The gap between the user's information need and query is expanding due to the pervasiveness of Web search. Multimedia question answering is restricted by disjoint infrastruct...
The treatment of factual data has been widely studied in different areas of Natural Language Processing (NLP). However, processing subjective information still poses important cha...
In Knowledge Management, variations in information expressions have proven a real challenge. In particular, classical semantic relations (e.g. synonymy) do not connect words with ...
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
We introduce a probabilistic noisychannel model for question answering and we show how it can be exploited in the context of an end-to-end QA system. Our noisy-channel system outp...