Parsey McParseface Model
A Parsey McParseface Model is a English syntactic parsing model created by the SyntaxNet system based on ...
References
2016a
- https://ai.googleblog.com/2016/05/announcing-syntaxnet-worlds-most.html
- QUOTE: ... Today, we are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. ...
2016b
- Parsey McParseface', the 'world's most accurate ...* https://github.com/tensorflow/models/tree/master/syntaxnet
- QUOTE: … Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text.
So, how accurate is Parsey McParseface? For this release, we tried to balance a model that runs fast enough to be useful on a single machine (e.g. ~600 words/second on a modern desktop) and that is also the most accurate parser available. Here's how Parsey McParseface compares to the academic literature on several different English domains: (all numbers are % correct head assignments in the tree, or unlabelled attachment score). We see that Parsey McParseface is state-of-the-art; more importantly, with SyntaxNet you can train larger networks with more hidden units and bigger beam sizes if you want to push the accuracy even further: Andor et al. (2016) is simply a SyntaxNet model with a larger beam and network. …
- QUOTE: … Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text.
Model News Web Questions
Martins et al. (2013) 93.10 88.23 94.21
Zhang and McDonald (2014) 93.32 88.65 93.37
Weiss et al. (2015) 93.91 89.29 94.17
Andor et al. (2016) 94.44 90.17 95.40
Parsey McParseface 94.15 89.08 94.77
2016c
- https://github.com/tensorflow/models/tree/master/syntaxnet
- QUOTE: Parsey McParseface is also state-of-the-art for part-of-speech (POS) tagging (numbers below are per-token accuracy) …
A TensorFlow implementation of the models described in Andor et al. (2016). … SyntaxNet, an open-source neural network framework for TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text.
- QUOTE: Parsey McParseface is also state-of-the-art for part-of-speech (POS) tagging (numbers below are per-token accuracy) …
- http://googleresearch.blogspot.tw/2016/05/announcing-syntaxnet-worlds-most.html
- QUOTE: … Parsey McParseface and other SyntaxNet models are some of the most complex networks that we have trained with the TensorFlow framework …
2016d
- (Andor et al., 2016) ⇒ Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. (2016). “Globally Normalized Transition-based Neural Networks.” In: arXiv preprint arXiv:1603.06042.