Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
590 views
in Technique[技术] by (71.8m points)

syntax - How to Get Dependency Parse Output from SyntaxNet

How do you get a dependency parse (not syntax tree) output from SyntaxNet (https://github.com/tensorflow/models/tree/master/syntaxnet) ? I see a description of dependency parsing...a description of how to train a model, but not how to get dependency parse output.

Does SyntaxNet (Specifically the Parsey McParseface model) even do dependency parsing out of the box?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

Passing --arg_prefix brain_parser to the parser_eval.py should do the trick. But this requires the tagged output to be fed as input.

Here's an example where the first pass tags the words and the second pass resolves dependencies:

echo 'The quick brown fox ran over the lazy dog.' | bazel-bin/syntaxnet/parser_eval 
--input stdin 
--output stdout-conll 
--model syntaxnet/models/parsey_mcparseface/tagger-params 
--task_context syntaxnet/models/parsey_mcparseface/context.pbtxt 
--hidden_layer_sizes 64 
--arg_prefix brain_tagger 
--graph_builder structured 
--slim_model 
--batch_size 1024 | bazel-bin/syntaxnet/parser_eval 
--input stdin-conll 
--output stdout-conll 
--hidden_layer_sizes 512,512 
--arg_prefix brain_parser 
--graph_builder structured 
--task_context syntaxnet/models/parsey_mcparseface/context.pbtxt 
--model_path syntaxnet/models/parsey_mcparseface/parser-params 
--slim_model --batch_size 1024

This generates the following output:

1       The     _       DET     DT      _       4       det     _       _
2       quick   _       ADJ     JJ      _       4       amod    _       _
3       brown   _       ADJ     JJ      _       4       amod    _       _
4       fox     _       NOUN    NN      _       5       nsubj   _       _
5       ran     _       VERB    VBD     _       0       ROOT    _       _
6       over    _       ADP     IN      _       5       prep    _       _
7       the     _       DET     DT      _       9       det     _       _
8       lazy    _       ADJ     JJ      _       9       amod    _       _
9       dog     _       NOUN    NN      _       6       pobj    _       _
10      .       _       .       .       _       5       punct   _       _

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...