Zhiyuan Chen


2016

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Lifelong Machine Learning for Natural Language Processing
Zhiyuan Chen | Bing Liu
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts

Machine learning (ML) has been successfully used as a prevalent approach to solving numerous NLP problems. However, the classic ML paradigm learns in isolation. That is, given a dataset, an ML algorithm is executed on the dataset to produce a model without using any related or prior knowledge. Although this type of isolated learning is very useful, it also has serious limitations as it does not accumulate knowledge learned in the past and use the knowledge to help future learning, which is the hallmark of human learning and human intelligence. Lifelong machine learning (LML) aims to achieve this capability. Specifically, it aims to design and develop computational learning systems and algorithms that learn as humans do, i.e., retaining the results learned in the past, abstracting knowledge from them, and using the knowledge to help future learning. In this tutorial, we will introduce the existing research of LML and to show that LML is very suitable for NLP tasks and has potential to help NLP make major progresses.

2015

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Lifelong Learning for Sentiment Classification
Zhiyuan Chen | Nianzu Ma | Bing Liu
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

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Lifelong Machine Learning for Topic Modeling and Beyond
Zhiyuan Chen
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop

2014

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Review Topic Discovery with Phrases using the Pólya Urn Model
Geli Fei | Zhiyuan Chen | Bing Liu
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

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Aspect Extraction with Automated Prior Knowledge Learning
Zhiyuan Chen | Arjun Mukherjee | Bing Liu
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2013

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Exploiting Domain Knowledge in Aspect Extraction
Zhiyuan Chen | Arjun Mukherjee | Bing Liu | Meichun Hsu | Malu Castellanos | Riddhiman Ghosh
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Identifying Intention Posts in Discussion Forums
Zhiyuan Chen | Bing Liu | Meichun Hsu | Malu Castellanos | Riddhiman Ghosh
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies