This paper discusses the use of information extraction and natural language generation in the design of an automated e-mail answering system. We analyse short free-form texts and ...
For our second participation to the Question Answering task of CLEF, we kept last year’s system named MUSCLEF, which uses two translation strategies implemented in two modules. ...
This year we participated at 4 Question Answering tasks at CLEF: the Italian monolingual (I), Italian-English (I/E), Bulgarian monolingual (B), and Bulgarian-English (B/E) bilingu...
Question Answering systems are systems that enable the user to ask questions in natural language and to also receive an answer in natural language. Most existing systems, however,...
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...