| 1 | = Named Entity Recognition = |
| 2 | |
| 3 | [[https://is.muni.cz/auth/predmet/fi/ia161|IA161 Advanced NLP Course]], Course Guarantee: Aleš Horák |
| 4 | |
| 5 | Prepared by: Zuzana Nevěřilová |
| 6 | |
| 7 | == TODO til 31.5.2015 == |
| 8 | |
| 9 | 1. choose particular papers for [[#References|References]] below (that will serve as input for the lecture later on) |
| 10 | 1. prepare the [[#PracticalSession|Practical Session]] |
| 11 | |
| 12 | == State of the Art == |
| 13 | |
| 14 | === References === |
| 15 | |
| 16 | Approx 3 current papers (preferably from best NLP conferences/journals, eg. [[https://www.aclweb.org/anthology/|ACL Anthology]]) that will be used as a source for the one-hour lecture: |
| 17 | |
| 18 | 1. paper1 |
| 19 | 1. paper2 |
| 20 | 1. paper3 |
| 21 | |
| 22 | == Practical Session == |
| 23 | |
| 24 | Concrete description of work assignment for students for the second one-hour part of the lecture. The work will consist of tasks connected with practical implementations of algorithms connected with the current topic (probably not the state-of-the-art algorithms mentioned in the first part) and with real data. Students can test the algorithms, evaluate them and possibly try some short adaptations for various subtasks. |
| 25 | |
| 26 | Students can also be required to generate some results of their work and hand them in to prove completing the tasks. |