Videos
See AI2's full collection of videos on our YouTube channel.Viewing 171-180 of 252 videos
Moving Beyond the Turing Test with the Allen AI Science Challenge
July 25, 2017 | Oren EtzioniThis video discusses the paper: Moving Beyond the Turing Test with the Allen AI Science Challenge. The field of Artificial Intelligence has made great strides forward recently, for example AlphaGo's recent victory against the world champion Lee Sedol in the game of Go, leading to great optimism about the field…
Knowledge Representation And Reasoning With Deep Neural Networks
June 22, 2017 | Arvind NeelakantanKnowledge representation and reasoning is one of the central challenges of artificial intelligence, and has important implications in many fields including natural language understanding and robotics. Representing knowledge with symbols, and reasoning via search and logic has been the dominant paradigm for many…
AI FOR GOOD - The Future of Work
June 13, 2017 | Oren EtzioniAs computer automations is upon us and many jobs will change or be replaced by AIs, AI optimist Oren Etzioni, CEO, Allen Institute for AI, describes the social impacts we must consider as he paints a possible euphonic future state in which jobs will be more creative and fulfilling. About XPRIZE: XPRIZE is an…
What is missing in learning and reasoning with visual knowledge?
May 22, 2017 | Abhinav GuptaIn 2013, we proposed NEIL (Never Ending Image Learner), a computer program to learn visual models and commonsense knowledge from the web. In its first version, NEIL ran for 2.5 years learning 8K concepts, labeling 4.5M images and learning 20K common-sense facts. But it also helped us discover the shortcomings of…
Semantic Parsing for Question Answering
May 19, 2017 | Scott YihBuilding a question answering system to automatically answer natural-language questions is a long-standing research problem. While traditionally unstructured text collections are the main information source for answering questions, the development of large-scale knowledge bases provides new opportunities for open…
Deep Semantic Role Labeling: What Works and What’s Next
May 9, 2017 | Luheng HeSemantic role labeling (SRL) systems aim to recover the predicate-argument structure of a sentence, to determine essentially “who did what to whom”, “when”, and “where”. We introduce a new deep learning model for SRL that significantly improves the state of the art, along with detailed analyses to reveal its…
Building Lexical Resources for NLP
May 8, 2017 | Derry WijayaOne of the ways we can formulate natural language understanding is by treating it as a task of mapping natural language text to its meaning representation: entities and relations anchored to the world. Since verbs express relations over their arguments and adjuncts, a lexical resource about verbs can facilitate…
Language as a Scaffold for Accelerating Grounded Intelligence
May 2, 2017 | Mark YatskarIn this talk, we examine the role of language in enabling grounded intelligence. We consider two applications where language can be used as a scaffold for (a) allowing for the quick acquisition of large scale common sense knowledge, and (b) enabling broad coverage recognition of events in images. We present some…
Using Deep Learning to Understand Creative Language
April 19, 2017 | Mohit IyyerCreative language—the sort found in novels, film, and comics—contains a wide range of linguistic phenomena, from phrasal and sentential syntactic complexity to high-level discourse structures such as narrative and character arcs. In this talk, I explore how we can use deep learning to understand, generate, and…
Adventures in Analyzing and Presenting Bioscience Text
April 18, 2017 | Marti HearstAI2 researchers are making groundbreaking advances in machine interpretation of scientific and educational text and images. In our current research, we are interested in improving educational technology, especially automated and semi-automated guidance systems. In past work, we have been successful in leveraging…