aritter github.io

Alan Ritter

Computer Science and Engineering. The Ohio State University. Office 595 Dreese Lab. Email ritter.1492osu.edu. Google Scholar https scholar.google.comcitations? Semantic Scholar https www.semanticscholar.orgauthorAlan-Ritter2268403. Much of human knowledge is encoded in text. Broadly I am interested in getting computers to better understand natural language. My research uses machine learning to extract knowledge from large heterogeneous text corpora, for example Twitter. Here is a demo. Funde.
traffic

OVERVIEW

The site aritter.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled nine pages within the web page aritter.github.io and found six websites referencing aritter.github.io. We have unearthed two public web sites acquired by aritter.github.io.
Pages Parsed
9
Links to this site
6
Social Links
2

ARITTER.GITHUB.IO TRAFFIC

The site aritter.github.io is seeing variant levels of traffic for the duration of the year.
Traffic for aritter.github.io

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Traffic ranking (by month) for aritter.github.io

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Traffic ranking by day of the week for aritter.github.io

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LINKS TO ARITTER.GITHUB.IO

Turing Center at University of Washington - Home

Investigating problems at the crossroads of natural language processing, data mining, Web search, and the Semantic Web. The Turing Center is a multidisciplinary research center at the University of Washington, investigating problems at the crossroads of natural language processing, data mining, Web search, and the Semantic Web. The Center was established in May 2005 with a multi-million dollar gift from the Utilika Foundation. The Office of Naval Research.

Course Ruofei Du

Since I have completed all my graduate courses in UMD. I would like to summarize what I learnt from previous classes, teaching experience, as well as my undergraduate classes. If you are a new graduate student in UMD CS,. Welcome to the Computer Science Department in UMD! We are really strong at security, computer vision and HCI! Here are some advices for you. First I suggest you to read the Survival Manual. Feel free to explore! A CMSC 754 Comp.

COLING 2016 Workshop on Noisy User-generated Text W-NUT

We have received 27 main workshop submissions! We look forward to seeing you at COLING! Veracity Computing from Lexical Cues and Perceived Certainty Trends. Uwe Reichel and Piroska Lendvai. Name Variation in Community Question Answering Systems. Anietie Andy, Satoshi Sekine, Mugizi Rwebangira and Mark Dredze.

WHAT DOES ARITTER.GITHUB.IO LOOK LIKE?

Desktop Screenshot of aritter.github.io Mobile Screenshot of aritter.github.io Tablet Screenshot of aritter.github.io

ARITTER.GITHUB.IO SERVER

We found that the main root page on aritter.github.io took two hundred and ninety-seven milliseconds to come up. Our web crawlers could not observe a SSL certificate, so in conclusion our crawlers consider this site not secure.
Load time
0.297 sec
SSL
NOT SECURE
IP
151.101.40.133

SERVER SOFTWARE

We discovered that aritter.github.io is weilding the GitHub.com operating system.

SITE TITLE

Alan Ritter

DESCRIPTION

Computer Science and Engineering. The Ohio State University. Office 595 Dreese Lab. Email ritter.1492osu.edu. Google Scholar https scholar.google.comcitations? Semantic Scholar https www.semanticscholar.orgauthorAlan-Ritter2268403. Much of human knowledge is encoded in text. Broadly I am interested in getting computers to better understand natural language. My research uses machine learning to extract knowledge from large heterogeneous text corpora, for example Twitter. Here is a demo. Funde.

PARSED CONTENT

The site had the following in the web page, "Much of human knowledge is encoded in text." I observed that the web site stated " Broadly I am interested in getting computers to better understand natural language." They also stated " My research uses machine learning to extract knowledge from large heterogeneous text corpora, for example Twitter."

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