Masatoshi Yoshikawa


2020

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Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing
Sora Lim | Adam Jatowt | Michael Färber | Masatoshi Yoshikawa
Proceedings of the 12th Language Resources and Evaluation Conference

The spread of biased news and its consumption by the readers has become a considerable issue. Researchers from multiple domains including social science and media studies have made efforts to mitigate this media bias issue. Specifically, various techniques ranging from natural language processing to machine learning have been used to help determine news bias automatically. However, due to the lack of publicly available datasets in this field, especially ones containing labels concerning bias on a fine-grained level (e.g., on sentence level), it is still challenging to develop methods for effectively identifying bias embedded in new articles. In this paper, we propose a novel news bias dataset which facilitates the development and evaluation of approaches for detecting subtle bias in news articles and for understanding the characteristics of biased sentences. Our dataset consists of 966 sentences from 46 English-language news articles covering 4 different events and contains labels concerning bias on the sentence level. For scalability reasons, the labels were obtained based on crowd-sourcing. Our dataset can be used for analyzing news bias, as well as for developing and evaluating methods for news bias detection. It can also serve as resource for related researches including ones focusing on fake news detection.

2003

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Learning Bilingual Translations from Comparable Corpora to Cross-Language Information Retrieval: Hybrid Statistics-based and Linguistics-based Approach
Fatiha Sadat | Masatoshi Yoshikawa | Shunsuke Uemura
Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages

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Cross-Language Information Retrieval Based on Category Matching Between Language Versions of a Web Directory
Fuminori Kimura | Akira Maeda | Masatoshi Yoshikawa | Shunsuke Uemura
Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages

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Bilingual Terminology Acquisition from Comparable Corpora and Phrasal Translation to Cross-Language Information Retrieval
Fatiha Sadat | Masatoshi Yoshikawa | Shunsuke Uemura
The Companion Volume to the Proceedings of 41st Annual Meeting of the Association for Computational Linguistics