On the Voice-Activated Question Answering

Open-Domain Voice-Activated Question Answering

Geovaqa: a Voice Activated Geographical Question Answering System

In this paper we present GeoVAQA, a Restricted Domain Spoken Question Answering system in the scope of the Spanish geography. The system consists of a webbased application that allows speech input questions about Spanish geography and sends back a concise textual answer. In our system, spoken questions are recognised by an automatic speech recognition (ASR) system. We have used RAMSES, a Spanis...

Investigating Embedded Question Reuse in Question Answering

The investigation presented in this paper is a novel method in question answering (QA) that enables a QA system to gain performance through reuse of information in the answer to one question to answer another related question. Our analysis shows that a pair of question in a general open domain QA can have embedding relation through their mentions of noun phrase expressions. We present methods f...

Minimal training based semantic categorization in a voice activated question answering (VAQA) system

In this paper, we develop a knowledge based methodology that maps Automatic Speech Recognizer (ASR) transcriptions to predefined semantic categories in a Voice Activated Question Answering (VAQA) system. The proposed semantic categorization methodology, SemCat, uses a novel lexical chains/ontology based algorithm and relies heavily on customized but domain independent Natural Language Processin...

Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering

This paper describes a novel method of constructing a language model for speech recognition of inputs with a particular style, using a large-scale Web archive. Our target is an open domain voice-activated QA system and our speech recognition module must recognize relatively short, domain independent questions. The central issue is how to prepare a large scale training corpus with low cost, and ...