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06/11/2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
In this work, we study multi-source test-time model adaptation from user...
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04/25/2023
Test-Time Adaptation with Perturbation Consistency Learning
Currently, pre-trained language models (PLMs) do not cope well with the ...
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02/09/2023
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
A deployed question answering (QA) model can easily fail when the test d...
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06/06/2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Adapter-based tuning has recently arisen as an alternative to fine-tunin...
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09/24/2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...
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07/25/2019
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
Knowledge base provides a potential way to improve the intelligence of i...
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06/03/2019
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
Semantic parsing aims to transform natural language (NL) utterances into...
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08/21/2018
Semi-Supervised Learning for Neural Keyphrase Generation
We study the problem of generating keyphrases that summarize the key poi...
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02/23/2018
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
In this paper, we propose to study the problem of COURT VIEW GENeration ...
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12/22/2016