306 citations · 863 across the 45 of their papers we have counts for
7 papers · 1 filter
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
Xin Li, Lidong Bing, Piji Li +1
Target-based sentiment analysis involves opinion target extraction and target sentiment classification. However, most of the existing works usually studied one of these two sub-tas…
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
Deng Cai, Yan Wang, Victoria Bi +4
For dialogue response generation, traditional generative models generate responses solely from input queries. Such models rely on insufficient information for generating a specific…
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi, Zihao Fu, Lidong Bing +1
Word embeddings have been widely used in sentiment classification because of their efficacy for semantic representations of words. Given reviews from different domains, some existi…
Transformation Networks for Target-Oriented Sentiment Classification
Xin Li, Lidong Bing, Wai Lam +1
Target-oriented sentiment classification aims at classifying sentiment polarities over individual opinion targets in a sentence. RNN with attention seems a good fit for the charact…
Aspect Term Extraction with History Attention and Selective Transformation
Xin Li, Lidong Bing, Piji Li +2
Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews. We present a new framework fo…
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance
Yi Liao, Lidong Bing, Piji Li +3
We propose the task of Quantifiable Sequence Editing (QuaSE): editing an input sequence to generate an output sequence that satisfies a given numerical outcome value measuring a ce…
Actor-Critic based Training Framework for Abstractive Summarization
Piji Li, Lidong Bing, Wai Lam
We present a training framework for neural abstractive summarization based on actor-critic approaches from reinforcement learning. In the traditional neural network based methods,…