With the ever-increasing amount of textual information available, it is becoming increasingly unlikely that a single document will provide the answer to a question. A more likely ...
In this paper, we present a Question Answering system called KUQA (Korea University Question Answering system) developed by using semantic categories and co-occurrence density. Se...
Soo-Min Kim, Dae-Ho Baek, Sang-Beom Kim, Hae-Chang...
The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
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...
Research on Question Answering is focused mainly on classifying the question type and finding the answer. Presenting the answer in a way that suits the user's needs has recei...