Despite significant investments in the normalization and standardization of Electronic Health Records (EHRs), free text is still rule rather than exception clinical notes. The use has implications data reuse methods used for supporting research since query mechanisms cohort definition patient matching are mainly based on structured terminologies. This study aims to develop a method secondary by: (a) using Natural Language Processing (NLP) tagging notes with biomedical terminology; (b)...

Emotions are central to understanding contemporary journalism; however, they overlooked in automatic news summarization. Actually, summaries an entry point the source article that could favor some emotions captivate reader. Nevertheless, emotional content of summarization corpora and behavior models still unexplored. In this work, we explore usage established methodologies study models. Using these methodologies, two widely used corpora: Cnn/Dailymail Xsum, capabilities three...

We present an approach for the development of Language Understanding systems from a Transduction point view. describe use two types automatically inferred transducers as appropriate models understanding phase in dialog systems.

In this article, we present an approach to the development of a stochastic dialog manager. The model used by manager generate its turns takes into account both last user and system, information supplied throughout dialog. As space situations that can be presented in dialogs is too large, some techniques for reducing have been proposed. This system has developed DIHANA project, whose goal design access railway using spontaneous speech Spanish. A training corpus 900 dialogs, was acquired...

We are interested in the problem of learning Spoken Language Understanding (SLU) models for multiple target languages.Learning such requires annotated corpora, and porting to different languages would require corpora with parallel text translation semantic annotations.In this paper we investigate how learn a SLU model language starting from no annotation.Our proposed algorithm is based on idea exploiting diversity (with regard performance coverage) systems transfer statistically stable...

Question answering (QA) is probably one of the most challenging tasks in field natural language processing. It requires search engines that are capable extracting concise, precise fragments text contain an answer to a question posed by user. The incorporation voice interfaces QA systems adds more and very appealing perspective for these systems. This paper provides comprehensive description current state-of-the-art voice-activated Finally, scenarios will emerge from introduction speech...

In this paper, we present an approach to spoken dialog management based on the use of a Stochastic Finite-State Transducer estimated from corpus. The states represent states, input alphabet includes all possible user utterances, without considering specific values, and set system answers constitutes output alphabet. Then, describes path in transducer model initial state final one. An automatic generation technique was used order generate corpus which parameters are estimated. Our proposal...

This work is partially supported by the Spanish MICINN under contract TIN2011-28169-C05-01.

In this paper, we present an extractive approach to document summarization based on Siamese Neural Networks. Specifically, propose the use of Hierarchical Attention Networks select most relevant sentences a text make its summary. We train using document-summa ry pairs determine whether summary is appropriated for or not. By means sentence-level attention mechanism in can be identified. Hence, once network trained, it used generate summaries. The experimentation carried out CNN/DailyMail...

Recently, a new methodology, referred to as “Morphic Generator Grammatical Inference” (MGGI), has been introduced step towards general methodology for the inference of regular languages. In this paper we consider application real problem automatic speech recognition, thus allowing (and also requiring) proposed be properly formulated within canonical framework syntactic pattern recognition. The results show both viability and appropriateness MGGI considered.

In this article, we present an approach for the construction of a stochastic dialog manager, in which system answer is selected by means classification procedure. particular, use neural networks implementation process, takes into account data supplied user and last turn. The model automatically learnt from training are labeled terms acts. An important characteristic introduction partition space sequences acts order to deal with scarcity available data. This has been developed DIHANA project,...

Most of the models proposed in literature for abstractive summarization are generally suitable English language but not other languages. Multilingual were introduced to address that constraint, despite their applicability being broader than monolingual models, performance is typically lower, especially minority languages like Catalan. In this paper, we present a model textual content Catalan language. The Transformer encoder-decoder which pretrained and fine-tuned specifically using corpus...

In this work, a general theoretical framework for extractive summarization is proposed—the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text today, methods can be especially suitable some applications, and they help with other tasks such as Text Classification, Question Answering, Information Extraction. The proposed approach based on the interpretation of attention mechanisms hierarchical neural networks, which compute document-level...

In this paper we propose an algorithm to learn statistical language understanding models from a corpus of unaligned pairs sentences and their corresponding semantic representation. Specifically, it allows automatically map variablelength word segments with units thus, the decoding user utterances meanings. way avoid time consuming work manually associate labels words, process which is needed by almost all corpus-based approaches. We use component Spoken Dialog System for railway information...