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- José Manuel PardoSuggested from co-authorship
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Works132 from public data
- Error Analysis of Statistical Machine Translation Output337
A framework for classification of the errors of a machine translation system is presented and an error analysis of the system used by the RWTH in the first TC-STAR evaluation is carried out.
- Classification of epileptic EEG recordings using signal transforms and convolutional neural networks172
This analysis was carried out using two public datasets (Bern-Barcelona EEG and Epileptic Seizure Recognition datasets) obtaining significant improvements in accuracy.
- The Fourth Dialog State Tracking Challenge134
This edition of the fourth dialog state tracking challenge again focused on human-human dialogs, but introduced the task of cross-lingual adaptation of trackers, which received a total of 32 entries from 9 research groups.
- Speech to sign language translation system for Spanish119
The development of and the first experiments in a Spanish to sign language translation system in a real domain focusing on the sentences spoken by an official when assisting people applying for, or renewing their Identity Card are described.
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- DynaEval: Unifying Turn and Dialogue Level Evaluation82
DynaEval, a unified automatic evaluation framework which is not only capable of performing turn-level evaluation, but also holistically considers the quality of the entire dialogue, is proposed.
- Overview of the Ninth Dialog System Technology Challenge: DSTC973
The task definition is described, provided datasets, baselines, and evaluation setup for each track, and the results of the submitted systems are summarized to highlight the general trends of the state-of-the-art technologies for the tasks.
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- RevUP: Automatic Gap-Fill Question Generation from Educational Texts64
RevUP fills the semantic gap left open by previous work in this area, and represents a significant step towards automatically generating quality tests for teachers and self-motivated learners.
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- A Web-based Platform for Collection of Human-Chatbot Interactions39
An advanced platform for evaluating and annotating human-chatbot interactions, its main features and goals, as well as the future plans the authors have for it are described.
- Frequency features and GMM-UBM approach for gait-based person identification using smartphone inertial signals38
The final results demonstrate the capability of the GMM-UBM approach for gait recognition, and show how the PLP coefficients can improve system performance while reducing drastically the number of features.
- Phonotactic language recognition using ivvectors and phoneme posteriogram counts38
This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based on phoneme lattices, the high-dimensional vectors of counts are reduced to low-dimensional units for which the commonly used term i-vectors is adapted.
- Phonotactic language recognition using i-vectors and phoneme posteriogram counts38
This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based on phoneme lattices, the high-dimensional vectors of counts are reduced to low-dimensional units for which the commonly used term i-vectors is adapted.
- Automatic Correction of ASR Outputs by Using Machine Translation37
This paper proposes an automatic correction procedure based on using a phrase-based machine translation system trained using words and phonetic encoding representations to the generated n-best lists of ASR results, which can provide a quick and robust mechanism to improve the performance of the ASR.
- A Spanish speech to sign language translation system for assisting deaf-mute people37
The developed system translates officer explanations into sign language for deafmute people when assisting people in applying for, or renewing the National Identification Document and the Passport is focused on the sentences spoken by an officer.
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- Extended phone log-likelihood ratio features and acoustic-based i-vectors for language recognition32
This paper presents new techniques with relevant improvements added to the primary system presented by the group to the Albayzin 2012 LRE competition, where the use of any additional corpora for training or optimizing the models was forbidden.
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- Patrol team language identification system for DARPA RATS P1 evaluation28
This paper describes the language identification (LID) system developed by the Patrol team for the first phase of the DARPA RATS (Robust Automatic Transcription of Speech) program, which seeks to advance state of the art detection capabilities on audio from highly degraded communication channels.
- D-Score: Holistic Dialogue Evaluation Without Reference27
An automatic dialogue evaluation framework called D-score is proposed that resembles the way gymnastics is evaluated and learns to appreciate the overall quality of human-human conversations through a representation that is shared by all tasks without over-fitting to individual task domain.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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