Emily M. Bender
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Emily M. Bender
Emily M. Bender (born 1973) is an American linguist who is a professor at the University of Washington. She specializes in computational linguistics and natural language processing. She is also the director of the University of Washington's Computational Linguistics Laboratory. She has published several papers on the risks of large language models. Education Bender earned an AB in Linguistics from UC Berkeley in 1995. She received her MA from Stanford University in 1997 and her PhD from Stanford in 2000 for her research on syntactic variation and linguistic competence in African American Vernacular English (AAVE). Career Before working at University of Washington, Bender held positions at Stanford University, UC Berkeley and worked in industry at YY Technologies. She currently holds several positions at the University of Washington, where she has been faculty since 2003, including professor in the Department of Linguistics, adjunct professor in the Department of Computer Science ...
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Stanford University
Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. The campus occupies , among the largest in the United States, and enrolls over 17,000 students. Stanford is considered among the most prestigious universities in the world. Stanford was founded in 1885 by Leland and Jane Stanford in memory of their only child, Leland Stanford Jr., who had died of typhoid fever at age 15 the previous year. Leland Stanford was a U.S. senator and former governor of California who made his fortune as a railroad tycoon. The school admitted its first students on October 1, 1891, as a coeducational and non-denominational institution. Stanford University struggled financially after the death of Leland Stanford in 1893 and again after much of the campus was damaged by the 1906 San Francisco earthquake. Following World War II, provost of Stanford Frederick Terman inspired and supported faculty and graduates' entrepreneu ...
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Can Language Models Be Too Big?
Can may refer to: Containers * Aluminum can * Drink can * Oil can * Steel and tin cans * Trash can * Petrol can * Metal can (other) Music * Can (band), West Germany, 1968 ** ''Can'' (album), 1979 * Can (South Korean band) Other * Can (name), Turkish and Circassian given name and surname * Can (verb) * Canning of food * River Can, Essex, UK * Canada * Tomato can (sports idiom) See also * CAN (other) * Cann (other) * Cans (other) * Kan (other) Kan or KAN may refer to: Places * Kan (river), a tributary of the Yenisey in Russia * Kan District of Iran * Kan, Kyrgyzstan, a village in Batken Region * Mallam Aminu Kano International Airport, Kano, Nigeria, IATA code * Kannapolis (Amtrak st ...
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21st-century Linguists
The 1st century was the century spanning AD 1 ( I) through AD 100 ( C) according to the Julian calendar. It is often written as the or to distinguish it from the 1st century BC (or BCE) which preceded it. The 1st century is considered part of the Classical era, epoch, or historical period. The 1st century also saw the appearance of Christianity. During this period, Europe, North Africa and the Near East fell under increasing domination by the Roman Empire, which continued expanding, most notably conquering Britain under the emperor Claudius (AD 43). The reforms introduced by Augustus during his long reign stabilized the empire after the turmoil of the previous century's civil wars. Later in the century the Julio-Claudian dynasty, which had been founded by Augustus, came to an end with the suicide of Nero in AD 68. There followed the famous Year of Four Emperors, a brief period of civil war and instability, which was finally brought to an end by Vespasian, ninth Roman emperor, ...
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Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ...
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1973 Births
Events January * January 1 - The United Kingdom, the Republic of Ireland and Denmark 1973 enlargement of the European Communities, enter the European Economic Community, which later becomes the European Union. * January 15 – Vietnam War: Citing progress in peace negotiations, U.S. President Richard Nixon announces the suspension of offensive action in North Vietnam. * January 17 – Ferdinand Marcos becomes President for Life of the Philippines. * January 20 – Richard Nixon is Second inauguration of Richard Nixon, sworn in for a second term as President of the United States. Nixon is the only person to have been sworn in twice as President (First inauguration of Richard Nixon, 1969, Second inauguration of Richard Nixon, 1973) and Vice President of the United States (First inauguration of Dwight D. Eisenhower, 1953, Second inauguration of Dwight D. Eisenhower, 1957). * January 22 ** George Foreman defeats Joe Frazier to win the heavyweight world boxing championship. ** A ...
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Ellen Kaisse
Ellen M. Kaisse (born 1949) is an American linguist. She is Professor Emerita of Linguistics at the University of Washington (USA), best known for her research on the interface between phonology, syntax and morphology. Career Kaisse earned her PhD in Linguistics in 1977 from Harvard, with a dissertation entitled, ''Hiatus in Modern Greek''. In 1976 she took up a position at the University of Washington, where she stayed for 40 years, until her retirement. Over the course of her career, she worked on a wide range of issues in theoretical phonology, and particularly on the phonology of Modern Greek, (Argentinian) Spanish and Turkish. She has published on topics ranging from lexical phonology to the phonology-syntax interface to vowel harmony to featural phonology. Honors and distinctions Kaisse served as President of the Linguistic Society of America (LSA) from January 6, 2013 – January 5, 2014. She was inducted as an LSA Fellow in 2015. Kaisse has co-edited the journal ''P ...
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Michael Brame
Michael K. Brame (January 27, 1944 — August 16, 2010) was an American linguist and professor at the University of Washington, and founding editor of the peer-reviewed research journal, ''Linguistic Analysis''. He was known for his theory of recursive categorical syntax. He also co-authored with his wife, Galina Popova, several books on the identity of the writer who used the pseudonym "William Shakespeare". Early life and education Michael Brame was born on January 27, 1944 in San Antonio, Texas. Brame started his study of linguistics at the University of Texas at Austin, receiving his BA in 1966. That summer he studied Egyptian Arabic at the American University of Cairo. That fall, Brame began a PhD program at the Massachusetts Institute of Technology, studying under Morris Halle and Noam Chomsky, who was his adviser. He received his PhD in 1970 or 1971. His dissertation was titled ''Arabic Phonology: Implications for Phonological Theory and Historical Semitic''. Brame was a ...
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ChatGPT
ChatGPT (Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI's GPT-3 family of large language models, and is fine-tuned (an approach to transfer learning) with both supervised and reinforcement learning techniques. ChatGPT was launched as a prototype on November 30, 2022, and quickly garnered attention for its detailed responses and articulate answers across many domains of knowledge. Its uneven factual accuracy was identified as a significant drawback. Following the release of ChatGPT, OpenAI was valued at $29 billion. Training ChatGPT was fine-tuned on top of GPT-3.5 using supervised learning as well as reinforcement learning. Both approaches used human trainers to improve the model's performance. In the case of supervised learning, the model was provided with conversations in which the trainers played both sides: the user and the AI assistant. In the reinforcement step, human trainers first ranked responses ...
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Large Language Models
A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks. Properties Though the term ''large language model'' has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-siz ...
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Text Corpus
In linguistics, a corpus (plural ''corpora'') or text corpus is a language resource consisting of a large and structured set of texts (nowadays usually electronically stored and processed). In corpus linguistics, they are used to do statistical analysis and statistical hypothesis testing, hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory. In Search engine (computing), search technology, a corpus is the collection of documents which is being searched. Overview A corpus may contain texts in a single language (''monolingual corpus'') or text data in multiple languages (''multilingual corpus''). In order to make the corpora more useful for doing linguistic research, they are often subjected to a process known as annotation. An example of annotating a corpus is part-of-speech tagging, or ''POS-tagging'', in which information about each word's part of speech (verb, noun, adjective, etc.) is added to the corpus in the form o ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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