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pro vyhledávání: '"Zumer, Jeremie"'
Autor:
Zumer, Jeremie
Modern proteomics – the large-scale analysis of proteins (Graves and Haystead, 2002) – relies heavily on the analysis of complex raw experimental, time series-like data. In a typical shotgun mass spectrometry workflow where the goal is to identif
Representation learning is at the heart of what makes deep learning effective. In this work, we introduce a new framework for representation learning that we call "Holographic Neural Architectures" (HNAs). In the same way that an observer can experie
Externí odkaz:
http://arxiv.org/abs/1806.00931
Automated metrics such as BLEU are widely used in the machine translation literature. They have also been used recently in the dialogue community for evaluating dialogue response generation. However, previous work in dialogue response generation has
Externí odkaz:
http://arxiv.org/abs/1706.09799
Recently, resources and tasks were proposed to go beyond state tracking in dialogue systems. An example is the frame tracking task, which requires recording multiple frames, one for each user goal set during the dialogue. This allows a user, for inst
Externí odkaz:
http://arxiv.org/abs/1706.01690
Autor:
Asri, Layla El, Schulz, Hannes, Sharma, Shikhar, Zumer, Jeremie, Harris, Justin, Fine, Emery, Mehrotra, Rahul, Suleman, Kaheer
This paper presents the Frames dataset (Frames is available at http://datasets.maluuba.com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per dialogue. We developed this dataset to study the role of memory in goal-oriente
Externí odkaz:
http://arxiv.org/abs/1704.00057
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