転移学習とか統計的機械翻訳とか

読みたい論文，読みたい本が溜まってきた．ううう．とりあえず興味があるものの一部を列挙してみる．

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最低限読んでおきたい論文

• Sinno Jialin Pan and Qiang Yang. A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering (2009)
  • 転移学習のサーベイ論文．
• Kevin Knight. A Statistical MT Tutorial Workbook. Prepared for the 1999 JHU Summer Workshop (1999)
  • 統計的機械翻訳の基礎的なことがチュートリアル形式で書かれている．

興味がある論文

• Hal Daumé III and Daniel Marcu. Domain Adaptation for Statistical Classifiers. Journal of Artificial Intelligence Research (2006) vol. 26 pp. 101-126
• John Blitzer et al. Domain Adaptation with Structural Correspondence Learning. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2006) pp. 120-128
• Michel Galley et al. What's in a translation rule?. Proceedings of HLT-NAACL (2004)
• Franz Josef Och and Hermann Ney. Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) (2002) pp. 295-302
• Kishore Papineni et al. BLEU: a Method for Automatic Evaluation of Machine Translation. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) (2002) pp. 311-318

本

欲しい．

Statistical Machine Translation

id:mamorukさんのレビューが参考になる．
Philipp Koehn の Statistical Machine Translation - 武蔵野日記

参考記事

統計的機械翻訳の分野で最低限読むべき論文については以下の記事が参考になるかも．

• Statistical Machine Translation Tutorial
• What are the most important research papers which all NLP students should definitely read? - Quora

自然言語処理のカンファレンスのレベルの話．へぇ〜へぇ〜．

• 自然言語処理のトップカンファレンス - 武蔵野日記