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20162022
most citedSnippext: Semi-supervised Opinion Mining with Augmented Data

54 citations · 62 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CL2022

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…

cs.CL2020

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…

cs.CL2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]

Jinfeng Li, Yuliang Li, Xiaolan Wang +1

Semantic tagging, which has extensive applications in text mining, predicts whether a given piece of text conveys the meaning of a given semantic tag. The problem of semantic taggi…

cs.CL2020

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…

cs.CL20205 cited

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…

cs.CL20201 cited

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…