Papers with PAS analysis

2 papers
Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis (D19-58)

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Challenge: a lack of gold datasets and knowledge about PAS analysis makes it difficult to create accurate PAS analyses.
Approach: They construct a Japanese blog-QA dataset and a reading comprehension QA dataset using crowdsourcing.
Outcome: The proposed method is most effective, pre-training model to acquire domain knowledge and fine-tuning model based on PAS-QA dataset.
KWJA: A Unified Japanese Analyzer Based on Foundation Models (2023.acl-demo)

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Challenge: KWJA supports a wide range of tasks including typo correction, word segmentation, word normalization, named entity recognition, dependency parsing, PAS analysis, bridging reference resolution, coreference resolution, and discourse relation analysis.
Approach: They propose to build a Japanese text analyzer based on foundation models that performs a wide range of tasks.
Outcome: The proposed model performs better in a multi-task manner than other analyzers with specialized models.

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