Papers by Charlie Snell

2 papers
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems (2022.findings-naacl)

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Challenge: Goal-oriented dialogue systems face a trade-off between fluent language generation and task-specific control.
Approach: They propose a method to fine-tune language models in a goal-aware way . they evaluate a flight-booking method with a context-assisted language model .
Outcome: The proposed method outperforms the state-of-the-art method on a flight-booking task by 7% in terms of task success.
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL (2023.emnlp-main)

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Challenge: Using APEL, non-programmers can annotate natural language utterances with complex programs that represent their meaning.
Approach: They introduce a framework in which non-programmers select among candidate programs generated by a seed semantic parser.
Outcome: The proposed framework achieves the same annotation accuracy as the original expert annotators (75%) and exposes many subtle errors in the original annotations.

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