306 citations · 1.3k across the 118 of their papers we have counts for
10 papers · 1 filter
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Haiyun Peng, Lu Xu, Lidong Bing +3
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not l…
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
Qian Yu, Lidong Bing, Qiong Zhang +2
Online reviews provide rich information about products and service, while it remains inefficient for potential consumers to exploit the reviews for fulfilling their specific inform…
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Zheng Li, Xin Li, Ying Wei +3
Joint extraction of aspects and sentiments can be effectively formulated as a sequence labeling problem. However, such formulation hinders the effectiveness of supervised methods d…
Improving Question Generation With to the Point Context
Jingjing Li, Yifan Gao, Lidong Bing +2
Question generation (QG) is the task of generating a question from a reference sentence and a specified answer within the sentence. A major challenge in QG is to identify answer-re…
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
Xin Li, Lidong Bing, Wenxuan Zhang +1
In this paper, we investigate the modeling power of contextualized embeddings from pre-trained language models, e.g. BERT, on the E2E-ABSA task. Specifically, we build a series of…
Semi-supervised Text Style Transfer: Cross Projection in Latent Space
Mingyue Shang, Piji Li, Zhenxin Fu +4
Text style transfer task requires the model to transfer a sentence of one style to another style while retaining its original content meaning, which is a challenging problem that h…
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Zihao Wang, Kwun Ping Lai, Piji Li +2
For large-scale knowledge graphs (KGs), recent research has been focusing on the large proportion of infrequent relations which have been ignored by previous studies. For example f…
Hierarchical Pointer Net Parsing
Linlin Liu, Xiang Lin, Shafiq Joty +2
Transition-based top-down parsing with pointer networks has achieved state-of-the-art results in multiple parsing tasks, while having a linear time complexity. However, the decoder…
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
Wang Chen, Hou Pong Chan, Piji Li +2
In this paper, we present a novel integrated approach for keyphrase generation (KG). Unlike previous works which are purely extractive or generative, we first propose a new multi-t…
Persona-Aware Tips Generation
Piji Li, Zihao Wang, Lidong Bing +1
Tips, as a compacted and concise form of reviews, were paid less attention by researchers. In this paper, we investigate the task of tips generation by considering the `persona' in…