Pedro Curto


2016

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SPA: Web-based Platform for easy Access to Speech Processing Modules
Fernando Batista | Pedro Curto | Isabel Trancoso | Alberto Abad | Jaime Ferreira | Eugénio Ribeiro | Helena Moniz | David Martins de Matos | Ricardo Ribeiro
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents SPA, a web-based Speech Analytics platform that integrates several speech processing modules and that makes it possible to use them through the web. It was developed with the aim of facilitating the usage of the modules, without the need to know about software dependencies and specific configurations. Apart from being accessed by a web-browser, the platform also provides a REST API for easy integration with other applications. The platform is flexible, scalable, provides authentication for access restrictions, and was developed taking into consideration the time and effort of providing new services. The platform is still being improved, but it already integrates a considerable number of audio and text processing modules, including: Automatic transcription, speech disfluency classification, emotion detection, dialog act recognition, age and gender classification, non-nativeness detection, hyper-articulation detection, dialog act recognition, and two external modules for feature extraction and DTMF detection. This paper describes the SPA architecture, presents the already integrated modules, and provides a detailed description for the ones most recently integrated.

2014

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JUST.ASK, a QA system that learns to answer new questions from previous interactions
Sérgio Curto | Ana C. Mendes | Pedro Curto | Luísa Coheur | Ângela Costa
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We present JUST.ASK, a publicly available Question Answering system, which is freely available. Its architecture is composed of the usual Question Processing, Passage Retrieval and Answer Extraction components. Several details on the information generated and manipulated by each of these components are also provided to the user when interacting with the demonstration. Since JUST.ASK also learns to answer new questions based on users’ feedback, (s)he is invited to identify the correct answers. These will then be used to retrieve answers to future questions.