Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈:
言語における皮肉とは、ある陳述がある意味で表現されるが、意図する意味がまったく反対である場合を指します。例えば、トーストを焦がしてしまった人がそれを出して「少し火が通っていないですね」と皮肉っぽく言うことがあります。言語が皮肉であることを自動的に検出することは、自然言語処理において特に難しいタスクです。
内容:
このデータセットには1950件のコメントが含まれており、人間のアノテーターによって皮肉である（1）か皮肉でない（-1）かがラベル付けされています。テキストはRedditのコメントから取得されたものです。
謝辞:
このデータセットとその分析は、以下の論文で紹介されています。
Wallace, B. C., Do Kook Choe, L. K., Kertz, L., & Charniak, E. (2014年4月). Humans Require Context to Infer Ironic Intent (so Computers Probably do, too). In ACL (2) (pp. 512 - 516). URL: http://www.byronwallace.com/static/articles/wallace - irony - acl - 2014.pdf
陸軍研究局（ARO）の助成金64481 - MA / W9111F - 13 - 1 - 0406によって可能になりました。
「社会言語学的に知見を得た自然言語処理：皮肉検出の自動化」
着想:
* 特定のトピックを議論する際に皮肉が使われる可能性は高いですか？
* 皮肉なテキストは、よりポジティブな感情を持つ傾向があるのか、それともネガティブな感情を持つ傾向があるのか？
* 皮肉を検出するのに役立つ新しい特徴をどのように開発できますか？
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
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