Videos
See AI2's full collection of videos on our YouTube channel.Viewing 201-210 of 215 videos
Bayesian Case Model — Generative Approach for Case-based Reasoning and Prototype
January 7, 2015 | Been KimI will present the Bayesian Case Model (BCM), a general framework for Bayesian case-based reasoning (CBR) and prototype classification and clustering. BCM brings the intuitive power of CBR to a Bayesian generative framework. The BCM learns prototypes, the ``quintessential" observations that best represent…
Event Discovery, Content Models, and Relevance
December 4, 2014 | Aria HaghigiI discuss three problems in applied natural language processing and machine learning: event discovery from distributed discourse, document content models for information extraction, and relevance engineering for a large-scale personalization engine. The first two are information extraction problems over social…
Toward Scene Understanding
December 3, 2014 | Roozbeh MottaghiScene understanding is one of the holy grails of computer vision, and despite decades of research, it is still considered an unsolved problem. In this talk, I will present a number of methods, which help us take a step further towards the ultimate goal of holistic scene understanding. In particular, I will talk…
Open and Exploratory Extraction of Relations (and Common Sense) from Large Text Corpora
November 10, 2014 | Alan AkbikThe use of deep syntactic information such as typed dependencies has been shown to be very effective in Information Extraction (IE). Despite this potential, the process of manually creating rule-based information extractors that operate on dependency trees is not intuitive for persons without an extensive NLP…
Deep Natural Language Semantics by Combining Logical and Distributional Methods using Probabilistic Logic
November 4, 2014 | Raymond MooneyTraditional logical approaches to semantics and newer distributional or vector space approaches have complementary strengths and weaknesses.We have developed methods that integrate logical and distributional models by using a CCG-based parser to produce a detailed logical form for each sentence, and combining the…
Large-Scale Paraphrasing for Natural Language Generation
October 1, 2014 | Chris Callison-BurchI will present my method for learning paraphrases - pairs of English expressions with equivalent meaning - from bilingual parallel corpora, which are more commonly used to train statistical machine translation systems. My method equates pairs of English phrases like --thrown into jail, imprisoned-- when they…
Modeling Biological Processes for Reading Comprehension
August 5, 2014 | Jonathan BerantMachine reading calls for programs that read and understand text, but most current work only attempts to extract facts from redundant web-scale corpora. In this talk, I will focus on a new reading comprehension task that requires complex reasoning over a single document. The input is a paragraph describing a…
Extracting Knowledge from Text with Tractable Markov Logic and Symmetry-Based Semantic Parsing
July 25, 2014 | Pedro DomingosBuilding very large commonsense knowledge bases and reasoning with them is a long-standing dream of AI. Today that knowledge is available in text; all we have to do is extract it. Text, however, is extremely messy, noisy, ambiguous, incomplete, and variable. A formal representation of it needs to be both…
Paul Allen Discusses AI2 and the Future of AI (Discussion of AI2 begins at 17:30)
June 4, 2014 | Paul AllenPaul Allen discusses his vision for the future of AI and AI2 in this fireside chat moderated by Gary Marcus of New York University at the 10th Anniversary Symposium - Allen Institute for Brain Science. AI2-related discussion begins at 17:30.
Crowdsourcing Insights into Problem Structure for Scientific Discovery
May 13, 2014 | Bart SelmanIn recent years, there has been tremendous progress in solving large-scale reasoning and optimization problems. Central to this progress has been the ability to automatically uncover hidden problem structure. Nevertheless, for the very hardest computational tasks, human ingenuity still appears indispensable. We…