Update README.md

Author: keon

README.md

@@ -15,9 +15,11 @@ Maintainers - [Keon Kim](http://github.com/keonkim)
  - [Articles](#articles)
    - [Word Vectors](#word-vectors)
    - [Speech Recognition](#natural-langauge)
+   - [Supplementary Materials](#supplementary-materials)
  - [Tutorials](#tutorials)
  - [Blogs](#blogs)
  - [Online Demos](#online-demos)
+ - [Credits](#credits)
 
 ## Codes
 
@@ -34,13 +36,38 @@ Maintainers - [Keon Kim](http://github.com/keonkim)
 * [Skip Thought Vectors](http://arxiv.org/abs/1506.06726) - word representation method
 * [Adaptive skip-gram](http://arxiv.org/abs/1502.07257) - similar approach, with adaptive properties
 
-### Natural Language
+### General Natural Language
 * [Neural autocoder for paragraphs and documents](http://arxiv.org/abs/1506.01057) - LTSM representation
 * [LTSM over tree structures](http://arxiv.org/abs/1503.04881)
 * [Sequence to Sequence Learning](http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf) - word vectors for machine translation
 * [Teaching Machines to Read and Comprehend](http://arxiv.org/abs/1506.03340) - DeepMind paper
+* [Efficient Estimation of Word Representations in Vector Space](http://arxiv.org/pdf/1301.3781.pdf)
+* [Improving distributional similarity with lessons learned from word embeddings](https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/viewFile/570/124)
+* [Low-Dimensional Embeddings of Logic](http://www.aclweb.org/anthology/W/W14/W14-2409.pdf)
+* Tutorial on Markov Logic Networks ([based on this paper](http://homes.cs.washington.edu/~pedrod/papers/mlj05.pdf))
+* [Markov Logic Networks for Natural Language Question Answering](http://arxiv.org/pdf/1507.03045v1.pdf)
+* [Distant Supervision for Cancer Pathway Extraction From Text](http://research.microsoft.com/en-us/um/people/hoifung/papers/psb15.pdf)
+* [Privee: An Architecture for Automatically Analyzing Web Privacy Policies](http://www.sebastianzimmeck.de/zimmeckAndBellovin2014Privee.pdf)
+* [A Neural Probabilistic Language Model](http://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf)
+* [Template-Based Information Extraction without the Templates](http://www.usna.edu/Users/cs/nchamber/pubs/acl2011-chambers-templates.pdf)
+* [Retrofitting word vectors to semantic lexicons](http://www.cs.cmu.edu/~mfaruqui/papers/naacl15-retrofitting.pdf)
+* [Unsupervised Learning of the Morphology of a Natural Language](http://www.mitpressjournals.org/doi/pdfplus/10.1162/089120101750300490)
+* [Natural Language Processing (Almost) from Scratch](http://arxiv.org/pdf/1103.0398.pdf)
+* [Computational Grounded Cognition: a new alliance between grounded cognition and computational modelling](http://journal.frontiersin.org/article/10.3389/fpsyg.2012.00612/full)
+* [Learning the Structure of Biomedical Relation Extractions](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004216)
+* [Relation extraction with matrix factorization and universal schemas](http://www.anthology.aclweb.org/N/N13/N13-1008.pdf)
 
+### Supplementary Materials
+* [Word2Vec](https://github.com/clulab/nlp-reading-group/wiki/Word2Vec-Resources)
+* [Relation Extraction with Matrix Factorization and Universal Schemas](http://www.riedelcastro.org//publications/papers/riedel13relation.pdf)
+* [Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors](http://www.aclweb.org/anthology/S13-1001)
+* [Presentation slides for MLN tutorial](https://github.com/clulab/nlp-reading-group/blob/master/fall-2015-resources/mln-summary-20150918.ppt)
+* [Presentation slides for QA applications of MLNs](https://github.com/clulab/nlp-reading-group/blob/master/fall-2015-resources/Markov%20Logic%20Networks%20for%20Natural%20Language%20Question%20Answering.pdf)
+* [Presentation slides](https://github.com/clulab/nlp-reading-group/blob/master/fall-2015-resources/poon-paper.pdf)
+* [Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations](https://homes.cs.washington.edu/~clzhang/paper/acl2011.pdf)
 
 
 
-part of the lists are from [ai-reading-list](https://github.com/m0nologuer/AI-reading-list)
+
+## Credits
+part of the lists are from [ai-reading-list](https://github.com/m0nologuer/AI-reading-list) and [nlp-reading-group](https://github.com/clulab/nlp-reading-group/wiki/Fall-2015-Reading-Schedule/_edit)