roywei commented on a change in pull request #12960: Update tree lstm example URL: https://github.com/apache/incubator-mxnet/pull/12960#discussion_r227973498
########## File path: example/gluon/tree_lstm/README.md ########## @@ -0,0 +1,29 @@ + +# Tree-Structured Long Short-Term Memory Networks +This is a [MXNet Gluon](https://mxnet.io/) implementation of Tree-LSTM as described in the paper [Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks](http://arxiv.org/abs/1503.00075) by Kai Sheng Tai, Richard Socher, and Christopher Manning. + +### Requirements +- Python (tested on **3.6.5**, should work on **>=2.7**) +- Java >= 8 (for Stanford CoreNLP utilities) +- Other dependencies are in `requirements.txt` +Note: Currently works with MXNet 1.3.0. + +### Usage +Before delving into how to run the code, here is a quick overview of the contents: + - Use the script `fetch_and_preprocess.sh` to download the [SICK dataset](http://alt.qcri.org/semeval2014/task1/index.php?id=data-and-tools), [Stanford Parser](http://nlp.stanford.edu/software/lex-parser.shtml) and [Stanford POS Tagger](http://nlp.stanford.edu/software/tagger.shtml), and [Glove word vectors](http://nlp.stanford.edu/projects/glove/) (Common Crawl 840) -- **Warning:** this is a 2GB download!), and additionally preprocees the data, i.e. generate dependency parses using [Stanford Neural Network Dependency Parser](http://nlp.stanford.edu/software/nndep.shtml). Review comment: nit: `additionally preprocees the data` -> preprocess ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
