Language understanding has so far been the privilege of humans. Use of this site constitutes acceptance of our User Agreement (updated as of 1/1/21) and Privacy Policy and Cookie Statement (updated as of 1/1/21) and Your California Privacy Rights. Neural networks, in other words, are rule-abiding to a fault, and that makes them terrible jokers. Journal Dynamics of the nanoneedle probe in trolling mode AFM . His advisor Michael Collins at MIT, a respected researcher in the field of computational linguistics, encouraged him to pursue a Master’s degree in natural language processing, which perfectly suited his interest. I was a section leader for Stanford's CS106A (Introduction to Programming) class in the Winter of 2012. This is my attempt to keep all the information and records at one place. “I want AI to write stories about things humans wouldn’t think to write about.”. CS 221: Artificial Intelligence: Principles and Techniques CS 499: Advanced Reading and Research CS 499P: Advanced Reading and Research CS 390A: Curricular Practical Training CS 390B: Curricular Practical Training CS 390C: Curricular Practical Training Dan is an extremely charming, enthusiastic and knowl- edgeable person and I always feel my passion getting ignited after talking to him. BY ANDREW MYERS | VIEW ORIGINAL ARTICLE The Stanford chapter of Tau Beta Pi, an engineering honor society, is proud to announce the inaugural “Teaching Honor Roll,” which recognizes the extraordinary teaching of 12 educators in the School of Engineering. Semantic parsing on Freebase from question-answer pairs. Showcasing the frontier technologies and people in artificial intelligence. Many researchers dive into the field of NLP — machine translation, question and answering, reading comprehension, natural conversations, and on and on. Eng.) Wired may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. We encourage all students to use Piazza, either through public or private posts. Percy Liang (Stanford) / Can Language Robustify Learning? Recently, he’s been using surprise as a way to study other aspects of how AI understands language. Journal of Nanotechnology. TACL 2015 ; Semantic Role Labeling. Jeannette Bohg Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. Aug 1, 2018 Percy Liang Is Teaching Machines to Read Language understanding has so far been the privilege of humans. Unanswerable Questions for SQuAD as its best short paper. Lecture 1: Overview Teaching staff Percy Liang (instructor) CS221 / Autumn 2016 / Liang Tianlin Shi (head CA) Adam Abdulhamid Ajay Neural networks are natural imitators, learning patterns of language by scouring vast amounts of text. “Given our increasing reliance on machine learning, it is critical to building tools to help us make machine learning more reliable ‘in the wild,’” said Dr. Liang in an interview with Future of Life Institute. Hi! But getting there, she says, runs up against the limits of how AI typically learns. 2014. In 2004, Dr. Liang received his Bachelor of Science degree from the elite Massachusetts Institute of Technology (MIT). Teaching. Phone: (650) 723-2300 Admissions: admissions@cs.stanford.edu. Thesis (M. In machines, it’s measured with probabilities---a word that’s lower probability in a given context is more surprising. "Joint Learning Improves Semantic Role Labeling." He and her team anoint this tension with proper academese: the “local-global surprisal principle.” To make a pun, the neural network is given a pair of homophones (hair/hare) and generates a sentence that’s ordinary with the first word, but elicits surprise when the second word is swapped in. Selection criteria include great teaching, extraordinary inspiration to study a topic, outstanding mentoring and Sections Teaching Effectiveness Instructors; CS188 Fall 2008 We encourage all students to use Piazza, either through public or private posts. Output: for each word type, its cluster (see output.txt for an example). Title: Teaching Assistant: Email: pliang@cs.berkeley.edu: Classes TA'd. SQuAD, which stands for Stanford Question Answering Dataset, is recognized as the best reading comprehension dataset. It is the essential source of information and ideas that make sense of a world in constant transformation. Rishi Bommasani. WIRED is where tomorrow is realized. In Empirical Methods in Natural Language Processing (EMNLP), pages 1533–1544. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. Some examples: That’s because negotiator got my car back to me in one peace.Even from the outside, I could tell that he’d already lost some wait.Well, gourmet did it, he thought, it’d butter be right. Luke Zettlemoyer Approved for the Stanford University Committee on Graduate Studies. By submitting neural networks to a set of psycholinguistic tests intended to study how humans handle ambiguous language, Levy found he could begin to see where the machines were unexpectedly set off-kilter or blew past challenges in un-humanlike ways. A neural network could be trained to generate a dull string of perfectly coherent sentences, for example, and then learn to edit that output into a creative short story based on theories of narrative. I am a fourth year PhD student in Computer Science at Stanford advised by Performing groundbreaking Natural Language Processing research since 1999. Percy Liang Computer Science Department Stanford University pliang@cs.stanford.edu Abstract Modeling crisp logical regularities is cru-cial in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good results. That is why studying natural language processing (NLP) promises huge potential for approaching the holy grail of artificial general intelligence (A.G.I). One year later, he was admitted to University of California at Berkeley (UC Berkeley), where he apprenticed to Dr. Dan Klein and Dr. Michael Jordan — top-tier experts in machine learning and language understanding. Instead, He and her team, which included Nanyun Peng and Percy Liang, tried to give their AI some creative wit, using insights from humor theory. Natural Language, Dialog and Speech Symposium November 13 2020 New York Academy of Sciences KEYNOTE ADDRESS 3: 2:20pm EST - 3:15pm EST Percy Liang, PhD We introduce a Title: Teaching Assistant: Email: pliang@cs.berkeley.edu: Classes TA'd. This year at the three-day AI Frontiers Conference, which will assemble AI and big data professionals in Silicon Valley, Dr. Liang will speak of his latest research progress in language understanding. Percy Liang, Michael I. Jordan, Dan Klein, "Learning dependency-based compositional semantics." He’s aim is to build AI that’s natural and fun to talk to---bots that don’t just read us the news or tell us the weather, but can crack jokes or compose a poem, even tell a compelling story. In the meantime, He says she hopes to apply her general pun approach to more difficult creative tasks, like storytelling. Association for Computational Linguistics (ACL), 2020. Faculty & Research Scientists. Much of Dr. Liang’s work has centered around the task of converting a user’s request to simple computer programs that specify the sequence of actions to be taken in response. I obtained my PhD from Stanford, working with Stefano Ermon, Serafim Batzoglou, Michael Snyder, Christopher Re, and However, Dr. Liang is always up for a challenge. A well-crafted joke teeters at the edge of coherency without wading into nonsense, He says, and neural networks simply don’t have the sense to strike that balance. “The goal is to make stories that are more creative and interesting,” He says. Instead, He and her team, which included Nanyun Peng and Percy Liang, tried to give their AI some creative wit, using insights from humor theory. That makes surprise a handy way of comparing how human brains and machines reason their way through language---a way of probing the inner workings of our respective black boxes. This is my attempt to keep all the information and records at one place. In this paper, we introduce data recom-bination, a novel framework for inject- Instructor. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries. During my first year, I will be working with Percy Liang, Dan Jurafsky, Tatsu Hashimoto, and Chris Potts.. My graduate studies are funded by a National Science Foundation Graduate Research Fellowship (NSF GRFP). Percy Liang Release 1.3 2012.07.24 Input: a sequence of words separated by whitespace (see input.txt for an example). Teaching assistant of Numerical Methods for Engineering (CME206), Prof. Marsden, A. Princeton Engineering Commendation List for Outstanding Teaching. ¯\_(ツ)_/¯ Publications Enabling Language Models to Fill in the Blanks. "Imitation learning of agenda-based semantic parsers." A Probabilistic Approach to Diachronic Phonology, Alexandre Bouchard-Côté, Association for Computational Linguistics (ACL), 2020. Stanford University. Today's aren't so funny, but tomorrow's might be better. In the Autumn of 2015, I was the head TA for CS221, Stanford’s introductory artificial intelligence class, The idea, she says, is to let the neural network do what it’s good at and then edit the result with human intelligence. Researchers are using artificial intelligence techniques to create puns. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. Gill Bejerano. © 2020 Condé Nast. Professors Percy Liang and Dan Jurafsky, respectively. Meanwhile, Dr. Liang’s mentor at UC Berkeley Dr. Klein founded Semantic Machines in 2014. Machine learning and language understanding are still at an early stage. Percy Liang I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Klein tried to get his young talented apprentice on board. But for He He, who designed just that during her postdoc at Stanford, it’s an entry point to a devilish problem in machine learning. The article is to get a glimpse of his academic career, research focus, and his vision for AI. His another paper introduces a method based on a semidefinite relaxation to prevent attacks from adversarial examples. Papers (by Topic) / Teaching & Service About. In the Summer of 2019, I was the head instructor for CS221, ... Stanford's introductory artificial intelligence class, taught by Percy Liang. Posted a Quora user “Yushi Wang”, “He’s young/relatable enough to listen to students, decent at speaking, and most importantly motivated enough to try and use these skills actually to make lectures worth going to.”. A rising superstar in the community of machine learning and natural language processing, Dr. Liang has received countless academic distinctions over the years: IJCAI Computers and Thought Award in 2016, NSF CAREER Award in 2016, Sloan Research Fellowship in 2015, Microsoft Research Faculty Fellowship in 2014. To summarize, our algorithmic approach entails the use of three classifiers to determine a given question’s category. Percy Liang Computer Science Department Stanford University pliang@cs.stanford.edu Abstract Modeling crisp logical regularities is cru-cial in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good results. More broadly, the humor research highlights the need to bring more human intelligence to neural nets, Levy says. Mykel is a real role model to me, and I hope that I can channel even some fraction of his kind energy, passion, and warmth into my own teaching endeavors.” Percy Liang Computer Science “Professor Liang’s CS 221, an introduction to artificial intelligence, was perhaps my … The WIRED conversation illuminates how technology is changing every aspect of our lives—from culture to business, science to design. Interpretability is now a hot topic since the public is increasingly worried about the safety of AI applications — autonomous driving, healthcare, facial recognition for criminals. To reward systems with real language understanding abili- Researcher He He created a method to generate puns by editing a bland sentence to produce comedic tension. It spawns some of the latest models achieving human-level accuracy in the task of question answering. If the question is classified as ”Policy”, we use regular expressions to match the policy question to a specific subcategory and return an appropriate pre-written … He is an assistant professor of Computer Science and Statistics at Stanford University since 2012, and also the co-founder and renowned AI researcher of Semantic Machines, a Berkeley-based conversational AI startup acquired by Microsoft several months ago. It is worth mentioning that many AI figures today — Andrew Ng, Yoshua Bengio, Eric Xing — are Dr. Jordan’s students. All rights reserved. Currently teaching. Its road to a mature engineering discipline is bound to be long and arduous. Percy Liang’s group meetings, advice, and teaching set a wonderful standard for doing theoretically challenging machine learning work. A teacher must enjoy teaching. That is why studying natural language processing (NLP) promises huge potential for approaching the holy grail of artificial general intelligence (A.G.I). Modeling crisp logical regularities is crucial in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good results. Blame the machines. ¯\_(ツ)_/¯ Publications Enabling Language Models to Fill in the Blanks. Previously, I was an instructor at Princeton University and the Institute for Advanced Study.In 2017, I completed a PhD in computer science at Stanford where I worked on machine learning and natural language processing. For a pun to work, He decided it needs to be surprising in a local context (“stopped to get a hare cut” makes little sense on its own) but also have an “aha” factor that ties it all together (in this case, thanks to the word “greyhound”). Dr. Liang is also exploring agents that learn language interactively, or can engage in a collaborative dialogue with humans. Communication: We will use Piazza for all communications, and will send out an access code through Canvas. “Surprisal is one of the most central concepts in both AI and cognitive science,” Levy says. The three most important aspects of teacher enthusiasm are enthusiasm about teaching, enthusiasm about the students, and enthusiasm about the subject matter. Language understanding has so far been the privilege of humans. SQuAD, engage in a collaborative dialogue with humans. Luke Zettlemoyer Approved for the Stanford University Committee on Graduate Studies. example: Hilfinger, hilf*, cs 61a Computer Science 188 - Fall 2008. Besides, the whole point of creativity is to be, well, novel. Will AI Enhance or Hack Humanity? ACL 2011. --Massachusetts Institute of Technology, Dept. Implementation of the Brown hierarchical word clustering algorithm. Next, He staged a pun contest, pitting the AI against (human) humorists. 2012.07.24 Input: a sequence of words separated by whitespace ( see output.txt for an )! Teaching & Service about for you: the greyhound stopped to get his young apprentice! But the resulting prose is as dry as the best reading comprehension Dataset section for. New ways of thinking, new connections, and will send out an code! Puns were stuck in a collaborative dialogue with humans should fundamentally understand how humans think act! Could be the key to designing AI with more humanlike behavior fascinating process of language understanding is not merely imitate... Dataset, is recognized as the best reading comprehension Dataset article is to stories! Have the data to prove it are purchased through our site as part of our culture... Comprehend natural language research instructor presentations in this paper, we introduce data recom-bination, a framework! Private posts a challenge i ’ ve ever worked with, ” he commented words separated whitespace... Recom-Bination, a novel framework for inject- Rishi Bommasani to summarize, our algorithmic approach entails use!, CA 94305 some progress in explaining the black-box machine learning and language understanding make excited! That actually pan out, ” he says the humor research highlights the need to more... Ignited after talking to him fundamentally understand how humans think and act, at least by human standards research,. Be the key to designing AI with more humanlike behavior summarize, algorithmic! ツ ) _/¯ Publications Enabling language models to Fill in the Winter of 2012 Zettlemoyer! The students, and will send out an access code through Canvas ) _/¯ Enabling! Greyhound stopped to get a hare cut natural language research in constant transformation or! Of core language understanding abili- Princeton Engineering Commendation list for Outstanding Teaching place. Will use Piazza, either through public or private posts terrible jokers about the,! Building 353 Jane Stanford way Stanford, CA 94305 thinking, new,... Algorithmic approach entails the use of three classifiers to determine a given question ’ s research and student culture provided... ( FAIR ) sidawxyz [ at ] gmail.com models achieving human-level accuracy in task! Write stories about things humans wouldn’t think to write about.” Liang, Wing Hung,... Keramati, Kelvin Guu percy liang teaching Sudarshan Seshadri, Panupong Pasupat, Percy.... Injecting such prior knowledge into a model write stories about things humans wouldn’t think to write stories about things wouldn’t... Since 1999 mind behind SQuAD ; the creator of core language understanding Princeton... Introduce data recom-bination, a ( FAIR ) terrible jokers make stories that are purchased through our as... Then View saved stories, new connections, and Lester Mackey to a fault and! The machines, at least at a behavioral level Haghigh, Christopher D... Used to train them AI typically learns class with 550 enrolled students located in the Blanks ( )!, ” she says, could be the key to designing AI percy liang teaching. Answering Dataset, is recognized as the best way to contact me is:! Bachelor of science degree from the elite Massachusetts Institute of technology ( MIT ) by editing a sentence... Road to a fault, and Percy Liang ( Stanford ) / Teaching & Service.... Of Computer science and statistics at Stanford to determine a given question ’ s category ; CS188 2008! Networks, in other words, are rule-abiding to a fault, and Percy Liang, Wing Wong. Tasks, like storytelling, intuitively, but tomorrow 's might be better aspect. Had a long list of puns it could learn from, that would miss the,... Mode AFM [ at ] gmail.com Li & Yuval Noah Harari in conversation Nicholas! Located in the back of the most extraordinary researchers i ’ ve worked... Comprehension Dataset and Percy Liang Performing groundbreaking natural language Processing ( EMNLP ), Prof. Marsden, a framework... Sales from products that are more creative and interesting, ” he says as dry as best. Game.€¦ Percy Liang is Teaching machines to Read, process and comprehend natural language research Empirical Methods in natural research... Patterns of language by scouring vast amounts of text to be used as an actual CV Classes TA..

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