Luis Villaseñor Pineda

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Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to provide domain knowledge with extra rewards to converge faster. The reward shaping functions are normally defined in advance by the user and are static. This paper introduces a(More)
In this paper the transcription and evaluation of the corpus DIMEx100 for Mexican Spanish is presented. First we describe the corpus and explain the linguistic and computational motivation for its design and collection process; then, the phonetic antecedents and the alphabet adopted for the transcription task are presented; the corpus has been transcribed(More)
This paper describes the system jointly developed by the Language Technologies Lab from INAOE and the Language and Reasoning Group from UAM for the Sexual Predators Identification task at the PAN 2012. The presented system focuses on the problem of identifying sexual predators in a set of suspicious chatting. It is mainly based on the following hypotheses:(More)
Passage Retrieval (PR) is typically used as the first step in current Question Answering (QA) systems. Most methods are based on the vector space model allowing the finding of relevant passages for general user needs, but failing on selecting pertinent passages for specific user questions. This paper describes a simple PR method specially suited for the QA(More)
This paper describes the participation of the Laboratory of Language Technologies of INAOE at PAN 2013 evaluation lab. We adopted second order representations for facing the problem of Author Profiling (AP). This representation tackles two shortcomings of the typical Bag-of-Terms: i) the sparsity and high dimensionality of document representations, and ii)(More)
In this paper the phonetic and speech corpus DIMEx100 for Mexican Spanish is presented. We discuss both the linguistic motivation and the computational tools employed for the design, collection and transcription of the corpus. The phonetic transcription methodology is based on recent empirical studies proposing a new basic set of allophones and phonological(More)
In this paper, we describe the participation of the Language Technologies Lab of INAOE at PAN 2015. According to the Author Profiling (AP) literature. In this paper we take such discriminative and descriptive information into a new higher level exploiting a combination of discriminative and descriptive representations. For this we use dimensionality(More)
In this paper we describe the participation of the Laboratory of Language Technologies of INAOE at PAN 2014. We address the Author Profiling (AP) task finding and exploiting relationships among terms, documents, profiles and subprofiles. Our approach uses the idea of second order attributes (a lowdimensional and dense document representation) [4], but goes(More)