Bookmarks

Bookmarks
---------

Bookmarks bar
^^^^^^^^^^^^^

NLP Book Manning
^^^^^^^^^^^^^^^^

pycon2016-twip
^^^^^^^^^^^^^^

http://www.python-course.eu/finite_state_machine.php[Python Advanced:
Finite State Machine in Python]

http://code.activestate.com/recipes/146262-finite-state-machine-fsm/[Finite
State Machine (FSM) « Python recipes « ActiveState Code]

http://www.cs.utsa.edu/~bylander/cs2233/languageshandout.pdf[www.cs.utsa.edu/~bylander/cs2233/languageshandout.pdf]

http://www.deepsky.com/~merovech/voynich/voynich_manchu_reference_materials/PDFs/jurafsky_martin.pdf[www.deepsky.com/~merovech/voynich/voynich_manchu_reference_materials/PDFs/jurafsky_martin.pdf]

https://www.cs.colorado.edu/~martin/SLP/Updates/1.pdf

http://stp.lingfil.uu.se/~santinim/ml/2014/JurafskyMartinSpeechAndLanguageProcessing2ed_draft%202007.pdf[stp.lingfil.uu.se/~santinim/ml/2014/JurafskyMartinSpeechAndLanguageProcessing2ed_draft
2007.pdf]

http://www.librarian.net/wp-content/uploads/science-googlelabs.pdf[www.librarian.net/wp-content/uploads/science-googlelabs.pdf]

file:///home/hobs/Downloads/PLAGIARISM_DETECTION_ALGORITHM_USING_NAT.pdf[PLAGIARISM_DETECTION_ALGORITHM_USING_NAT.pdf]

https://github.com/gunthercox/ChatterBot[gunthercox/ChatterBot]

http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-1/[An
introduction to text analysis with Python, Part 1 | Neal Caren]

http://www.slideshare.net/PyData/authorship-attribution-forensic-linguistics-with-python-scikit-learn-pandas-kostas-perifanos[Authorship
Attribution and Forensic Linguistics with Python/Scikit-Le…]

http://www.fb10.uni-bremen.de/anglistik/langpro/webspace/jb/info-pages/nlg/ATG01/ATG01.html[ATG01]

http://www.aclweb.org/anthology/siggen.html[ACL Anthology » SIGGEN]

http://www.nlg-wiki.org/systems/Timeline_of_NLG_systems_since_2000[Timeline
of NLG systems since 2000 - NLG Systems Wiki]

http://dl.acm.org/citation.cfm?id=1643823.1643908[Implementing an online
help desk system based on conversational agent]

http://www.pnas.org/content/92/22/9977.full.pdf[www.pnas.org/content/92/22/9977.full.pdf]

http://www.csie.ntu.edu.tw/~lyuu/complexity/2012/20120918.pdf[www.csie.ntu.edu.tw/~lyuu/complexity/2012/20120918.pdf]

http://www.frontiersin.org/[Frontiers | Peer Reviewed Articles - Open
Access Journals]

https://dev.twitter.com/overview/api/twitter-libraries#python[Twitter
Libraries | Twitter Developers]

http://www.cs.duke.edu/courses/spring14/compsci290/assignments/lab02.html[Duke
University sklearn TFIDF vectorizer example]

http://www.cs.toronto.edu/~ranzato/publications/ranzato-phd-thesis.pdf[www.cs.toronto.edu/~ranzato/publications/ranzato-phd-thesis.pdf]

http://multithreaded.stitchfix.com/blog/2015/03/11/word-is-worth-a-thousand-vectors/[A
Word is Worth a Thousand Vectors | Stitch Fix Technology –
Multithreaded]

https://github.com/giladlotan/pydatanyc12_gephi_networkx[giladlotan/pydatanyc12_gephi_networkx:
A lecture I gave at PyData NYC 2012 on using the networkx python library
and Gephi to generate a mapping of the python community on Twitter]

http://dataconomy.com/implementing-the-five-most-popular-similarity-measures-in-python/[Implementing
the Five Most Popular Similarity Measures in Python - Dataconomy]

https://us.pycon.org/2016/schedule/presentation/1778/[Presentation:
Making an Impact with Python Natural Language Processing Tools | PyCon
2016 in Portland, OR]

http://localhost:8000/docs/slides/0%20-%20Introduction.html#/making-an-impact-with-python-nlp[localhost:8000/docs/slides/0
- Introduction.html#/making-an-impact-with-python-nlp]

http://corenlp.run/

https://console.api.ai/api-client/#/getStarted[api.ai]

https://developer.pandorabots.com/[chatbots.io]

nlp-corpora-lexica
^^^^^^^^^^^^^^^^^^

https://hashcat.net/forum/thread-1236.html[Word List Downloads]

https://crackstation.net/buy-crackstation-wordlist-password-cracking-dictionary.htm[CrackStation's
Password Cracking Dictionary (Pay what you want!)]

http://storage.googleapis.com/books/ngrams/books/datasetsv2.html[Google
Ngram Viewer]

NLP
^^^

http://papers.nips.cc/paper/1873-on-a-connection-between-kernel-pca-and-metric-multidimensional-scaling[On
a Connection between Kernel PCA and Metric Multidimensional Scaling]

https://engineering.purdue.edu/~malcolm/ibm/pubs/ICASSP2001-Segmentation.pdf[Scale
Space Segmentation and Latent Semantic Indexing for Hierarchical
Semantic Indexing]

http://www.patents.com/us-7137062.html[US Patent # 7,137,062. System and
method for hierarchical segmentation with latent semantic indexing in
scale space - Patents.com]

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0096944[PLOS
ONE: A New Method Combining LDA and PLS for Dimension Reduction]

https://docs.djangoproject.com/en/1.8/topics/testing/overview/[doctest]

http://web.media.mit.edu/~javierhr/files/slidesPCA.pdf[web.media.mit.edu/~javierhr/files/slidesPCA.pdf]

http://www2.ece.ohio-state.edu/~aleix/pami01.pdf[www2.ece.ohio-state.edu/~aleix/pami01.pdf]

https://www.google.com/search?q=A.+Martinez%2C+A.+Kak+PCA+vs+LDA&oq=A.+Martinez%2C+A.+Kak++PCA+vs+LDA&aqs=chrome..69i57.6976j0j7&sourceid=chrome&es_sm=93&ie=UTF-8[A.
Martinez, A. Kak PCA vs LDA - Google Search]

http://www.cse.unr.edu/~bebis/MathMethods/LDA/lecture.pdf[www.cse.unr.edu/~bebis/MathMethods/LDA/lecture.pdf]

Context-Space NLP
^^^^^^^^^^^^^^^^^

https://www.google.com/patents/US7137062[Patent US7137062 - System and
method for hierarchical segmentation with latent semantic ... - Google
Patents]

Skewed Skipgram Kernel
^^^^^^^^^^^^^^^^^^^^^^

http://www.researchgate.net/profile/Sebastian_Pado/publication/221013297_A_Structured_Vector_Space_Model_for_Word_Meaning_in_Context/links/0912f50bcab9830f66000000.pdf[www.researchgate.net/profile/Sebastian_Pado/publication/221013297_A_Structured_Vector_Space_Model_for_Word_Meaning_in_Context/links/0912f50bcab9830f66000000.pdf]

http://delivery.acm.org/10.1145/1860000/1858012/p109-reisinger.pdf?ip=173.240.241.94&id=1858012&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&CFID=561435434&CFTOKEN=14949586&__acm__=1447954375_0f0da7b0814c93ded7ca32da72cc2cd1[delivery.acm.org/10.1145/1860000/1858012/p109-reisinger.pdf?ip=173.240.241.94&id=1858012&acc=OPEN&key=4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E6D218144511F3437&CFID=561435434&CFTOKEN=14949586&__acm__=1447954375_0f0da7b0814c93ded7ca32da72cc]

http://www.cs.fsu.edu/~lifeifei/cis5930/lecture12-a.pdf[www.cs.fsu.edu/~lifeifei/cis5930/lecture12-a.pdf]

https://radimrehurek.com/gensim/models/word2vec.html[gensim:
models.word2vec – Deep learning with word2vec]

http://rare-technologies.com/word2vec-tutorial/[Word2vec Tutorial » RaRe
Technologies]

https://code.google.com/p/word2vec/[word2vec - Tool for computing
continuous distributed representations of words. - Google Project
Hosting]

https://pypi.python.org/pypi/text-sentence/[text-sentence 0.14 : Python
Package Index]

https://github.com/piskvorky/gensim/wiki/Recipes-&-FAQ#q4-how-do-you-output-the-u-s-vt-matrices-of-lsi[Recipes
& FAQ · piskvorky/gensim Wiki]

https://radimrehurek.com/gensim/models/lsimodel.html[gensim:
models.lsimodel – Latent Semantic Indexing]

http://www.ics.uci.edu/~welling/classnotes/papers_class/Fisher-LDA.pdf[www.ics.uci.edu/~welling/classnotes/papers_class/Fisher-LDA.pdf]

https://www.cs.cmu.edu/~tom/10701_sp11/recitations/Recitation_11.pdf

https://www.cs.cmu.edu/~tom/10701_sp11/recitations/[Index of
/~tom/10701_sp11/recitations]

https://www.cs.cmu.edu/~tom/10701_sp11/[Machine Learning 10-701/15-781
Spring 2011]

http://streamhacker.com/2011/10/31/fuzzy-string-matching-python/[Fuzzy
String Matching in Python | StreamHacker]

PyDX-hope
^^^^^^^^^

http://cordova.apache.org/[Apache Cordova]

https://domainpunch.com/tlds/[The Full List of Internet Top-Level and
Country Code Domains (TLDs) | gTLDs, ccTLDs and IDN]

http://jezebel.com/gamergate-trolls-arent-ethics-crusaders-theyre-a-hate-1644984010[#Gamergate
Trolls Aren't Ethics Crusaders; They're a Hate Group]

http://saifmohammad.com/WebPages/lexicons.html[Saif: Lexicons]

https://github.com/vered1986/HypeNet[vered1986/HypeNET: Integrated
path-based and distributional method for hypernymy detection]

http://ronan.collobert.com/pub/matos/2011_nlp_jmlr.pdf[collobert11a.dvi]

https://apps.worldwritable.com/tutorials/chatbot/[Chatbot Fundamentals:
An interactive guide to writing bots in Python]

https://pypi.python.org/pypi/ChatterBot[ChatterBot 0.4.6 : Python
Package Index]

http://corpora2.informatik.uni-leipzig.de/download.html[Wortschatz -
International Portal]

http://www.anc.org/data/masc/downloads/[Downloads | Open American
National Corpus]

http://www.linguistics.ucsb.edu/research/santa-barbara-corpus[Santa
Barbara Corpus of Spoken American English | Department of Linguistics -
UC Santa Barbara]

http://faculty.nps.edu/cmartell/NPSChat.htm[faculty.nps.edu/cmartell/NPSChat.htm]

https://www.opendatascience.com/blog/introduction-deep-learning-for-chatbots-part-1/[Introduction:
Deep Learning for Chatbots | Open Data Science]

http://www.attn.com/stories/10746/bullied-13-year-old-writes-letter-before-suicide?utm_source=facebook&utm_medium=post&utm_campaign=internal[Bullied
13-Year-Old Left Letter Before Suicide]

https://web.archive.org/web/20130827121341/http://cosman246.com/jargon.html[The
Newer Hacker's Dictionary]

http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html[Cornell
Movie-Dialogs Corpus]

http://labrosa.ee.columbia.edu/millionsong/musixmatch#getting[The
musiXmatch Dataset | Million Song Dataset]

http://venturebeat.com/2016/09/02/chatbots-are-a-creation-channel-for-storytelling/[Chatbots
are a creation channel for storytelling | VentureBeat | Bots | by Sar
Haribhakti]

https://domparkhurst.wordpress.com/tag/shelfjoy/[ShelfJoy – Dom's Blog]

http://gizmodo.com/facebook-messenger-chatbots-are-more-frustrating-than-h-1770732045[Facebook
Chatbots Are Frustrating and Useless]

http://www.businesswire.com/news/home/20160602005463/en/Sequel-Chatbot-Platform-Messaging-Apps-Launches-Natural[Sequel
Chatbot Platform for Messaging Apps Launches with Natural Language and
API Integration | Business Wire]

http://randomwalker.info/publications/language-bias.pdf[language-bias.pdf]

http://venturebeat.com/2016/06/05/how-bot-to-bot-could-soon-replace-apis/[How
bot-to-bot could soon replace APIs | VentureBeat | Bots | by Niko
Nelissen, Etouches]

https://issuu.com/lindseyweber5/docs/emoji_by_womanzine[emoji by
WOMANZINE by Forced Meme Productions - issuu]

https://www.theguardian.com/science/2016/sep/01/how-algorithms-rule-our-working-lives[How
algorithms rule our working lives | Cathy O’Neil | Science | The
Guardian]

https://github.com/totalgood/playground[totalgood/playground: Play with
neural networks!]

http://infolab.usc.edu/csci599/Fall2002/paper/IS2_multidimensional-index-structures-in.pdf[IS2_multidimensional-index-structures-in.pdf]

http://ceur-ws.org/Vol-850/paper_grebhahn.pdf[paper_grebhahn.pdf]

http://www.tfidf.com/[Tf-idf :: A Single-Page Tutorial - Information
Retrieval and Text Mining]

http://www.slideshare.net/grigorysapunov/deep-learning-cases-text-and-image-processing[Deep
Learning Cases: Text and Image Processing]

http://www.lifehacker.com.au/2016/05/meet-viv-the-future-of-chatbots-and-artificial-intelligence/[Meet
Viv: The Future Of Chatbots And Artificial Intelligence | Lifehacker
Australia]

http://bgr.com/2016/03/17/siri-inventor-dag-kittlaus-viv-global-brain/[Siri
Inventor Dag Kittlaus hypes up “Viv”, the next big leap in AI | BGR]

http://isw3.naist.jp/~lasguido-l/me/__paper__/nio.ieice.2014.pdf[nio.ieice.2014.pdf]

http://arxiv.org/pdf/1603.06042v2.pdf[1603.06042v2.pdf]

https://storage.googleapis.com/amy-jo/talks/tf-workshop.pdf[tf-workshop.pdf]

https://research.googleblog.com/2016/05/chat-smarter-with-allo.html[Research
Blog: Chat Smarter with Allo]

https://www.safaribooksonline.com/oriole/?utm_source=oreilly&utm_medium=newsite&utm_campaign=oriole-deep-learning[Oriole
Online Tutorials]

http://conferences.oreilly.com/strata/hadoop-big-data-ny/public/schedule/detail/52036[Conditional
recurrent neural nets, generative AI Twitter bots, and DL4J: Big data
conference: Strata + Hadoop World, September 26 - 29, 2016, New York,
NY]

https://django-rest-swagger.readthedocs.io/en/latest/[``]

https://www.postgresql.org/docs/9.1/static/fuzzystrmatch.html[PostgreSQL:
Documentation: 9.1: fuzzystrmatch]

http://uxchat.me/[Daily UX conversations with your friendly UX Bear - UX
Chat]

http://mypersonality.org/wiki/doku.php?id=register[register
[myPersonality Project]]

forum moderation and chatbots
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

http://blog.kaggle.com/2012/09/26/impermium-andreas-blog/[Troll
Detection with Scikit-Learn | No Free Hunch]

http://www.businessinsider.com/chinese-search-giant-baidu-has-launched-a-medical-chatbot-2016-10?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+typepad%2Falleyinsider%2Fsilicon_alley_insider+%28Silicon+Alley+Insider%29[Chinese
search giant Baidu has launched a medical chatbot]

https://www.ozlo.com/[Ozlo]

https://liberalarts.utexas.edu/psychology/faculty/pennebak[UT College of
Liberal Arts:]

http://analyzewords.com/science.php[The Science Behind AnalyzeWords.com]

http://www.comp.leeds.ac.uk/eric/abushawar05icamej.pdf[abushawar05icamej.pdf]

https://www.andy-roberts.net/res/writing/ltc05_faqchat.pdf[ltc05_faqchat.pdf]

https://github.com/github/hubot[github/hubot: A customizable life
embetterment robot.]

https://hubot.github.com/docs/[HUBOT]

http://www.lawgazette.co.uk/news/chatbot-pioneer-builds-free-tool-for-law-firms/5058339.fullarticle[‘Chatbot’
pioneer builds free tool for law firms | News | Law Society Gazette]

https://ai.icymi.email/obamas-report-on-the-future-of-artificialintelligence-the-main-takeaways-zdnet/[​Obama's
report on the future of artificial intelligence: The main takeaways -
Artificial Intelligence]

https://manning.app.box.com/v/author-resources[Box | Simple Online
Collaboration: Online File Storage, FTP Replacement, Team Workspaces]

http://www.programmableweb.com/category/dictionary/api[49 Dictionary
APIs | ProgrammableWeb]

http://www.clips.ua.ac.be/pages/pattern[Pattern | CLiPS]

http://www.clips.ua.ac.be/datasets[Datasets | CLiPS]

http://www.clips.ua.ac.be/datasets/twisty-corpus[TwiSty Corpus | CLiPS]

http://textminingonline.com/getting-started-with-pattern[Getting Started
with Pattern – Text Mining Online]

http://web.stanford.edu/class/cs276/[CS276: Information Retrieval and
Web Search]

http://nlp.stanford.edu/IR-book/html/htmledition/contents-1.html[Contents]

http://sebastianraschka.com/Articles/2014_python_lda.html[Linear
Discriminant Analysis bit by bit]

https://m.youtube.com/watch?feature=youtu.be&v=AOU-Yw1qdJs[Natural
language processing in Python using NLTK. Part 1/3 - YouTube]

https://github.com/jacobeisenstein/gt-nlp-class?files=1[jacobeisenstein/gt-nlp-class]

https://github.com/keonkim/awesome-nlp/blob/master/README.md#user-content-python[GitHub
· Where software is built]


