323 citations · 495 across the 19 of their papers we have counts for
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Extractive Opinion Summarization in Quantized Transformer Spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara +2
We present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization. QT is inspired by Vector-Quantized Variational Autoencoders, which we repurp…
Constructing Explainable Opinion Graphs from Review
Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara +4
The Web is a major resource of both factual and subjective information. While there are significant efforts to organize factual information into knowledge bases, there is much less…
OpinionDigest: A Simple Framework for Opinion Summarization
Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis +1
We present OpinionDigest, an abstractive opinion summarization framework, which does not rely on gold-standard summaries for training. The framework uses an Aspect-based Sentiment…
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan +6
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara +2
We present Ditto, a novel entity matching system based on pre-trained Transformer-based language models. We fine-tune and cast EM as a sequence-pair classification problem to lever…