Videos
See AI2's full collection of videos on our YouTube channel.Viewing 191-200 of 258 videos
Situated Intelligent Interactive Systems
January 18, 2017 | Zhou YuCommunication is an intricate dance, an ensemble of coordinated individual actions. Imagine a future where machines interact with us like humans, waking us up in the morning, navigating us to work, or discussing our daily schedules in a coordinated and natural manner. Current interactive systems being developed…
Artificial Intelligence will empower us, not exterminate us
November 19, 2016 | Oren EtzioniArtificial Intelligence advocate Oren Etzioni makes a case for the life-saving benefits of AI used wisely to improve our way of life. Acknowledging growing fears about AI’s potential for abuse of power, he asks us to consider how to responsibly balance our desire for greater intelligence and autonomy with the…
Computer Vision @ Facebook
November 8, 2016 | Manohar PulariOver the past 5 years the community has made significant strides in the field of Computer Vision. Thanks to large scale datasets, specialized computing in form of GPUs and many breakthroughs in modeling better convnet architectures Computer Vision systems in the wild at scale are becoming a reality. At Facebook…
Knowledge Based Question Answering
October 18, 2016 | Kun XuAs very large structured knowledge bases have become available, answering natural language questions over structured knowledge facts has attracted increasing research efforts. We tackle this task in a pipeline paradigm, that is, recognizing users’ query intention and mapping the involved semantic items against a…
Modular Neural Architectures for Grounded Language Learning
October 18, 2016 | Jacob AndreasLanguage understanding depends on two abilities: an ability to translate between natural language utterances and abstract representations of meaning, and an ability to relate these meaning representations to the world. In the natural language processing literature, these tasks are respectively known as "semantic…
Navigating Natural Language Using Reinforcement Learning
September 29, 2016 | Karthik NarasimhanIn this talk, I will describe two approaches to learning natural language semantics using reward-based feedback. This is in contrast to many NLP approaches that rely on large amounts of supervision, which is often expensive and difficult to obtain. First, I will describe a framework utilizing reinforcement…
Collective and Multi-relational Models for Network Mining
September 26, 2016 | Shobeir FakhraeiOur world is becoming increasingly connected, and so is the data collected from it. To represent, reason about, and model the real-world data, it is essential to develop computational models capable of representing the underlying network structures and their characteristics. Domains such as scholarly networks…
Grounding and Generation of Natural Language Descriptions for Images and Videos
September 19, 2016 | Anna RohrbachIn recent years many challenging problems have emerged in the field of language and vision. Frequently the only form of available annotation is the natural language sentence associated with an image or video. How can we address complex tasks like automatic video description or visual grounding of textual phrases…
Exploring Relational Features and Learning
September 13, 2016 | Ajay NageshInformation Extraction has become an indispensable tool in our quest to handle the data deluge of the information age. In this talk, we discuss the categorization of complex relational features and outline methods to learn feature combinations through induction. We demonstrate the efficacy of induction…
Freebase Semantic Parsing With and Without QA Pairs
September 7, 2016 | Siva ReddyI will present three semantic parsing approaches for querying Freebase in natural language 1) training only on raw web corpus, 2) training on question-answer (QA) pairs, and 3) training on both QA pairs and web corpus. For 1 and 2, we conceptualise semantic parsing as a graph matching problem, where natural…