| tech,8-1-N03-1004,ak | of <term> ensemble methods </term> in <term> | machine learning | </term> and other areas of <term> natural | #2315 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. | |
| other,17-4-N03-1004,ak | relative improvement </term> over our <term> | baseline system | </term> in the number of <term> questions </term> | #2414 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. | |
| tech,26-1-N03-1004,ak | multi-strategy and multi-source approach to <term> | question answering | </term> which is based on combining the | #2333 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. |
