Papers with French Treebank
German and French Neural Supertagging Experiments for LTAG Parsing (P18-3)
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| Challenge: | Lexicalized Tree Adjoining Grammars are a linguistically motivated grammar formalism that allows parsers to express linguistic generalizations that are not captured by statistical parsing. |
| Approach: | They propose a supertagging approach combined with deep learning to extract LTAG supertags from the French Treebank and propose n-best supertailing for German and French. |
| Outcome: | The proposed supertagging approach is able to extract LTAG supertags from the French Treebank and n-best supertracking for German and German. |
Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph (2022.lrec-1)
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| Challenge: | a graph modelling of grammar knowledge enables its merging with a lexical-semantic network . knowledge graphs provide a convenient means for heterogeneous knowledge to interact rather seamlessly. |
| Approach: | They propose a graph modelling of grammar knowledge which enables its merging with a lexical-semantic network. |
| Outcome: | The proposed model integrates grammar and lexical-semantic knowledge within a single and homogeneous knowledge graph. |
Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer (L18-1)
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| Challenge: | Using annotated corpus for linguistic purposes is no longer justified . hand-crafted syntactic resources such as grammars and lexicons can be used as sources of features to guide data driven systems. |
| Approach: | They propose an efficient method for transferring annotations between two different treebanks of the same language. |
| Outcome: | The proposed method is based on the Universal Dependency annotation scheme and was evaluated on the gold standard (94.75% of LAS, 99.40% UAS on the test set). |