Search Results for author: Nianzu Ma

Found 8 papers, 3 papers with code

Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities

1 code implementation31 Oct 2022 Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby

Much of the existing work on text novelty detection has been studied at the topic level, i. e., identifying whether the topic of a document or a sentence is novel or not.

Novelty Detection Sentence

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

1 code implementation NeurIPS 2021 Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

Although several papers have tried to deal with both CF and KT, our experiments show that they suffer from serious CF when the tasks do not have much shared knowledge.

Continual Learning Language Modelling +2

Lifelong and Interactive Learning of Factual Knowledge in Dialogues

no code implementations WS 2019 Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma

Dialogue systems are increasingly using knowledge bases (KBs) storing real-world facts to help generate quality responses.

Forward and Backward Knowledge Transfer for Sentiment Classification

no code implementations8 Jun 2019 Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang

That is, it is possible to improve the NB classifier for a task by improving its model parameters directly by using the retained knowledge from other tasks.

Classification General Classification +3

Towards a Continuous Knowledge Learning Engine for Chatbots

no code implementations16 Feb 2018 Sahisnu Mazumder, Nianzu Ma, Bing Liu

We model the task as an open-world knowledge base completion problem and propose a novel technique called lifelong interactive learning and inference (LiLi) to solve it.

General Knowledge Knowledge Base Completion +1

Lifelong Learning for Sentiment Classification

no code implementations IJCNLP 2015 Zhiyuan Chen, Nianzu Ma, Bing Liu

This paper proposes a novel lifelong learning (LL) approach to sentiment classification.

Bayesian Optimization Classification +3

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