Publication details
Evaluating Long Contexts in the Czech Answer Selection Task
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | Recent Advances in Slavonic Natural Language Processing (RASLAN 2021) |
| MU Faculty or unit | |
| Citation | |
| Web | |
| Keywords | Question answering; Answer selection; Answer context; Evaluation |
| Description | In the search for the answer to an open-domain question, the size of the search window, or the answer context, can greatly influence the resulting determination of the answer. The presented paper offers a detailed evaluation of different sizes of the answer context in case of Czech question answering. We compare six different context types in four different lengths. The conclusion of the experiments is that prolonging the context can improve the precision for specific types but in general the best results are obtained with one-sentence contexts. |
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