57 citations · 449 across the 18 of their papers we have counts for
7 papers · 2 filters
Lifelong Domain Word Embedding via Meta-Learning
Hu Xu, Bing Liu, Lei Shu +1
Learning high-quality domain word embeddings is important for achieving good performance in many NLP tasks. General-purpose embeddings trained on large-scale corpora are often sub-…
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu, Bing Liu, Lei Shu +1
One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised…
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…
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning
Shuai Wang, Mianwei Zhou, Sahisnu Mazumder +2
Given a target name, which can be a product aspect or entity, identifying its aspect words and opinion words in a given corpus is a fine-grained task in target-based sentiment anal…
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang, Shuai Wang, Bing Liu
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction r…
Contextual and Position-Aware Factorization Machines for Sentiment Classification
Shuai Wang, Mianwei Zhou, Geli Fei +2
While existing machine learning models have achieved great success for sentiment classification, they typically do not explicitly capture sentiment-oriented word interaction, which…