Online forums are becoming a popular resource in the state of the art question answering (QA) systems. Because of its nature as an online community, it contains more updated knowl...
Having being proposed for the fourth time, the QA at CLEF track has confirmed a still raising interest from the research community, recording a constant increase both in the numbe...
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based...
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
Evaluating competing technologies on a common problem set is a powerful way to improve the state of the art and hasten technology transfer. Yet poorly designed evaluations can was...