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09/04/2023
Zero-shot information extraction from radiological reports using ChatGPT
Electronic health records contain an enormous amount of valuable informa...
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07/25/2023
CT-Net: Arbitrary-Shaped Text Detection via Contour Transformer
Contour based scene text detection methods have rapidly developed recent...
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06/26/2023
Parameter-Level Soft-Masking for Continual Learning
Existing research on task incremental learning in continual learning has...
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06/22/2023
Learnability and Algorithm for Continual Learning
This paper studies the challenging continual learning (CL) setting of Cl...
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06/22/2023
Class-Incremental Learning based on Label Generation
Despite the great success of pre-trained language models, it is still a ...
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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...
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05/24/2023
Dealing with Cross-Task Class Discrimination in Online Continual Learning
Existing continual learning (CL) research regards catastrophic forgettin...
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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...
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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 ...
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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 ...
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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...
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02/07/2023
Continual Pre-training of Language Models
Language models (LMs) have been instrumental for the rapid advance of na...
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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...
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11/29/2022
Dependency-aware Self-training for Entity Alignment
Entity Alignment (EA), which aims to detect entity mappings (i.e. equiva...
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11/29/2022
Guiding Neural Entity Alignment with Compatibility
Entity Alignment (EA) aims to find equivalent entities between two Knowl...
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11/23/2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual learning (CL) is an emerging learning paradigm that aims to em...
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11/12/2022
Lifelong and Continual Learning Dialogue Systems
Dialogue systems, commonly known as chatbots, have gained escalating pop...
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11/04/2022
A Theoretical Study on Solving Continual Learning
Continual learning (CL) learns a sequence of tasks incrementally. There ...
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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 ...
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10/26/2022
Knowledge-Guided Exploration in Deep Reinforcement Learning
This paper proposes a new method to drastically speed up deep reinforcem...
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10/11/2022
Continual Training of Language Models for Few-Shot Learning
Recent work on applying large language models (LMs) achieves impressive ...
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08/22/2022
High-quality Task Division for Large-scale Entity Alignment
Entity Alignment (EA) aims to match equivalent entities that refer to th...
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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...
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07/01/2022
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings
Learning task-oriented dialog policies via reinforcement learning typica...
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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...
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06/03/2022
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
Customer reviews are vital for making purchasing decisions in the Inform...
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05/11/2022
KETOD: Knowledge-Enriched Task-Oriented Dialogue
Existing studies in dialogue system research mostly treat task-oriented ...
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03/24/2022
Open-set Recognition via Augmentation-based Similarity Learning
The primary assumption of conventional supervised learning or classifica...
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03/17/2022
Continual Learning Based on OOD Detection and Task Masking
Existing continual learning techniques focus on either task incremental ...
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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...
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02/04/2022
Zero-Shot Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) typically requires in-domain anno...
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12/18/2021
Continual Learning with Knowledge Transfer for Sentiment Classification
This paper studies continual learning (CL) for sentiment classification ...
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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...
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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...
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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...
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12/05/2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Continual learning (CL) learns a sequence of tasks incrementally with th...
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11/26/2021
Neural Collaborative Graph Machines for Table Structure Recognition
Recently, table structure recognition has achieved impressive progress w...
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11/19/2021
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
The ability of neural networks (NNs) to learn and remember multiple task...
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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...
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10/13/2021
ActiveEA: Active Learning for Neural Entity Alignment
Entity Alignment (EA) aims to match equivalent entities across different...
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09/10/2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
Zero-shot transfer learning for dialogue state tracking (DST) enables us...
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09/06/2021
Zero-Shot Open Set Detection by Extending CLIP
In a regular open set detection problem, samples of known classes (also ...
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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...
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12/31/2020
Continual Learning in Task-Oriented Dialogue Systems
Continual learning in task-oriented dialogue systems can allow us to add...
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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...
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11/19/2020
Lifelong Knowledge Learning in Rule-based Dialogue Systems
One of the main weaknesses of current chatbots or dialogue systems is th...
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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...
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10/31/2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
This paper analyzes the pre-trained hidden representations learned from ...
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10/24/2020
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Existing conversational systems are mostly agent-centric, which assumes ...
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10/24/2020
