This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
There has recently been a significant increase in the number of community-based question and answer services on the Web where people answer other peoples’ questions. These serv...
Language training systems that provide learners adaptive questions on the contents of stories require several capabilities such as semantic analysis, automated question generation ...
We integrate automatic speech recognition (ASR) and question answering (QA) to realize a speech-driven QA system, and evaluate its performance. We adapt an Ngram language model to...