b'Bing Liu'

research

∙ 09/04/2023

Zero-shot information extraction from radiological reports using ChatGPT

Electronic health records contain an enormous amount of valuable informa...

0 Danqing Hu, et al. ∙

research

∙ 07/25/2023

CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer

Contour based scene text detection methods have rapidly developed recent...

0 Zhiwen Shao, et al. ∙

research

∙ 06/26/2023

Parameter-Level Soft-Masking for Continual Learning

Existing research on task incremental learning in continual learning has...

0 Tatsuya Konishi, et al. ∙

research

∙ 06/22/2023

Learnability and Algorithm for Continual Learning

This paper studies the challenging continual learning (CL) setting of Cl...

0 Gyuhak Kim, et al. ∙

research

∙ 06/22/2023

Class-Incremental Learning based on Label Generation

Despite the great success of pre-trained language models, it is still a ...

0 Yijia Shao, et al. ∙

research

∙ 05/24/2023

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Sentiment analysis (SA) has been a long-standing research area in natura...

0 Wenxuan Zhang, et al. ∙

research

∙ 05/24/2023

Dealing with Cross-Task Class Discrimination in Online Continual Learning

Existing continual learning (CL) research regards catastrophic forgettin...

0 Yiduo Guo, et al. ∙

research

∙ 05/19/2023

Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast

Existing research has shown that a multilingual pre-trained language mod...

0 Yiduo Guo, et al. ∙

research

∙ 04/20/2023

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning

As AI agents are increasingly used in the real open world with unknowns ...

0 Gyuhak Kim, et al. ∙

research

∙ 03/16/2023

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Recently, Table Structure Recognition (TSR) task, aiming at identifying ...

0 Hao Liu, et al. ∙

research

∙ 03/10/2023

A Novel Bilateral Energy Trading Mechanism for Electricity Markets with Numerous Prosumers

With the rapid development of distributed energy resources, increasing n...

0 Bing Liu, et al. ∙

research

∙ 02/07/2023

Continual Pre-training of Language Models

Language models (LMs) have been instrumental for the rapid advance of na...

0 Zixuan Ke, et al. ∙

research

∙ 01/21/2023

Adapting a Language Model While Preserving its General Knowledge

Domain-adaptive pre-training (or DA-training for short), also known as p...

0 Zixuan Ke, et al. ∙

research

∙ 11/29/2022

Dependency-aware Self-training for Entity Alignment

Entity Alignment (EA), which aims to detect entity mappings (i.e. equiva...

0 Bing Liu, et al. ∙

research

∙ 11/29/2022

Guiding Neural Entity Alignment with Compatibility

Entity Alignment (EA) aims to find equivalent entities between two Knowl...

0 Bing Liu, et al. ∙

research

∙ 11/23/2022

Continual Learning of Natural Language Processing Tasks: A Survey

Continual learning (CL) is an emerging learning paradigm that aims to em...

0 Zixuan Ke, et al. ∙

research

∙ 11/12/2022

Lifelong and Continual Learning Dialogue Systems

Dialogue systems, commonly known as chatbots, have gained escalating pop...

0 Sahisnu Mazumder, et al. ∙

research

∙ 11/04/2022

A Theoretical Study on Solving Continual Learning

Continual learning (CL) learns a sequence of tasks incrementally. There ...

0 Gyuhak Kim, et al. ∙

research

∙ 10/31/2022

Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities

Much of the existing work on text novelty detection has been studied at ...

0 Nianzu Ma, et al. ∙

research

∙ 10/26/2022

Knowledge-Guided Exploration in Deep Reinforcement Learning

This paper proposes a new method to drastically speed up deep reinforcem...

0 Sahisnu Mazumder, et al. ∙

research

∙ 10/11/2022

Continual Training of Language Models for Few-Shot Learning

Recent work on applying large language models (LMs) achieves impressive ...

10 Zixuan Ke, et al. ∙

research

∙ 08/22/2022

High-quality Task Division for Large-scale Entity Alignment

Entity Alignment (EA) aims to match equivalent entities that refer to th...

11 Bing Liu, et al. ∙

research

∙ 08/20/2022

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

This paper studies class incremental learning (CIL) of continual learnin...

1 Gyuhak Kim, et al. ∙

research

∙ 07/01/2022

Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

Learning task-oriented dialog policies via reinforcement learning typica...

5 Jorge A. Mendez, et al. ∙

research

∙ 06/27/2022

TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask

Arbitrary-shaped scene text detection is a challenging task due to the v...

9 Yuchen Su, et al. ∙

research

∙ 06/03/2022

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews

Customer reviews are vital for making purchasing decisions in the Inform...

10 Reinald Kim Amplayo, et al. ∙

research

∙ 05/11/2022

KETOD: Knowledge-Enriched Task-Oriented Dialogue

Existing studies in dialogue system research mostly treat task-oriented ...

8 Zhiyu Chen, et al. ∙

research

∙ 03/24/2022

Open-set Recognition via Augmentation-based Similarity Learning

The primary assumption of conventional supervised learning or classifica...

4 Sepideh Esmaeilpour, et al. ∙

research

∙ 03/17/2022

Continual Learning Based on OOD Detection and Task Masking

Existing continual learning techniques focus on either task incremental ...

0 Gyuhak Kim, et al. ∙

research

∙ 03/17/2022

AI Autonomy: Self-Initiation, Adaptation and Continual Learning

As more and more AI agents are used in practice, it is time to think abo...

10 Bing Liu, et al. ∙

research

∙ 02/04/2022

Zero-Shot Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) typically requires in-domain anno...

0 Lei Shu, et al. ∙

research

∙ 12/18/2021

Continual Learning with Knowledge Transfer for Sentiment Classification

This paper studies continual learning (CL) for sentiment classification ...

11 Zixuan Ke, et al. ∙

research

∙ 12/18/2021

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Existing research on continual learning of a sequence of tasks focused o...

5 Zixuan Ke, et al. ∙

research

∙ 12/06/2021

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks

This paper studies continual learning (CL) of a sequence of aspect senti...

3 Zixuan Ke, et al. ∙

research

∙ 12/05/2021

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks

This paper studies continual learning (CL) of a sequence of aspect senti...

8 Zixuan Ke, et al. ∙

research

∙ 12/05/2021

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Continual learning (CL) learns a sequence of tasks incrementally with th...

20 Zixuan Ke, et al. ∙

research

∙ 11/26/2021

Neural Collaborative Graph Machines for Table Structure Recognition

Recently, table structure recognition has achieved impressive progress w...

3 Hao Liu, et al. ∙

research

∙ 11/19/2021

Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification

The ability of neural networks (NNs) to learn and remember multiple task...

8 Yanni Li, et al. ∙

research

∙ 10/21/2021

Self-Initiated Open World Learning for Autonomous AI Agents

As more and more AI agents are used in practice, it is time to think abo...

0 Bing Liu, et al. ∙

research

∙ 10/13/2021

ActiveEA: Active Learning for Neural Entity Alignment

Entity Alignment (EA) aims to match equivalent entities across different...

13 Bing Liu, et al. ∙

research

∙ 09/10/2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer

Zero-shot transfer learning for dialogue state tracking (DST) enables us...

0 Zhaojiang Lin, et al. ∙

research

∙ 09/06/2021

Zero-Shot Open Set Detection by Extending CLIP

In a regular open set detection problem, samples of known classes (also ...

12 Sepideh Esmaeilpour, et al. ∙

research

∙ 05/10/2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking

Zero-shot cross-domain dialogue state tracking (DST) enables us to handl...

4 Zhaojiang Lin, et al. ∙

research

∙ 12/31/2020

Continual Learning in Task-Oriented Dialogue Systems

Continual learning in task-oriented dialogue systems can allow us to add...

6 Andrea Madotto, et al. ∙

research

∙ 11/25/2020

Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction

We present an efficient multi-view stereo (MVS) network for 3D reconstru...

1 Anzhu Yu, et al. ∙

research

∙ 11/19/2020

Lifelong Knowledge Learning in Rule-based Dialogue Systems

One of the main weaknesses of current chatbots or dialogue systems is th...

0 Bing Liu, et al. ∙

research

∙ 11/10/2020

MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images

There are limited studies on the semantic segmentation of high-resolutio...

4 Lei Ding, et al. ∙

research

∙ 10/31/2020

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis

This paper analyzes the pre-trained hidden representations learned from ...

12 Hu Xu, et al. ∙

research

∙ 10/24/2020

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

Existing conversational systems are mostly agent-centric, which assumes ...

8 Zhiyu Chen, et al. ∙

research

∙ 10/24/2020

Adding Chit-Chats to Enhance Task-Oriented Dialogues

The existing dialogue corpora and models are typically designed under tw...

6 Kai Sun, et al. ∙

Bing Liu

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