826 research outputs found
A Scientific Journal List at Japanese News Articles
No full textAbstract (our paper)
In Japanese scientific news articles, although the research results are described clearly, the article's sources tend to be uncited. This makes it difficult for readers to know the details of the research. In this paper, we address the task of extracting journal names from Japanese scientific news articles. We hypothesize that a journal name is likely to occur in a specific context. To support the hypothesis, we construct a character-based method and extract journal names using this method. This method only uses the left and right context features of journal names. The results of the journal name extractions suggest that the distribution hypothesis plays an important role in identifying the journal names.
Data
list.txt.gz:
The first column is the extraction text by our method (journal name), the second column is the cleaned text, the third column is the news date, and the fourth column is the news URL.
Publication
This data set is part of our experimental results. If you make use of this data set, please cite:
Masato Kikuchi, Kento Kawakami, Mitsuo Yoshida, Kyoji Umemura. Conservative Direct Estimation for Likelihood Ratios Based on Observed Frequencies. The IEICE Transactions on Information and Systems (Japanese edition). vol.J102-D, no.4, pp.289-301, 2019.
Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura. Journal Name Extraction from Japanese Scientific News Articles. Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018. pp.143-148, 2018. [DOI]
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精神疾患における電気けいれん療法の神経生理学的変化―非線形脳波解析による検討―
No full text以下に掲載：Journal of Affective Disorders 150 pp.389-392 2013. Elsevier 共著者：Ryoko Okazaki, Tetsuya Takahashi ,Kanji Ueno, Koichi Takahashi, Masato Higashirna, Yuji Wada以下に掲載：Frontiers in Human Neuroscience 9(106) pp.1-7 2015. Frontiers 共著者：Ryoko Okazaki, Tetsuya Takahashi, Kanji Ueno, Koichi Takahashi, Makoto Ishitobi, Mitsuru Kikuchi, Masato Higashima, Yuji Wad
TANGENT SEQUENCE OF R.V.'S ニ ツイテ HITCZENKO ラノ MARTINGALE フトウシキ エノ オウヨウ MARTINGALE ニ カンレン スル ショモンダイ
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On some inequalities for the optional projection and the predictable projection of a discrete parameter process
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Using visualization to illustrate the values underpinning large-scale communities
No full textOver the last three decades, the dynamic nature of internet cultures has been continually reshaping the landscape of discourse analysis. This transformation necessitates constant methodological innovation, a challenge this thesis aims to address by focusing on the role of data visualization in discourse analysis. Particularly, it investigates the cross- cultural discourse occurring in large-scale online events. I argue that data visualizations offer a potent lens for uncovering and reinforcing implicit values within online communities. They provide tangible evidence of these values, weaving together narratives from seemingly scattered data. Over the course of this study, I have delved into an impressive corpus of over 249,232 chat messages, dedicating 3 hours 17 minutes and 4 seconds to the content exploration. However, despite the power of data visualization, it's important to acknowledge its limitations. A comprehensive understanding of the community being studied is indispensable, without which the full potential of data visualization cannot be realized. In this longitudinal study, I analyze three significant live streams—1) [DEBUT STREAM] SHAAAAAARK, Sep 12th, 2020; 2) Reacting to my Debut Stream., March 13th, 2021; 3)【3D BIRTHDAY】PARTY TIME!, June 20th, 2022—hosted by the popular Virtual YouTuber (VTuber), Gawr Gura. Collectively, these events highlight an underlying aesthetic of cuteness, a value binding Gura’s community of chumbuds together. These parasocial relationships are defined by bidirectional interaction, emotional reactions, and a shared suspension of disbelief, mediated through an avatar. This constructed character facilitates a unique dynamic, where the aesthetic of cuteness becomes a cultural value. While other values exist within the community, this thesis primarily concentrates on the argument for cuteness, made evident through data visualization. These values are embodied and reinforced in the discourse patterns played out between Gawr Gura and her audience. Community actors such as clippers reinforce these patterns and values. They do so by capturing memorable stream moments, upholding community guidelines, and modeling appropriate behavior to newcomers.
In conclusion, this thesis identifies and explores a model of large-scale online discourse driven by live-stream events. It highlights the significance of data visualization in analyzing this model, the patterns structuring it, and the values underpinning it. This approach offers a new dimension to the study of discourse in large-scale online communities, reflecting the continuous evolution of methods in response to the ever-changing landscape of internet cultures.M.S
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