Papers by Runxin Sun

2 papers
Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing (2022.acl-short)

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Challenge: Text-to-SQL parsing aims to parse natural language questions into SQL queries . current attention-based approaches can only model alignments at the token level .
Approach: They propose a method to leverage explicit lexico-logical alignments by identifying possible phrase-level alignments and injecting them as additional contexts into the parsing procedure.
Outcome: The proposed approach improves performance by 3.4% on Squall.
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue (2020.findings-emnlp)

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Challenge: Existing studies have focused on KS in unstructured documents, but dialogue history that is not related to the current dialogue may introduce noise in the KS processing.
Approach: They propose a Compare Aggregate Transformer to jointly denoise the dialogue context and aggregate the document information for response generation.
Outcome: The proposed model outperforms the state-of-the-art approach and strong baselines on a CMU_DoG dataset.

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