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Autonomous systems require the ability to plan effective courses of action under potentially uncertain or unpredictable contingencies. Planning requires knowledge of the environment that is accurate enough to allow reasoning about actions. If the environment is too complex or very dynamic, goal-driven learning with reactive feedback becomes a necessity.(More)
The aim of this work is to infer a model able to extract cause-effect relations between drugs and diseases. A two-level system is proposed. The first level carries out a shallow analysis of Electronic Health Records (EHRs) in order to identify medical concepts such as drug brand-names, substances, diseases, etc. Next, all the combination pairs formed by a(More)
Understanding the processes that drive the evolution of snake venom is a topic of great research interest in molecular and evolutionary toxinology. Recent studies suggest that ontogenetic changes in venom composition are genetically controlled rather than environmentally induced. However, the molecular mechanisms underlying these changes remain elusive.(More)
Stochastic finite-state transducers constitute a type of word-based models that allow an easy integration with acoustic model for speech translation. The aim of this work is to develop a novel approach to phrase-based statistical finite-state transducers. In this work, we explore the use of linguistically motivated phrases to build phrase-based models. The(More)
This paper presents an annotation tool that detects entities in the biomedical domain. By enriching the lexica of the Freeling analyzer with bio-medical terms extracted from dictionaries and ontologies as SNOMED CT, the system is able to automatically detect medical terms in texts. An evaluation has been performed against a manually tagged corpus focusing(More)
The classical approach to tackle speech translation assembles a text-to-text translation system placed after a speech recog-niser, yielding the so-called decoupled architecture. In this regard, there are two issues to bear in mind: first, what is translated in the decoupled architecture is the most likely transcription of the spoken utterance ; second,(More)
This paper evaluates different approaches on speech to sign language machine translation. The framework of the application focuses on assisting deaf people to apply for the passport or related information. In this context, the main aim is to automatically translate the spontaneous speech, uttered by an officer, into Spanish Sign Language (SSL). In order to(More)
This paper presents an application of finite-state transducers to the domain of medicine. The objective is to assign disease codes to each Diagnostic Term in the medical records generated by the Basque Health Hospital System. As a starting point, a set of manually coded medical records were collected in order to code new medical records on the basis of this(More)