44 citations · 142 across the 6 of their papers we have counts for
6 papers
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…
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma +2
Continual learning (CL) learns a sequence of tasks incrementally with the goal of achieving two main objectives: overcoming catastrophic forgetting (CF) and encouraging knowledge t…
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…
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…
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…
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…