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08/22/2023
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder
The fairness issue of clinical data modeling, especially on Electronic H...
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11/16/2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Recent studies on Next-basket Recommendation (NBR) have achieved much pr...
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11/04/2022
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
The explosion of e-commerce has caused the need for processing and analy...
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10/28/2022
Mitigating Health Disparities in EHR via Deconfounder
Health disparities, or inequalities between different patient demographi...
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09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
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05/03/2021
Pseudo Siamese Network for Few-shot Intent Generation
Few-shot intent detection is a challenging task due to the scare annotat...
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04/24/2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Text classification is usually studied by labeling natural language text...
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09/21/2020
Composed Variational Natural Language Generation for Few-shot Intents
In this paper, we focus on generating training examples for few-shot int...
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07/30/2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
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04/04/2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
In this paper, we formulate a more realistic and difficult problem setup...
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04/02/2020
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
Named entity typing (NET) is a classification task of assigning an entit...
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02/27/2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
There is an increasing amount of literature that claims the brittleness ...
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06/20/2019