54 citations · 74 across the 14 of their papers we have counts for
15 papers
Summarizing Community-based Question-Answer Pairs
Ting-Yao Hsu, Yoshi Suhara, Xiaolan Wang
Community-based Question Answering (CQA), which allows users to acquire their desired information, has increasingly become an essential component of online services in various doma…
Noisy Pairing and Partial Supervision for Stylized Opinion Summarization
Hayate Iso, Xiaolan Wang, Yoshi Suhara
Opinion summarization research has primarily focused on generating summaries reflecting important opinions from customer reviews without paying much attention to the writing style.…
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
Reinald Kim Amplayo, Arthur Bražinskas, Yoshi Suhara +2
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can be automatically summarized to provide the user with an overview of opinions. In…
Comparative Opinion Summarization via Collaborative Decoding
Hayate Iso, Xiaolan Wang, Stefanos Angelidis +1
Opinion summarization focuses on generating summaries that reflect popular subjective information expressed in multiple online reviews. While generated summaries offer general and…
Convex Aggregation for Opinion Summarization
Hayate Iso, Xiaolan Wang, Yoshihiko Suhara +2
Recent advances in text autoencoders have significantly improved the quality of the latent space, which enables models to generate grammatical and consistent text from aggregated l…
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…