360 citations · 434 across the 10 of their papers we have counts for
17 papers
Controllable Text Generation with Focused Variation
Lei Shu, Alexandros Papangelis, Yi-Chia Wang +5
This work introduces Focused-Variation Network (FVN), a novel model to control language generation. The main problems in previous controlled language generation models range from t…
Text Classification with Novelty Detection
Qi Qin, Wenpeng Hu, Bing Liu
This paper studies the problem of detecting novel or unexpected instances in text classification. In traditional text classification, the classes appeared in testing must have been…
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
Shuai Wang, Guangyi Lv, Sahisnu Mazumder +1
Sentiment lexicons are instrumental for sentiment analysis. One can use a set of sentiment words provided in a sentiment lexicon and a lexicon-based classifier to perform sentiment…
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu +1
This paper focuses on learning domain-oriented language models driven by end tasks, which aims to combine the worlds of both general-purpose language models (such as ELMo and BERT)…
Transformation of Dense and Sparse Text Representations
Wenpeng Hu, Mengyu Wang, Bing Liu +5
Sparsity is regarded as a desirable property of representations, especially in terms of explanation. However, its usage has been limited due to the gap with dense representations.…
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
Hu Xu, Bing Liu, Lei Shu +1
Aspect-based sentiment classification (ASC) is an important task in fine-grained sentiment analysis.~Deep supervised ASC approaches typically model this task as a pair-wise classif…