ACL 2018 Highlights: Understanding Representations and Evaluation in More Challenging Settings
Probing models It was very refreshing to see that rather than introducing ever shinier new models, many papers methodically investigated existing models and what they capture. This was most commonly done by automatically creating a dataset that focuses on one particular aspect of the generalization behaviour and evaluating different trained models on this dataset: Conneau et al. for instance evalu
ACL 2017 Report - Preferred Networks Research & Development
Writers: Yuta Kikuchi, Sosuke Kobayashi Preferred Networks (PFN) attended the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017) in Vancouver, Canada. ACL is one of the largest conferences in the Natural Language Processing (NLP) field. As in other Machine Learning research fields, use of deep learning in NLP is increasing. The most popular topic in NLP deep learning i
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