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Abram Hindle先生に,研究室に向けて講演していただきました (2018/06/14)
プログラムの自然さの分析などで有名なカナダのアルバータ大学のヒンドル先生の講演会がありました。
Abstract:
Natural Language Models and Deep Learning Models of Source Code are competing but serious roadblocks exist in terms of vocabulary size and applicability to real-world unseen projects. Worse yet, it seems that many cases language models do better than deep learned models even when the vocabulary is restricted. In this talk I will describe the work of Eddie Antonio Santos and Joshua Campbell on fixing syntax errors in a variety of programming languages using a variety of models. Furthermore the extension of treating source code as text is extended into the information retrieval domain.
Pictures