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05/30/2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Large language models (LLMs) can learn to perform a wide range of natura...
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05/27/2023
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques
Compositional and domain generalization present significant challenges i...
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01/25/2023
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
While large language models (LLMs) have demonstrated strong capability i...
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11/15/2022
Hierarchical Phrase-based Sequence-to-Sequence Learning
We describe a neural transducer that maintains the flexibility of standa...
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06/28/2022
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
The importance of building text-to-SQL parsers which can be applied to n...
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06/08/2021
Meta-Learning to Compositionally Generalize
Natural language is compositional; the meaning of a sentence is a functi...
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06/06/2021
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
Despite success in many domains, neural models struggle in settings wher...
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04/12/2021
Learning to Synthesize Data for Semantic Parsing
Synthesizing data for semantic parsing has gained increasing attention r...
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04/12/2021
Learning from Executions for Semantic Parsing
Semantic parsing aims at translating natural language (NL) utterances on...
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10/22/2020
Meta-Learning for Domain Generalization in Semantic Parsing
The importance of building semantic parsers which can be applied to new ...
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09/29/2020
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
We present GraPPa, an effective pre-training approach for table semantic...
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11/10/2019
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
When translating natural language questions into SQL queries to answer q...
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09/09/2019
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
Semantic parsing aims to map natural language utterances onto machine in...
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09/03/2019
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
In medical documents, it is possible that an entity of interest not only...
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10/03/2018
Neural Segmental Hypergraphs for Overlapping Mention Recognition
In this work, we propose a novel segmental hypergraph representation to ...
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10/03/2018
