Search Results for author:
Found 11 papers, 5 papers with code
Exploring Methods for Generating Feedback Comments for Writing Learning
To shed light on these points, we investigate a wider range of methods for generating many feedback comments in this study.
Shared Task on Feedback Comment Generation for Language Learners
In this paper, we propose a generation challenge called Feedback comment generation for language learners.
Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
In this paper, we explore the capacity of a language model-based method for grammatical error detection in detail.
Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation
The performance measures are based on the simple idea that the more systems successfully correct an error, the easier it is considered to be.
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
Neural Machine Translation (NMT) has shown drastic improvement in its quality when translating clean input, such as text from the news domain.
Evaluation of Similarity-based Explanations
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
Our system achieved 80. 9{\%} accuracy on the test set for the formal run and got the 3rd place out of 42 teams.
Suspicious News Detection Using Micro Blog Text
We present a new task, suspicious news detection using micro blog text.
Predicting Stances from Social Media Posts using Factorization Machines
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.
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
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.
