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Vivek Srikumar | Home | svivek.com Reviews
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Vivek Srikumar
Vivek Srikumar
http://svivek.com/software
Svivek at cs dot utah dot edu. This page is outdated and will be updated at some point in the near future. In the meanwhile, here is a list of software and demos that I have written, contributed to, released and/or possibly maintain. NLP Software at Illinois. Edison is a Java library for representing different NLP annotations (views) over text in the form of graphs over constituents. It provides easy-to-use accessors for different types of views and facilitates feature extraction. Here. A demo of the SRL...
Teaching :: Vivek Srikumar
http://svivek.com/teaching
Svivek at cs dot utah dot edu. CS 5350/6350 Machine Learning, Fall 2016. CS 7935 Natural Language Processing Seminar, Spring 2016. CS 5350/6350 Machine Learning, Fall 2015. CS 7931 Machine Learning Seminar, Fall 2015. CS 5350/6350 Machine Learning, Spring 2015. CS6961 Structured Prediction, Fall 2014. Learning and Inference in Structured Prediction. At AAAI 2016. Get the tutorial material. Predicting structures in NLP: Constrained Conditional Models. At NAACL 2013. Download the slides.
Machine Learning | Fall 2016
http://svivek.com/teaching/machine-learning/spring2015
CS 5350/6350, Fall 2016. Welcome to the machine learning class! Please fill out the student information survey. Is available on canvas. Tue and Thu, 9:10 AM 10:30 AM at WEB L101. Svivek at cs dot utah dot edu. Tue 10:45 AM (after class), 3126 MEB. Jcao at cs dot utah dot edu. Fri, 4:30 5:30 PM. Makscegielski at utah dot edu. Wed, 3:00 4:00 PM. Jiani at cs dot utah dot edu. Mon, 1:30 2:30 PM. Sam6191 at cs dot utah dot edu. Thu, 2:00 3:00 PM. We will be using Canvas. The ability to identify where machine ...
Vivek Srikumar
http://svivek.com/tutorials
Svivek at cs dot utah dot edu. Here are the most recent tutorials I presented. Predicting structures in NLP: Constrained Conditional Models. June 3, 2012. This tutorial deals with theory and practice of constrained conditional models and covers modeling structured prediction problems as integer linear programs, and different inference and learning options. Here are the slides. Incorporating Machine Learning in your application: Text classification. 2012 Data Sciences Summer Institute. May 23, 2012.
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The Stanford Natural Language Processing Group
http://nlp.stanford.edu/old-news.shtml
The Stanford Natural Language Processing Group. The Stanford Natural Language Processing Group. The Stanford NLP Group. Stanford NLP Software v3.6.0. Is out: new coreference, Open IE integration, Stanford CoreNLP server, and more! The Stanford Natural Language Inference. SNLI) corpus of 570,000 human-written sentence pairs classified as entails, contradicts, or neutral has been released. Stanford NLP Software v3.5.2. Is out: Chinese co-reference, Universal Dependencies, improved NER standalone and more!
Sameer Singh: Publications
http://sameersingh.org/pubs.html
Publications (grouped by year): 2016. Connotation Frames: A Data-Driven Investigation. Association for Computational Linguistics (ACL). Inproceedings{connot:acl16, author = {Hannah Rashkin and Sameer Singh and Yejin Choi}, title = { Connotation Frames: A Data-Driven Investigation }, booktitle = {Association for Computational Linguistics (ACL)}, year = {2016} }. Why Should I Trust You? Explaining the Predictions of Any Classifier. Knowledge Discovery and Data Mining (KDD). Code for Synthetic Experiments.
Kevin Small - Publication Co-authors
http://www.kevinsmall.org/authors.html
Below are people whom I have co-authored publications with (and those who have homepages that I know of) in alphabetical order.
Tobin Yehle | About Me
http://tobin.yehle.io/index.html
I am currently a student at the University of Utah working towards my bachelors in Computer Science. My areas of interest are machine learning, natural language processing, and programming languages. I am currently doing research with Dr. Vivek Srikumar. In natural language processing. At school I also play trumpet in the performing ensembles, and take classes from the astronomy department. When I’m not in school I enjoy climbing, hiking, biking, and games.
Faculty | School of Computing
http://www.cs.utah.edu/people/faculty
Alumni & Giving. Alumni – Update Profile. Select a group -. Rajeev@cs.utah.edu. Computer architecture, multi-core processors, memory hierarchy bottlenecks, instruction-level parallelism, power-efficient processor. Mb@cs.utah.edu. My research area is the study of novel computational algorithms for the numerical solution of partial differential equations (p.d.e.s). 98;haskara@cs.utah.edu. Theoretical computer science and machine learning. Dean of Engineering and Professor. Associate Professor, USTAR. Dynam...
The Stanford Natural Language Processing Group
http://www-nlp.stanford.edu/old-news.shtml
The Stanford Natural Language Processing Group. The Stanford Natural Language Processing Group. The Stanford NLP Group. Stanford NLP Software v3.6.0. Is out: new coreference, Open IE integration, Stanford CoreNLP server, and more! The Stanford Natural Language Inference. SNLI) corpus of 570,000 human-written sentence pairs classified as entails, contradicts, or neutral has been released. Stanford NLP Software v3.5.2. Is out: Chinese co-reference, Universal Dependencies, improved NER standalone and more!
Dan Roth - Tutorials
http://l2r.cs.uiuc.edu/tutorials.html
On-Line Machine Learning Course. A tutorial on Learning and Inference in Structured Prediction Models. Given by Dan Roth. A tutorial on Wikification and Entity Linking ( pdf. Given by Dan Roth. Heng Ji, Taylor Cassidy and Ming-Wei Chang. June 2014.). A tutorial on Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming ( pptx package. Key recent paper: M. Chang, L. Ratinov and D. Roth, Structured Learning with Constrained Conditional Models. Given together with Jeffrey...
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סיעוד – שירותי סיעוד, טיפול סיעודי
תנאי קבלת עובד זר. פסק דין – מגורים בבית אבות וגמלת סיעוד. עובד זר או בית אבות סיעודי – הצד החברתי. עובד זר או בית אבות סיעודי – הצד הכספי. בתי דיור מוגן ושיכון מטפל סיעודי ביחידה. נהיגה בטוחה בגיל המבוגר. סיעוד מכל הלב – כל שירותי הסיעוד. ההליכה אינה כבעבר, השמיעה נחלשת והזיכרון מתחיל להישכח. כעת ישנו קושי לטפל בעצמכם, להכין אוכל או אפילו ללכת לשירותים. לטובת קשישים סיעודיים המתקשים בפעולות אלה וכן סובלים מבעיות בריאותיות נוספות, נחקק חוק הסיעוד. ולא במוסד סיעודי כלשהו. מידת העזרה לה זקוק הקשיש יערך לקש...
מכשכשים - פורטל הכלבים הגדול
Skip to primary content. Skip to secondary content. כל מה שחשוב לדעת על סוגי כלבים. איזה סוגי כלבים יש כיום? תלוי מאד את מי אתם שואלים. כמו שנראה בהמשך, החלוקה לסוגי הכלבים השונים תלויה בהרבה מאד גורמים – השאלה היא מתי שואלים, את מי שואלים, איפה שואלים, וגם למה שואלים. אבל למה בעצם חשוב כל Continue reading →. דוגיסיטר הוא המקצוע לאוהבי הכלבים. מחפשים עבודה עם בעלי חיים? עם Continue reading →. מדוע חשוב לרכוש ציוד לכלבים לשימוש ביתי? הכלב לא אוכל מה עושים? הכלב הוא חברו הטוב ביותר של האדם. כאן תוכלו למצוא...
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Vivek Srikumar | Home
Svivek at cs dot utah dot edu. I am an assistant professor in the School of Computing. At the University of Utah. Previously, I was a post-doc at Stanford University. And the Stanford NLP group. I obtained my Ph.D. from the Computer Science Department. Of the University of Illinois at Urbana-Champaign. Where I worked with Dan Roth. And the Cognitive Computation group. My research deals with Machine Learning and Natural Language Processing. For more information and a list of publications, click here.
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S. Vivekanand Competition Centre :: Home
Answer Key - Jr. Acct. (Series - B). ADJ INTERVIEW TRAINING PROGRAME. RJS Pre and Main. Duration : 75 to 90 days. Fees Structure G.K. with study material and Test Series : 6,000/-. Fees Structure G.K. with arts : 10,000/-. 9 AM To 1 PM., B-59, Gyan Jyoti Sec. School,. Near Imli Phatak, Sahakar Marg, Jaipur. 5 pm To 8 pm, D-131, Savitri Path,. Moti Marg, Bapu Nagar, Jaipur. Mobile: 9314743517, 9314528838. Welcome to S. Vivekanand Competition Centre. Shaping Carrers Making Life. Intensive Coaching will be ...
Sergi Vives's Blog
Sergi Vives's Blog. Google Wave BETA 21 días (Beta Testing). El dia 5 de noviembre recibí la invitación para probar Google Wave, hoy, despues de 21 días de pruebas creo que me veo en disposición de afirmar que, a corto plazo, puede suponer una auténtica revolución a todos los niveles en la comunicación online. Un resumen de estos 21 días podría ser el siguiente:. He recibido la invitación, que ilusión, ahora que hago con esto, no tengo ningún contacto, para que debe servir? SAP Google Wave (Grabity):.
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כל מה שקורה סביבך. האפליקציה שמרכזת את כל המידע העדכני סביב המקום בו אתה נמצא או כל מקום שאתה רוצה לבדוק. חדשות עדכניות , תרבות, אירועים, תיירות ועוד. מה באמת קורה סביבך? כנסו, בדקו ותופתעו.
When the King loves
When the King loves. Take me where You will. August 14, 2011. The next 46 days. I wanna be with Jesus. :-). August 13, 2011. Ohmyword this is so true for me! Every point hits the mark. Taken at 123test.com! Your Jung personality type is stereotyped as. Making the world a better place. Is your motto. You need to have a crusade or mission in life. You quietly push for what is important to you and rarely give up. You do not like conflict and go to great lengths to avoid it. On the other hand, you are a ...