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08/22/2023
Towards an On-device Agent for Text Rewriting
Large Language Models (LLMs) have demonstrated impressive capabilities f...
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05/25/2023
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
Large Language Models (LLMs) have demonstrated impressive zero-shot capa...
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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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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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03/24/2022
Open-set Recognition via Augmentation-based Similarity Learning
The primary assumption of conventional supervised learning or classifica...
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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...
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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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12/05/2021
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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11/04/2021
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model
Tea chrysanthemum detection at its flowering stage is one of the key com...
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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...
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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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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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09/25/2020
Controllable Text Generation with Focused Variation
This work introduces Focused-Variation Network (FVN), a novel model to c...
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04/28/2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
This paper focuses on learning domain-oriented language models driven by...
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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...
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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...
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08/30/2019
Modeling Multi-Action Policy for Task-Oriented Dialogues
Dialogue management (DM) plays a key role in the quality of the interact...
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08/06/2019
Flexibly-Structured Model for Task-Oriented Dialogues
This paper proposes a novel end-to-end architecture for task-oriented di...
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05/15/2019
Controlled CNN-based Sequence Labeling for Aspect Extraction
One key task of fine-grained sentiment analysis on reviews is to extract...
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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...
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02/03/2019
Review Conversational Reading Comprehension
Seeking information about products and services is an important activity...
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09/17/2018
Learning to Accept New Classes without Training
Classic supervised learning makes the closed-world assumption, meaning t...
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05/25/2018
Lifelong Domain Word Embedding via Meta-Learning
Learning high-quality domain word embeddings is important for achieving ...
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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...
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04/21/2018
Generative Stock Question Answering
We study the problem of stock related question answering (StockQA): auto...
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01/17/2018
Unseen Class Discovery in Open-world Classification
This paper concerns open-world classification, where the classifier not ...
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12/06/2017
Product Function Need Recognition via Semi-supervised Attention Network
Functionality is of utmost importance to customers when they purchase pr...
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12/06/2017
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Product compatibility and their functionality are of utmost importance t...
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09/25/2017
DOC: Deep Open Classification of Text Documents
Traditional supervised learning makes the closed-world assumption that t...
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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...
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04/29/2017
Lifelong Learning CRF for Supervised Aspect Extraction
This paper makes a focused contribution to supervised aspect extraction....
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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...
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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 ...
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12/04/2016
