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20172022
most citedTransfer Learning for Neural Semantic Parsing

12 citations · 45 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CL2022

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI

Suzanna Sia, Anton Belyy, Amjad Almahairi +3

Evaluating an explanation's faithfulness is desired for many reasons such as trust, interpretability and diagnosing the sources of model's errors. In this work, which focuses on th…

cs.CL20221 cited

Policy Compliance Detection via Expression Tree Inference

Neema Kotonya, Andreas Vlachos, Majid Yazdani +2

Policy Compliance Detection (PCD) is a task we encounter when reasoning over texts, e.g. legal frameworks. Previous work to address PCD relies heavily on modeling the task as a spe…

cs.CL20228 cited

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson +4

Current methods for few-shot fine-tuning of pretrained masked language models (PLMs) require carefully engineered prompts and verbalizers for each new task to convert examples into…

cs.CL20204 cited

Pre-Training for Query Rewriting in A Spoken Language Understanding System

Zheng Chen, Xing Fan, Yuan Ling +2

Query rewriting (QR) is an increasingly important technique to reduce customer friction caused by errors in a spoken language understanding pipeline, where the errors originate fro…

cs.CL2019

Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems

Rylan Conway, Lambert Mathias

In a spoken dialogue system, dialogue state tracker (DST) components track the state of the conversation by updating a distribution of values associated with each of the slots bein…

cs.CL20192 cited

Improving Long Distance Slot Carryover in Spoken Dialogue Systems

Tongfei Chen, Chetan Naik, Hua He +2

Tracking the state of the conversation is a central component in task-oriented spoken dialogue systems. One such approach for tracking the dialogue state is slot carryover, where a…