Julien Chaumond
8a2d9bc9ef
* add empty model cards for every current DeepPavlov model * fix: replace cyrillic `с` with `c` * docs: add model cards for current DeepPavlov BERT models * docs: add links for arXiv preprints
24 lines
1.1 KiB
Markdown
24 lines
1.1 KiB
Markdown
---
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language:
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- english
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---
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# bert-base-cased-conversational
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Conversational BERT \(English, cased, 12-layer, 768-hidden, 12-heads, 110M parameters\) was trained
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on the English part of Twitter, Reddit, DailyDialogues\[1\], OpenSubtitles\[2\], Debates\[3\], Blogs\[4\],
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Facebook News Comments. We used this training data to build the vocabulary of English subtokens and took
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English cased version of BERT-base as an initialization for English Conversational BERT.
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\[1\]: Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. DailyDialog: A Manually Labelled
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Multi-turn Dialogue Dataset. IJCNLP 2017.
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\[2\]: P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles.
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In Proceedings of the 10th International Conference on Language Resources and Evaluation \(LREC 2016\)
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\[3\]: Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil. Proceedings of NAACL, 2016.
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\[4\]: J. Schler, M. Koppel, S. Argamon and J. Pennebaker \(2006\). Effects of Age and Gender on Blogging
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in Proceedings of 2006 AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs.
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