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Nice tutorial on howto automatically publish your Python module on PyPi via Travis CI.
However you need to change the server address for the test deployment to:
In this post, I want to show how I use NLTK for preprocessing and tokenization, but then apply machine learning techniques (e.g. building a linear SVM using stochastic gradient descent) using Scikit-Learn.
In this post you will see 5 recipes of supervised classification algorithms applied to small standard datasets that are provided with the scikit-learn library.
This post is meant as a summary of many of the concepts that I learned in Marti Hearst's Natural Language Processing class at the UC Berkeley School of Information.
Data sets I have developed and used in my research.
This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language.
If you use the code, please kindly cite the following paper:
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. The 29th AAAI Conference on Artificial Intelligence (AAAI'15).
The code is an implementation of the paper http://www.aclweb.org/anthology/C14-1220 using tensorflow.
The CNN architecture implemented is inspired be Nguyen et al. 2015
In this project, we provide our implementations of a word-level and sentence-level combined Bidirectional GRU network (BGRU+2ATT).
In this project, we provide our implementations of CNN [Zeng et al., 2014] and PCNN [Zeng et al.,2015] and their extended version with sentence-level attention scheme [Lin et al., 2016] .
NYT10 is originally released by the paper "Sebastian Riedel, Limin Yao, and Andrew McCallum. Modeling relations and their mentions without labeled text."
Relation extraction on an open-domain knowledge base
Accompanying repository for our EMNLP 2017 paper. It contains the code to replicate the experiments and the pre-trained models for sentence-level relation extraction.
Proceedings of the 26th International Conference on World Wide Web Companion, page 717--721. International World Wide Web Conferences Steering Committee, ( ) 2017
International Semantic Web Conference, page 542--558. Springer, ( ) 2017
International Semantic Web Conference, page 329--346. Springer, ( ) 2017
ACL 2016 workshop on Representation Learning for NLP (RepL4NLP), page ( 62--69. ) 2016
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, page ( 1687--1692. ) 2015
( Language Resources and Evaluation ( 43 3):
209--226 ) Sep 1, 2009
( International journal of machine learning and cybernetics ( 2 2):
107--122 ) 2011
( IEEE Transactions on Knowledge and Data Engineering ( 26 9):
2250--2267 ) 2014
( Knowledge-based systems ) 2013
( Proceedings of the Data Mining for Cyber Security Workshop (DMCS) at ICDM, ) 2017 to appear.
( arXiv preprint arXiv:1703.04096 ) 2017
Proceedings of the 16th European Conference on Cyber Warfare and Security (ECCWS), page 361--369. ( ACPI, ) 2017
( Proceedings of the LWDA, ) 2017 to appear.
( ISWC'17, ) 2017 accepted at ISWC 2017; to appear.
Graz University of Technology, ( ) 2014
) 2016 cite arxiv:1607.02531.
( Springer Science & Business Media, ) 2012
( Data Mining and Knowledge Discovery ( 29 3):
626--688 ) 2015
( IAENG International Journal of Computer Science ) 2015