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Moreno J.,Charles III University of Madrid | Garrote M.,Charles III University of Madrid | Martinez P.,Charles III University of Madrid | Martinez-Fernandez J.L.,DAEDALUS - Data, Decisions and Language
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

This paper describes some tests performed on different types of voice/audio input applying three commercial speech recognition tools. Three multimedia retrieval scenarios are considered: a question answering system, an automatic transcription of audio from video files and a real-time captioning system used in the classroom for deaf students. A software tool, RET (Recognition Evaluation Tool), has been developed to test the output of commercial ASR systems. © 2011 Springer-Verlag Berlin Heidelberg. Source


Gonzalez M.,Charles III University of Madrid | Moreno J.,Charles III University of Madrid | Martinez J.L.,DAEDALUS - Data, Decisions and Language | Martinez P.,Charles III University of Madrid
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Automatic speech recognition technology can be integrated in an information retrieval process to allow searching on multimedia contents. But, in order to assure an adequate retrieval performance is necessary to state the quality of the recognition phase, especially in speaker-independent and domainindependent environments. This paper introduces a methodology to accomplish the evaluation of different speech recognition systems in several scenarios considering also the creation of new corpora of different types (broadcast news, interviews, etc.), especially in other languages apart from English that are not widely addressed in speech community. © 2013 Springer-Verlag Berlin Heidelberg. Source


Martinez P.,Charles III University of Madrid | Segura I.,Charles III University of Madrid | Declerck T.,German Research Center for Artificial Intelligence | Martinez J.L.,DAEDALUS - Data, Decisions and Language
Procesamiento de Lenguaje Natural | Year: 2014

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has led to challenges of how to access and interpret the strongly multilingual data, in a timely, efficient, and affordable manner. The goal of this project is to deliver innovative, portable open-source real-time methods for cross-lingual mining and summarization of large-scale stream media. Results are validated in three high-profile case studies: financial decision support (with analysts, traders, regulators, and economists), political analysis and monitoring (with politicians, economists, and political journalists) and monitoring patient postings in the health domain to detect adverse drug reactions. © 2014 Sociedad Española para el Procesamiento del Lenguaje Natural. Source


Schneider J.M.,Charles III University of Madrid | Declerck T.,German Research Center for Artificial Intelligence | Fernandez J.L.M.,DAEDALUS - Data, Decisions and Language | Fernandez P.M.,Charles III University of Madrid
Procesamiento de Lenguaje Natural | Year: 2013

This paper explains the application of ontologies in financial domains to a query expansion process. The final goal is to improve financial information retrieval effectiveness. The system is composed of an ontology and a Lucene index that stores and retrieves natural language concepts. An initial evaluation with a limited number of queries has been performed. Obtained results show that ambiguity remains a problem when expanding a query. The filtering of entities in the expansion process by selecting only companies or references to markets helps in the reduction of ambiguity. © 2013 Sociedad Española Para el Procesamiento del Lenguaje Natural. Source


Trademark
DAEDALUS - Data, Decisions and Language | Date: 2015-05-01

Computer software for use in topics extraction, text classification, sentiment analysis, text proofreading, lemmatization, parsing, language identification, text clustering and corporate reputation analysis; Computer applications software for personal computers, mobile phones, handheld computers, tablets, namely, software for use in topics extraction, text classification, sentiment analysis, text proofreading, lemmatization, parsing, language identification, text clustering and corporate reputation analysis; Application programs, namely, computer applications software for personal computers, mobile phones, handheld computers, tablets, namely, software for use in topics extraction, text classification, sentiment analysis, text proofreading, lemmatization, parsing, language identification, text clustering and corporate reputation analysis; downloadable electronic dictionaries. Word processing; Computerized word processing; Compilation of information into computer databases; Compilation of statistics; Data processing services; Systemization of information into computer databases; Data search in computer files for others; Compilation of statistical data for business purposes; Collection and systematization of business data. Creation, design, programming and development of computer software; Software engineering; Advice and consultancy relating to computer software; Information technology consultancy; Software as a service (SaaS) services featuring software for use in topics extraction, text classification, sentiment analysis, text proofreading, lemmatization, parsing, language identification, text clustering and corporate reputation analysis; Application service provider services, namely, providing software for use in topics extraction, text classification, sentiment analysis, text proofreading, lemmatization, parsing, language identification, text clustering and corporate reputation analysis; Development of computer software application solutions; Creation, designing, programming and development of computer software for text analysis engines.

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