Papers by Tatiana Bladier

5 papers
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.
Statistical Parsing of Tree Wrapping Grammars (2020.coling-main)

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Challenge: Using tree-wrapping grammars, we propose a statistical parsing algorithm for the grammar.
Approach: They propose a statistical parsing algorithm based on neural supertagging and A* parse for Tree-Wrapping Grammars (TWG) they extract a grammar for English from constituency treebanks and discuss first parser results with this grammar.
Outcome: The proposed algorithm is based on neural supertagging and A* parsing.
Improving Low-resource RRG Parsing with Cross-lingual Self-training (2022.coling-1)

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Challenge: a theoretical framework for low-resource parsing is understudied in computational linguistics but widely used in typological research . a novel approach uses Role and Reference Grammar to parse low-source languages .
Approach: They propose to extend an existing RRG parser into a cross-lingual parsing model . they also adopt self-training to adapt the model to a related language with no trees .
Outcome: The proposed model extends into a cross-lingual parser, and iteratively expands the training data.
RRGparbank: A Parallel Role and Reference Grammar Treebank (2022.lrec-1)

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Challenge: Existing treebanks for Role and Reference Grammar (RRG) are not yet available.
Approach: They propose to use a multilingual parallel treebank for Role and Reference Grammar to apply RRG to large-scale corpus annotations of 1984 and its translations.
Outcome: The proposed treebank contains annotations of Orwell's 1984 and translations thereof.
AET: Web-based Adjective Exploration Tool for German (L18-1)

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Challenge: AET enables research on the modificational behavior of German adjectives and adverbs . currently available online corpus query tools for German do not lend themselves specifically to research on adjectives - e.g., syntactic relationships or morphological properties.
Approach: They propose a web-based corpus query tool that can be used to query German corpus . they extracted modifiers and modifiees from a print media corpus and stored them in a database .
Outcome: The proposed tool can be transferred to other languages and modification phenomena.

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