Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly...
John M. Prager, Eric W. Brown, Anni Coden, Dragomi...
Abstract. The capability of handling anaphora is becoming a key feature for Question Answering systems, as it can play a crucial role at different stages of the QA loop. At the qu...
In our system, we make use of Chunk information to analyze the question. A multilevel method is fulfilled to retrieve candidate Bi-sentences. As to answer selecting, we proposed a...
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...