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9 years ago Hello everyone,
Stanford NLP is pleased to announce version 3.5.0 of our software tools.
There are two big new things in this release:
1. Version 3.5.0 includes the first release of a new high performance
dependency parser. You can use it in Stanford CoreNLP as the depparser
annotator, or run it standalone using the Stanford Parser. This is a neural
network-based shift-reduce (or transition-based) dependency parser. It can
provide the same kind of fast dependency parsing as parsers such as MaltParser,
DeSR or zpar; indeed the efficient neural network model allows it to be faster
than MaltParser. It is described in the paper:
Danqi Chen and Christopher D Manning. A Fast and Accurate Dependency Parser
using Neural Networks. EMNLP 2014.
At present, this parser only supports English Stanford Dependencies. (In the
parser download, we also include models trained for CoNLL 2008 English and
CoNLL 2006 Chinese.) Our intention is to support more languages in the next
release. It should also be noted that this parser does not produce phrase
structure constituents, and so at present you cannot use it with the
coreference system, which requires constituency parsers. However, if the main
thing you want is English Stanford Dependencies output, you should definitely
check it out! It’s fast.
2. Version 3.5.0 moves the Stanford NLP tools to Java 8, including making some
incompatible changes. We realize that stability and compatibility is important
to people, and hence for many years we have kept our Stanford NLP tools so that
they were compiled with and ran under Java 6+. However, we felt that we
couldn’t stay on Java 6 forever, and now seemed a good time to take advantage
of the big benefits that come from the new functional programming support in
Java 8. Hence, barring finding any terrible bugs, the end of August release,
version 3.4.1 will be the final release that runs under Java 6. This release
requires Java 8.
If we were moving to Java 8, it seemed useful to then make some incompatible
changes so that our tools took advantage of Java 8. In particular, from our
util classes, we removed our Function and Filter interfaces, and replaced them
with the java.util.function Function and Predicate interfaces. This lets our
code work much more smoothly with the innovations of Java 8. And at the same
time, we improved the API of our util class Index, which was quite poor. We
haven’t gone out of our way to make things incompatible, so most code
operating with the higher-level interfaces of Stanford NLP software will work
just as before, but if you are working with our code at a lower level, then you
might have to make some code changes to update your software for these changes.
Version 3.5.0 also includes a new annotator for relation extraction and
improved code for pattern learning. You can find usage information for the
relation extractor here.
As usual, there are also other bug fixes and minor improvements. These include
adding the use of classifiers trained with the Stanford Classifier to CoreNLP
pipelines, and new output formats that provide CoNLL-style and JSON output from
CoreNLP.
CoreNLP version 3.5.0 is available for download from the main CoreNLP page.
We will be releasing an updated Maven artifact shortly.
Enjoy!
Jon Gauthier
Stanford Natural Language Processing GroupOriginal comment by richard.eckart on 30 Oct 2014 at 6:30
Original issue reported on code.google.com by
richard.eckarton 29 Oct 2014 at 11:31