Search Results for author: Kazuaki Hanawa

Found 11 papers, 5 papers with code

Exploring Methods for Generating Feedback Comments for Writing Learning

1 code implementation EMNLP 2021 Kazuaki Hanawa, Ryo Nagata, Kentaro Inui

To shed light on these points, we investigate a wider range of methods for generating many feedback comments in this study.


Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation

1 code implementation COLING 2020 Takumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa

The performance measures are based on the simple idea that the more systems successfully correct an error, the easier it is considered to be.

Grammatical Error Correction

Evaluation of Similarity-based Explanations

2 code implementations ICLR 2021 Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

In this study, we investigated relevance metrics that can provide reasonable explanations to users.

The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4

no code implementations SEMEVAL 2019 Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki, Kentaro Inui

Our system achieved 80. 9{\%} accuracy on the test set for the formal run and got the 3rd place out of 42 teams.

Predicting Stances from Social Media Posts using Factorization Machines

no code implementations COLING 2018 Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui

This paper presents an approach to detect the stance of a user toward a topic based on their stances toward other topics and the social media posts of the user.

Decision Making Stance Detection

Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization

no code implementations ACL 2017 Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui

We present in this paper our approach for modeling inter-topic preferences of Twitter users: for example, those who agree with the Trans-Pacific Partnership (TPP) also agree with free trade.

Stance Detection

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