b'Lei Shu'

research

∙ 08/22/2023

Towards an On-device Agent for Text Rewriting

Large Language Models (LLMs) have demonstrated impressive capabilities f...

0 Yun Zhu, et al. ∙

research

∙ 05/25/2023

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting

Large Language Models (LLMs) have demonstrated impressive zero-shot capa...

0 Lei Shu, 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

∙ 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

∙ 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

∙ 02/07/2022

Measuring and Reducing Model Update Regression in Structured Prediction for NLP

Recent advance in deep learning has led to rapid adoption of machine lea...

12 Deng Cai, 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

∙ 12/05/2021

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

∙ 11/04/2021

Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model

Tea chrysanthemum detection at its flowering stage is one of the key com...

11 Chao Qi, et al. ∙

research

∙ 09/29/2021

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

Pre-trained language models have been recently shown to benefit task-ori...

4 Yixuan Su, 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

∙ 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

∙ 09/25/2020

Controllable Text Generation with Focused Variation

This work introduces Focused-Variation Network (FVN), a novel model to c...

0 Lei Shu, et al. ∙

research

∙ 04/28/2020

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis

This paper focuses on learning domain-oriented language models driven by...

0 Hu Xu, et al. ∙

research

∙ 12/17/2019

Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey

This paper presents a comprehensive literature review on applications an...

0 Shimin Gong, et al. ∙

research

∙ 11/04/2019

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution

Aspect-based sentiment classification (ASC) is an important task in fine...

0 Hu Xu, et al. ∙

research

∙ 08/30/2019

Modeling Multi-Action Policy for Task-Oriented Dialogues

Dialogue management (DM) plays a key role in the quality of the interact...

0 Lei Shu, et al. ∙

research

∙ 08/06/2019

Flexibly-Structured Model for Task-Oriented Dialogues

This paper proposes a novel end-to-end architecture for task-oriented di...

1 Lei Shu, et al. ∙

research

∙ 05/15/2019

Controlled CNN-based Sequence Labeling for Aspect Extraction

One key task of fine-grained sentiment analysis on reviews is to extract...

0 Lei Shu, et al. ∙

research

∙ 04/03/2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Question-answering plays an important role in e-commerce as it allows po...

0 Hu Xu, et al. ∙

research

∙ 02/03/2019

Review Conversational Reading Comprehension

Seeking information about products and services is an important activity...

0 Hu Xu, et al. ∙

research

∙ 09/17/2018

Learning to Accept New Classes without Training

Classic supervised learning makes the closed-world assumption, meaning t...

0 Hu Xu, et al. ∙

research

∙ 05/25/2018

Lifelong Domain Word Embedding via Meta-Learning

Learning high-quality domain word embeddings is important for achieving ...

0 Hu Xu, et al. ∙

research

∙ 05/11/2018

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

One key task of fine-grained sentiment analysis of product reviews is to...

0 Hu Xu, et al. ∙

research

∙ 04/21/2018

Generative Stock Question Answering

We study the problem of stock related question answering (StockQA): auto...

0 Zhaopeng Tu, et al. ∙

research

∙ 01/17/2018

Unseen Class Discovery in Open-world Classification

This paper concerns open-world classification, where the classifier not ...

0 Lei Shu, et al. ∙

research

∙ 12/06/2017

Product Function Need Recognition via Semi-supervised Attention Network

Functionality is of utmost importance to customers when they purchase pr...

0 Hu Xu, et al. ∙

research

∙ 12/06/2017

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis

Product compatibility and their functionality are of utmost importance t...

1 Hu Xu, et al. ∙

research

∙ 09/25/2017

DOC: Deep Open Classification of Text Documents

Traditional supervised learning makes the closed-world assumption that t...

0 Lei Shu, et al. ∙

research

∙ 05/29/2017

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge

Extracting opinion targets is an important task in sentiment analysis on...

0 Hu Xu, et al. ∙

research

∙ 04/29/2017

Lifelong Learning CRF for Supervised Aspect Extraction

This paper makes a focused contribution to supervised aspect extraction....

0 Lei Shu, et al. ∙

research

∙ 12/23/2016

Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results

One of the key tasks of sentiment analysis of product reviews is to extr...

0 Lei Shu, et al. ∙

research

∙ 12/14/2016

Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion

Product Community Question Answering (PCQA) provides useful information ...

1 Hu Xu, et al. ∙

research

∙ 12/04/2016

CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews

Product reviews contain a lot of useful information about product featur...

0 Hu Xu, et al. ∙

Lei Shu

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