BanglaSarc3:バングラ語NLPを進めるため,ソーシャルメディアからバングラ語サークル検知のためのベンチマークデータセット
Susmoy Biswas1, Md Mostafizur Rahman Zahid1, Mst Taposi Rabeya1
1Department of Computer Science and Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Data in brief
|September 2, 2025
まとめ
バンガリー語のサークス検知を改善するために新しいデータセット BanglaSarc3 が作成されました. このリソースは,よりよいベンガル語モデルのためのラベル付きのFacebookコメントを提供することで,自然言語処理 (NLP) 研究を支援しています.
科学分野:
- コンピュータ言語学
- 自然言語処理 (NLP)
- 感情分析
背景:
- バンガリー語ではユーモアの一種である サルカズムが誤って解釈されることが多く,コミュニケーションに問題が生じます.
- ベンガル語のサークサムの検出は現在の自然言語処理 (NLP) モデルにとって大きな課題です.
- 専門的なデータセットの必要性は ベンガル語のような 代表が少ない言語における NLP 研究を進めるために不可欠です
研究 の 目的:
- バングラサークス3を紹介します バングラサークス3は バングラサークスを検知するための新しいデータセットです
- ベンガル語サークズム分類のNLPモデルの評価と改善のためのベンチマークデータセットを提供すること.
- 言語の多様性を促進し,包括的で文脈に配慮した言語モデルの開発を支援する.
主な方法:
- 12,089件のフェイスブックコメントを集めたもので 皮肉的,中立的,非皮肉的なカテゴリーに分類されています.
- 匿名化と重複の削除を含むデータ品質の向上を実施する.
- ベンガル語を母語とする3人の独立評価によるデータセットの信頼性の検証
主要な成果:
- バングラサークル3の作成,サークルインスタンス4012個,中性インスタンス4056個,非サークルインスタンス4021個を含むバランスの取れたデータセット.
- ベンガルのサークズム検出に関するNLPモデルのパフォーマンスを評価するためのベンチマークの確立.
- ベンガル語NLPにおける研究協力とイノベーションを促進するためのデータセットのオープンな利用可能性
結論:
- BanglaSarc3はベンガル語のNLP研究,特にサークス検知と分類を進めるための貴重なリソースです.
- このデータセットは,ベンガル語のより正確で文脈に配慮したNLPモデルの開発をサポートします.
- バングラSarc3の利用は,ベンガル語NLPコミュニティ内のさらなる研究と開発を奨励します.
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