activity
20182022
most citedLifelong Learning for Sentiment Classification

27 citations · 50 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities

Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz +3

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. Little wor…

cs.CL2019

Lifelong and Interactive Learning of Factual Knowledge in Dialogues

Sahisnu Mazumder, Bing Liu, Shuai Wang +1

Dialogue systems are increasingly using knowledge bases (KBs) storing real-world facts to help generate quality responses. However, as the KBs are inherently incomplete and remain…

cs.AI201923 cited

Forward and Backward Knowledge Transfer for Sentiment Classification

Hao Wang, Bing Liu, Shuai Wang +2

This paper studies the problem of learning a sequence of sentiment classification tasks. The learned knowledge from each task is retained and used to help future or subsequent task…

cs.CL2018

Towards a Continuous Knowledge Learning Engine for Chatbots

Sahisnu Mazumder, Nianzu Ma, Bing Liu

Although chatbots have been very popular in recent years, they still have some serious weaknesses which limit the scope of their applications. One major weakness is that they canno…

cs.CL201827 cited

Lifelong Learning for Sentiment Classification

Zhiyuan Chen, Nianzu Ma, Bing Liu

This paper proposes a novel lifelong learning (LL) approach to sentiment classification. LL mimics the human continuous learning process, i.e., retaining the knowledge learned from…