This paper presents our experiments in applying semantic information to improve the precision of the information retrieval module in a closed-domain question-answering system. Tha...
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...
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by c...
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai...
This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statist...
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca,...