nlpers.blogspot.com
natural language processing blogmy biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)
http://nlpers.blogspot.com/
my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)
http://nlpers.blogspot.com/
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natural language processing blog | nlpers.blogspot.com Reviews
https://nlpers.blogspot.com
my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)
nlpers.blogspot.com
natural language processing blog: EMNLP 2014 paper list (with mini-reviews)
https://nlpers.blogspot.com/2014/11/emnlp-2015-paper-list-with-mini-reviews.html
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). EMNLP 2014 paper list (with mini-reviews). Identifying Argumentative Discourse Structures in Persuasive Essays. Christian Stab, Iryna Gurevych). As to their rhetorical class (of those four possibilities) and connecting them with binary support/non-support labels. Overall, they do quite well at both tasks: hi...
natural language processing blog: 2014/06
https://nlpers.blogspot.com/2014_06_01_archive.html
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). Divergences passed through Bayes' rule. In a previous post. S comments, we talked about Bayes rule and things like that. This got me wondering about the following question:. If we know p(A) and p(B A), we can reconstruct p(A B) perfectly by Bayes' rule. What if we only have estimates of p(A) and p(B A)? Now, let...
natural language processing blog: Some NAACL 2013 statistics on author response, review quality, etc.
https://nlpers.blogspot.com/2015/06/some-naacl-2013-statistics-on-author.html
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). Some NAACL 2013 statistics on author response, review quality, etc. NAACL 2015 has just passed, NAACL 2013 is long in the past. One bonus of being a program chair is that you get to have fun with data. In this post I'd like to review two pieces of data, one related to author response. Perhaps people with clear o...
natural language processing blog: The myth of a strong baseline
https://nlpers.blogspot.com/2014/11/the-myth-of-strong-baseline.html
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). The myth of a strong baseline. In fact, I remember back in 2005 I visited MIT and gave a talk on what eventually became the BayeSum paper. At the time I gave this talk the answer was no. In the actual paper the answer is yes. I think Regina was really on to something here, and this one question asked in ...Like ...
natural language processing blog: My NAACL 2013 list...
https://nlpers.blogspot.com/2013/06/my-naacl-2013-list.html
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). My NAACL 2013 list. General chair and that working with her made even the least pleasant parts of PCing fun. So: thanks Lucy - I can't imagine having someone better to have worked with! And all of the rest of you: if you see Lucy and if you enjoyed NAACL, please thank her! Also indexed on Braque. By Dan Garrette...
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March | 2008 | Thinking in Learning
https://bcao.wordpress.com/2008/03
124; Comments RSS. An Interesting Discussion in Our Group. Posted on March 7, 2008. Things start from my email which sent to our group mail list on an interesting passage as following. Don’t delete this just because it looks weird. Believe it or not, you can read it. Then people in our group began to post interesting comments on this passage. Continue reading →. 124; Leave a comment. Review for Gaussian Distribution. Posted on March 6, 2008. Gaussain distribution for univariate random variable.
Order Statistic | Thinking in Learning
https://bcao.wordpress.com/2008/04/28/order-statistic
124; Comments RSS. Posted on April 28, 2008. Consider the following problem:. Given k bottles and 1 liter of water, we randomly split the water into these bottles. Let. Be the volume of water in. Bottle, what is the distribution of. The problem can be model by the following process. We random generated k-1 real numbers. In [0,1] with uniform distribution. Then the interval [0,1] is split into k intervals. We can regard length of. Interval as the random variable. Be iid. Let. In this case,. You are commen...
52nlp | 我爱自然语言处理
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I Love Natural Language Processing. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 接上文 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1 … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 接上文 深度学习主机攒机小记 ，这台GTX1080主机准备好之后，就是配置深度学 … 继续阅读 →. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 五月中下旬的时候，GTX1080的公布和发售直接刺激了我攒一台深度学习主机的欲望 … 继续阅读 →. 因为有同学在微信后台咨询这个问题，所以这里简单记录一下，其实自己之前也摸索了一些 … 继续阅读 →. 斯坦福大学在三月份开设了一门 深度学习与自然语言处理 的课程 CS224d: D … 继续阅读 →. 注 出门问问是我们的老朋友，创始人李志飞也是NLP和机器翻译领域的大牛，今天出门 … 继续阅读 →.
Python中文分词 | 我爱自然语言处理
http://www.52nlp.cn/tag/python中文分词
I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词 形态分析 和词性标注系统 Yet Another Pa … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理 遗忘算法系列 四 改进TF-IDF权重公式. 非主流自然语言处理 遗忘算法系列 三 分词. 非主流自然语言处理 遗忘算法系列 二 大规模语料词库生成. 非主流自然语言处理 遗忘算法系列 一 算法概述.
Mecab | 我爱自然语言处理
http://www.52nlp.cn/tag/mecab
I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. 最近试了一下Word2Vec, GloVe 以及对应的python版本 gens … 继续阅读 →. MeCab是一套日文分词 形态分析 和词性标注系统 Yet Another Pa … 继续阅读 →. 一、日文分词器 MeCab 简介 mecab (http:/ mecab.sou … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0.
MeCab中文分词 | 我爱自然语言处理
http://www.52nlp.cn/tag/mecab中文分词
I Love Natural Language Processing. 先说一点题外话，最近发现 Linode 因为庆祝13周年活动将所有的Plan加了 … 继续阅读 →. 最近在处理NLPJob的一些数据，发现之前训练的Mecab中文分词工具包还有一些 … 继续阅读 →. 我在Github上发布了一个MeCab中文分词项目: MeCab-Chinese … 继续阅读 →. 虽然是愚人节，但是这个不是愚人节玩笑，最近花了一些时间在MeCab身上，越发喜欢 … 继续阅读 →. MeCab是一套日文分词 形态分析 和词性标注系统 Yet Another Pa … 继续阅读 →. 深度学习主机环境配置: Ubuntu16.04 GeForce GTX 1080 TensorFlow. 深度学习主机环境配置: Ubuntu16.04 Nvidia GTX 1080 CUDA8.0. 非主流自然语言处理 遗忘算法系列 四 改进TF-IDF权重公式. 非主流自然语言处理 遗忘算法系列 三 分词. 非主流自然语言处理 遗忘算法系列 二 大规模语料词库生成. 非主流自然语言处理 遗忘算法系列 一 算法概述.
Notes in Implementing RVM | Thinking in Learning
https://bcao.wordpress.com/2008/04/27/notes-in-implementing-rvm
124; Comments RSS. Notes in Implementing RVM. Posted on April 27, 2008. Due to the sparse property of RVM, many of the. Would approach infinity. This would cause the Hessian matrix to be singular and the inverse operation to be ill-posed. Therefore, we take the method in (Nabney,1999) to avoid such a problem. By multiplying both side with. Is the solution of. Is the solution of equation. Hence we convert the inverse operation into solving linear equations which is more stable. Leave a Reply Cancel reply.
April | 2007 | Thinking in Learning
https://bcao.wordpress.com/2007/04
124; Comments RSS. Posted on April 2, 2007. To do list today:. Test multi-instance method on SVM;. Error analysis on AI experiment;. Run KNN experiment on Fraud Detection;. Error Correct Coding method for AI experiment. Function path = viterbi path(prior, transmat, obslike). VITERBI Find the most-probable (Viterbi) path through the HMM state trellis. Path = viterbi(prior, transmat, obslik)% Inputs:% prior(i) = Pr(Q(1) = i). Transmat(i,j) = Pr(Q(t 1)=j Q(t)=i). Obslik(i,t) = Pr(y(t) Q(t)=i). Scaled = 1;.
An Interesting Discussion in Our Group | Thinking in Learning
https://bcao.wordpress.com/2008/03/07/an-interesting-discussion-in-our-group
124; Comments RSS. An Interesting Discussion in Our Group. Posted on March 7, 2008. Things start from my email which sent to our group mail list on an interesting passage as following. Don’t delete this just because it looks weird. Believe it or not, you can read it. Then people in our group began to post interesting comments on this passage. 8212; Prof. Yang:. Tjsmld yp nom gpt drmfomh yjr omyrtrdyomh go;r yp id/ o yjoml oy od trs; u gim yp trsf oy/ ;ryd drr ejsy er vsm fp om trdrstvj! B How long is the...
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NLP ERLEBEN - Original NLP-Ausbildungen der Spitzenklasse
NLP-Mitbegründer Dr. Richard Bandler. FAQ Häufig gestellte Fragen. Der Seminarort bei Ulm. Produkt: NLP und Selbstbild 1. Dein kostenloses NLP Training. Mach Dein Leben GROSSartig! NLP ERLEBEN – NLP-Ausbildungen der Society of NLP! Lernen Sie das original NLP. Wir sind auf NLP und den Einsatz in der Führung, im Training und im Coaching spezialisiert. Deshalb bieten wir Ihnen nicht nur die neusten und effektivsten Techniken und Tools in unseren NLP-Ausbildungen an. Was wollen Sie erreichen? Wir wollen, da...
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natural language processing blog
Natural language processing blog. My biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.). Column squishing for multiclass updates. Score-based multiclass classifiers typically have the following form: x. Is a d-dimensional input vector (perhaps engineered features, perhaps learned features), A. Advanced thanks to my former Ph.D. student Abhishek Kumar. For help with this! I'd like to change A. First,...
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Thoughts, stories and ideas. 第 1 页 ⁄ 共 2 页. 错误为Twisted requires zope.interface 3.6.0 or later: no module named zope.interface. 安装zope.interface依然提示错误。 解决方法 更新twisted. pip install tw ». 在brew freetype后记得ln -s /usr/local/include/freetype2 /usr/local/include/freetype ». 安装好scrapy后，新建一个工作目录 scrapy startproject jd 首先我们在items.py文件中定义我们需要存 ». 在settings.py同级目录下新建目录middlewares，新建俩文件 init .py和mymiddlewares.py。 其中 init .py为空即可，mymiddlewares.py文件内容如下 #! Usr/bin/python #-*-coding:u ». 第 1 页 ⁄ 共 2 页.
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