| lr,44-1-N03-1004,ak | for <term> answers </term> in multiple <term> | corpora | </term> . The <term> answering agents </term> | #2351 Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora . | |
| measure(ment),31-4-N03-1004,ak | correctly answered , and a 32.8 % <term> | improvement | </term> according to the <term> average precision | #2428 Experiments evaluating the effectiveness of our answer resolution algorithm show a 35.0% relative improvement over our baseline system in the number of questions correctly answered, and a 32.8% improvement according to the average precision metric. |
