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courses:rg:2013:ut-and-udt [2013/10/28 19:22] ufal created |
courses:rg:2013:ut-and-udt [2013/10/28 19:24] (current) ufal |
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- | Universal Tagset | + | ==== Universal Tagset |
- | 1. Why do you think that the best results are obtained by training on | + | 1. Why do you think that the best results are obtained by training on original tagsets and testing on the universal one (why are the numbers in the O/U column higher than in O/O and U/U)? (Table 1) |
- | original tagsets and testing on the universal one (why are the numbers | + | |
- | in the O/U column higher than in O/O and U/U)? (Table 1) | + | |
- | 2. What is the advantage of USR-I over USR-G? (Why would someone use | + | 2. What is the advantage of USR-I over USR-G? (Why would someone use the former, when the latter gives better results?) |
- | the former, when the latter gives better results?) | + | |
- | Universal Treebank | + | ==== Universal Treebank |
- | 3. How does the annotation scheme of the Universal Treebank differ | + | 3. How does the annotation scheme of the Universal Treebank differ from the original Stanford Dependencies? |
- | from the original Stanford Dependencies? | + | |
- | 4. Which of the labels (from Table 1 on page 3) do you not understand? | + | 4. Which of the labels (from Table 1 on page 3) do you not understand? (Name 3-5 labels you understand the least or are the most interested in.) |
- | (Name 3-5 labels you understand the least or are the most interested | + | |
- | in.) | + | |
- | \\ | + | ==== Both ==== |
- | \\ | + | |
5. (Credit MP) | 5. (Credit MP) | ||
Let us have the following two sentences: | Let us have the following two sentences: | ||
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" | " | ||
a) Assign the correct universal POS tags and dependency trees for both the sentences. | a) Assign the correct universal POS tags and dependency trees for both the sentences. | ||
- | b) How do you think the sentences would be parsed by a delexicalized | + | b) How do you think the sentences would be parsed by a delexicalized cross-lingual parser with French as the source language? |
- | cross-lingual parser with French as the source language? | + |