Papers with semantic parsing models

3 papers
Constructing Web-Accessible Semantic Role Labels and Frames for Japanese as Additions to the NPCMJ Parsed Corpus (2020.lrec-1)

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Challenge: Adding semantic role labels to the NPCMJ will help language learners and linguists search for syntactic and semantic features.
Approach: They propose to add frame information for predicates and two types of semantic role labels that mark contributions of arguments to the NINJAL Parsed Corpus of Modern Japanese (NPCMJ) this will provide a web-accessible language resource for linguists and language learners searching for syntactic and semantic features.
Outcome: The proposed framework will be able to search examples of Japanese for syntactic and semantic features.
The Robotic Surgery Procedural Framebank (2022.lrec-1)

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Challenge: Surgical practice has steadily improved thanks to the support of the approaches made available by observational science.
Approach: They propose to extract from robot-surgical texts verbs and nouns that describe surgical actions and extend PropBank frames by adding any of new lemmas, frames or role sets required to cover missing lemae.
Outcome: The proposed resource can be used to train and evaluate Semantic Role Labeling (SRL) systems in a fine-grained domain setting.
ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser (2021.naacl-main)

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Challenge: Existing semantic parsing models struggle to adapt to unseen database schemas . a new architecture, ShadowGNN, processes schemas at abstract and semantic levels .
Approach: They propose a new architecture which processes schemas at abstract and semantic levels.
Outcome: The proposed architecture outperforms state-of-the-art models on a text-to-sql benchmark . it uses domain-independent representations to extract logical linking between question and schema .

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