| 11 | | 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: |
| 12 | | |
| 13 | | 1. paper1 |
| 14 | | 1. paper2 |
| 15 | | 1. paper3 |
| | 11 | 1. PEI, Wenzhe; GE, Tao; CHANG, Baobao. An effective neural network model for graph-based dependency parsing. In: Proc. of ACL. 2015. |
| | 12 | 1. CHOI, Jinho D.; TETREAULT, Joel; STENT, Amanda. It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool. In: Proc. of ACL. 2015. |
| | 13 | 1. DURRETT, Greg; KLEIN, Dan. Neural CRF Parsing. In: Proc. of ACL. 2015. |
| 19 | | 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. |
| | 17 | 1. Go to http://ske.fi.muni.cz, login and create a shadow copy of the Czech Wikipedia corpus by clicking on "Create grammar development corpus". |
| | 18 | 1. Develop your own sketch grammar that will capture the following semantic relations in this corpus: hypernymy/hyponymy, meronymy/holonymy (hint: use {{{DUAL}}} directive), optionally you can develop more relations (e.g. "is-defined-as"). |
| | 19 | Read related [https://www.sketchengine.co.uk/writing-sketch-grammars/ documentation]. Start with a couple of simple CQL queries that you pretest in the interface. |
| | 20 | 1. You can iteratively expand the grammar, upload it into the system, have the system compute word sketches and review the results |
| | 21 | 1. When you are happy with the grammar, logon to the {{{alba.fi.muni.cz}}} server and use the {{{dumpws}}} command to export the content of the word sketch database: |
