Rachel Rudinger: Natural Language Understanding for Events and Participants in Text
Consider the difference between the two sentences “Pat didn't remember to water the plants” and “Pat didn't remember that she had watered the plants.” Fluent ...
Allen Institute for AI
#HealthIT Watson and Natural Language Processing in Healthcare - Case Study
You may have seen Watson beat the reigning Jeopardy champion Ken Jennings, but the technology has become more advanced in a years time. Dr. Marty ...
TPNTech
Word Recognition & Reading | Cognitive Psychology
This is a quick cognitive psychology video covering the different theories on word recognition and reading, and I briefly talk about dyslexia.
Christopher Tong
Tapping into the Potential of Natural Language Processing in Healthcare
Table of Contents Act 1 - The Possibilities are Endless 01:53 Act 2 - NLP to the Rescue (aka The Hype) 05:14 Act 3 - A Peek Under the Hood (aka The Reality) ...
Health Catalyst
Profium Sense Inference Engine empowers customer service!
With Profium inferencing Rule Engine technology a customer service professional can help an unlimited number of customers. We believe in helping the ...
Profium Finland
Textual entailment as a framework for applied semantics
We have recently proposed Recognizing Textual Entailment (RTE) as a generic task that captures major semantic inferences across different natural language ...
Microsoft Research
Free GRE Prep Hour: Reading Comprehension Detail & Inference
Take your prep to the next level: https://www.manhattanprep.com/gre/ Twice monthly, Manhattan Prep hosts a free, one-hour GRE prep session lead by one of ...
Manhattan Prep GRE
CS366 Natural Language Processing
by Ms Sangeetha Jamal.
Rajagiri School of Engineering & Technology
English Language: Reading Comprehension
Reading comprehension is the ability to read text, process it and understand its meaning. An individual's ability to comprehend text is influenced by their traits ...
School on Air
Lecture - 40 Natural Language Processing II
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur .
nptelhrd
DATA 650 Text Analytics Review
ITS UMGC
Text analysis
Data Science Melbourne
Quantitative Text Analysis for Social Scientists A talk by Nicole Rae Baerg
Nicole Rae Baerg, lecturer at the Department of Government at the University of Essex, discusses qualitative text analysis in this SAGETalks webinar.
SAGE Publishing
Peter Jansen: What's in an Explanation? Toward Explanation-centered Inference for Science Exams
Peter Jansen: "What's in an Explanation? Toward Explanation-centered Inference for Science Exams" Modern question answering systems are able to provide ...
Allen Institute for AI
Gabor Angeli: Open Domain Inference with Natural Logic
Open Domain Inference with Natural Logic Many NLP tasks require a balance between proper handling of logical subtleties in text, and the tractability concerns ...
Allen Institute for AI
DL4NLP 2020, Lecture 7 (Sentence Embeddings, Part 3)
Deep Learning for Natural Language Processing Summer Semester 2020 TU Darmstadt Dr. Steffen Eger.
Steph Eger
Social Text Data Analysis
Brendan O'Connor, Machine Learning Department, Carnegie Mellon University, November 16, 2012 ➡ Subscribe: http://bit.ly/UCHICAGOytSubscribe About ...
The University of Chicago
Textual Inference: Methods, Open Source Platform and Applications, Bar-Ilan University
Prof. Ido Dagan, Prof. Bernardo Magnini and Prof. Guenter Neumann, Textual Inference: Methods, Open Source Platform and Applications This lecture was ...
Bar-Ilan University - אוניברסיטת בר-אילן
Uncovering Clinical Insights From Unstructured EMR Data to Improve Patient Outcomes (Cloud Next '19)
Rush University Medical Center has identified an opportunity to standardize treatment and improve outcomes for their patients by drawing structured insights ...
Google Cloud Platform
2013-04-17 CERIAS - Towards Automated Problem Inference from Trouble Tickets
Recorded: 04/17/2013 CERIAS Security Seminar at Purdue University Towards Automated Problem Inference from Trouble Tickets Rahul Potharaju, Purdue ...
Purdue CERIAS
Ellie Pavlick: "Should we care about linguistics?"
New Deep Learning Techniques 2018 "Should we care about linguistics?" Ellie Pavlick, University of Pennsylvania Abstract: There are countless examples of ...
Institute for Pure & Applied Mathematics (IPAM)
Inference strategies for students with autism
Reading Rockets
JuliaCon 2018 | A practical introduction to metaprogramming in Julia | Andy Ferris
Julia focuses on speed and user productivity, due in part to its metaprogramming capability. This workshop arms you with the knowledge to create fast, generic ...
The Julia Programming Language
New Data Processing Capabilities in Amazon SageMaker for Training & Inference
WS IoT Greengrass now supports Amazon SageMaker Neo. Neo enables machine learning models to train once and run anywhere in the cloud and at the edge.
Amazon Web Services
Ease ML deployments with TensorFlow Serving - Cambridge ML Summit ‘19
Hannes Hapke, Head of Engineering at Caravel, discusses the deployment of machine learning models specifically with TensorFlow Serving. Google ...
Google Developers
IACS Seminar: "What Do Models of Natural Language "Understanding" Actually Understand?" 2/28/20
Presented by Ellie Pavlick, Assistant Professor of Computer Science at Brown University. Abstract: Natural language processing has become indisputably good ...
Harvard Institute for Applied Computational Science
AWS re:Invent 2018: Build Deep Learning Applications Using Apache MXNet -ft. Chick-fil-A (AIM407-R1)
The Apache MXNet deep learning framework is used for developing, training, and deploying diverse AI applications, including computer vision, speech ...
Amazon Web Services
Data Science Full Course - Learn Data Science in 10 Hours | Data Science For Beginners | Edureka
Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification This Edureka Data Science Full Course video will help you ...
edureka!
Fireside Chat with Christopher Manning
Christopher Manning is a Professor of Computer Science and Linguistics at Stanford University. His Ph.D. is from Stanford in 1995, and he held faculty positions ...
Microsoft Research
Understanding Statistics and Research: Even if You Really, Really Hate Math
Dr. Steve Dykstra is a psychologist from Milwaukee Wisconsin who has worked in mental health systems serving children for 30 years. Along they way he ...
The Reading League
Data processing
what is Data Processing? Editing Coding Classification tabulation analysis interpretation/inferences डेटा प्रोसेसिंग क्या होती है ? डेटा...
Shishir Chandra Rai
Reasoning beyond the text | MCAT | Khan Academy
Visit us (http://www.khanacademy.org/science/healthcare-and-medicine) for health and medicine content or (http://www.khanacademy.org/test-prep/mcat) for ...
khanacademymedicine
Introduction to Biological Network Analysis II: Protein-Protein Interaction Networks: From Graphs to
Donna Slonim, Tufts University Algorithmic Challenges in Genomics Boot Camp https://simons.berkeley.edu/talks/donna-slonim-2016-01-22-2.
Simons Institute
Rosalind Picard: Affective Computing, Emotion, Privacy, and Health | Artificial Intelligence Podcast
Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and ...
Lex Fridman
Domain Specific Word Segmentation and Hierarchy Detection using NLP Algorithm By Genpact [MLDS2020]
Machine Learning Developers Summit 2020 https://mlds.analyticsindiasummit.com/ Computational Linguistics or the study of Natural Language Processing is ...
Analytics India Magazine
Jeffrey Heer - Interactive Data Analysis: Visualization and Beyond
Data analysis is a complex process with frequent shifts among data formats, tools and models, as well as between symbolic and visual thinking. How might the ...
PyData
Reading Assignments: Crash Course Study Skills #2
Leaving the bookstore at the beginning of the semester you're probably wondering how the heck you're going to get through all of that reading. Today we're ...
CrashCourse
Grade 4: Inferencing Strategies for Fictional Text
This video reviews the literacy strategies "Talk & Actions" and "Character Changes" used to teach inferencing in fictional texts. Covered TEKS: ELA 4.fig19D.
HISD DMOL
Allen School Distinguished Lecture: David Patterson (UC Berkeley/Google)
Lecture Title: Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUs) The recent success of deep neural ...
Paul G. Allen School
Building an AI Startup in Quarantine (Introducing SentiMeant)
Visit SentiMeant: http://sentimeant.herokuapp.com/ View the code: https://github.com/KhanradCoder/sentimeant In this video, I go over how I created SentiMeant, ...
Khanrad
Who's singing? Automatic bird sound recognition with machine learning - Dan Stowell
PyData London 2018 Bird sounds are complex and fascinating. Can we automatically "understand" them using machine learning? I will describe my academic ...
PyData
Visualizing Unstructured Data with Tableau, Featuring Bill Inmon
How do you turn unstructured data into a visualization? Over 80% of the data in a corporation is textual, including emails, contracts, chat sessions, social media, ...
Tableau Software
