee oriented verbal process actor senser recipient spatio temporal causal relation generalized means CHAPTER INTRODUCTION TO THE GENERALIZED UPPERMODEL WHAT WHY ANDWH abstract speci cations of object types for e g semantic selection(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 Attempto 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)
We report the Gene Normalization (GN) challenge in BioCreative III where participating teams were asked to return a ranked list of identifiers of the genes detected in full-text articles. For training, 32 fully and 500 partially annotated articles were prepared. A total of 507 articles were selected as the test set. Due to the high annotation cost, it was(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)
In biomedical information extraction (IE), a central problem is the disambiguation of ambiguous names for domain specific entities, such as proteins, genes, etc. One important dimension of ambiguity is the organism to which the entities belong: in order to disambiguate an ambiguous entity name (e.g. a protein), it is often necessary to identify the specific(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)
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)
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)