The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical r...
Cui Tao, Harold R. Solbrig, Deepak K. Sharma, Wei-...
Language training systems that provide learners adaptive questions on the contents of stories require several capabilities such as semantic analysis, automated question generation ...
Classic textual question answering (QA) approaches that rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are li...
Nuno Cardoso, Iustin Dornescu, Sven Hartrumpf, Joh...
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...