The Evolution of Emoticons 1
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Speech Understanding Systems: Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University
Carnegie Mellon University Research Showcase Computer Science Department School of Computer Science 1-1-1977 Speech understanding systems: summary of results of the five-year research effort at Carnegie-Mellon University. Carnegie-Mellon University.Computer Science Dept. Carnegie Mellon University Follow this and additional works at: http://repository.cmu.edu/compsci Recommended Citation Carnegie-Mellon University.Computer Science Dept., "Speech understanding systems: summary of results of the five-year research effort at Carnegie-Mellon University." (1977). Computer Science Department. Paper 1529. http://repository.cmu.edu/compsci/1529 This Technical Report is brought to you for free and open access by the School of Computer Science at Research Showcase. It has been accepted for inclusion in Computer Science Department by an authorized administrator of Research Showcase. For more information, please contact research- [email protected]. NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying of this document without permission of its author may be prohibited by law. "7? • 3 SPEECH UNDERSTANDING SYSTEMS Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University Carnegie-Mellon University Department of Computer Science Pittsburgh, Pennsylvania 15213 First Version printed September 1976 Present Version printed August 1977 M d R— <h Projects A en, un^coX^no. TSS^l MiF*"™ ™™ B Scientific Research. ™ and monitored by ,h. Air Z^0^!7, PREFACE This report is an augmented version of a report originally issued in September of 1976, during the demonstration at the end of the five-year speech effort. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Artificial Intelligence Research at Carnegie
ARTIFICIAL INTELLIGENCE production systems as programming languages have been important in AI work at CMU. RESEARCH AT CARNEGIE-MELLON UNIVERSITY The first production systems used at CMU were Newell’s PS and PSG systems. Rychener developed his PSNLST system soon after PSG came into use. In 1975, Edited by Jaime Carbonell Forgy, McDermott, Newell, and Rychener developed the AI research at CMU is closely integrated with other first system in the OPS family. OPS has continued to activities in the Computer Science Department, and to a evolve since that time, the latest version, OPS5, having major degree with ongoing research in the Psychology been completed in 1979. OPS has a served as a basis for Department. Although there are over 50 faculty, staff and many programs, including Langley and Simon’s BACON graduate students involved in various aspects of AI systems and McDermott’s RI expert system. research, there is no administratively (or physically) separate AI laboratory. To underscore the interdisciplinary During the last few years, many production systems nature of much of our AI research, a significant fraction of have been developed to serve as psychological models. (It the projects listed below are joint ventures between is characteristic of psychological modeling that many computer science and psychology. systems must be implemented, for the testing of each new architectural feature requires that a system exhibiting that The history of AI research at Carnegie-Mellon goes back feature be implemented and tested.) Anderson combines production rules with a semantic-network memory in his twenty-five years. The early work was characterized by a ACT systems to model human memory phenomena. -
The Emoji Factor: Humanizing the Emerging Law of Digital Speech
The Emoji Factor: Humanizing the Emerging Law of Digital Speech 1 Elizabeth A. Kirley and Marilyn M. McMahon Emoji are widely perceived as a whimsical, humorous or affectionate adjunct to online communications. We are discovering, however, that they are much more: they hold a complex socio-cultural history and perform a role in social media analogous to non-verbal behaviour in offline speech. This paper suggests emoji are the seminal workings of a nuanced, rebus-type language, one serving to inject emotion, creativity, ambiguity – in other words ‘humanity’ - into computer mediated communications. That perspective challenges doctrinal and procedural requirements of our legal systems, particularly as they relate to such requisites for establishing guilt or fault as intent, foreseeability, consensus, and liability when things go awry. This paper asks: are we prepared as a society to expand constitutional protections to the casual, unmediated ‘low value’ speech of emoji? It identifies four interpretative challenges posed by emoji for the judiciary or other conflict resolution specialists, characterizing them as technical, contextual, graphic, and personal. Through a qualitative review of a sampling of cases from American and European jurisdictions, we examine emoji in criminal, tort and contract law contexts and find they are progressively recognized, not as joke or ornament, but as the first step in non-verbal digital literacy with potential evidentiary legitimacy to humanize and give contour to interpersonal communications. The paper proposes a separate space in which to shape law reform using low speech theory to identify how we envision their legal status and constitutional protection. 1 Dr. Kirley is Barrister & Solicitor in Canada and Seniour Lecturer and Chair of Technology Law at Deakin University, MelBourne Australia; Dr. -
Emoticon Style: Interpreting Differences in Emoticons Across Cultures
Emoticon Style: Interpreting Differences in Emoticons Across Cultures Jaram Park Vladimir Barash Clay Fink Meeyoung Cha Graduate School of Morningside Analytics Johns Hopkins University Graduate School of Culture Technology, KAIST [email protected] Applied Physics Laboratory Culture Technology, KAIST [email protected] clayton.fi[email protected] [email protected] Abstract emotion not captured by language elements alone (Lo 2008; Gajadhar and Green 2005). With the advent of mobile com- Emoticons are a key aspect of text-based communi- cation, and are the equivalent of nonverbal cues to munications, the use of emoticons has become an everyday the medium of online chat, forums, and social media practice for people throughout the world. Interestingly, the like Twitter. As emoticons become more widespread emoticons used by people vary by geography and culture. in computer mediated communication, a vocabulary Easterners, for example employ a vertical style like ^_^, of different symbols with subtle emotional distinctions while westerners employ a horizontal style like :-). This dif- emerges especially across different cultures. In this pa- ference may be due to cultural reasons since easterners are per, we investigate the semantic, cultural, and social as- known to interpret facial expressions from the eyes, while pects of emoticon usage on Twitter and show that emoti- westerners favor the mouth (Yuki, Maddux, and Masuda cons are not limited to conveying a specific emotion 2007; Mai et al. 2011; Jack et al. 2012). or used as jokes, but rather are socio-cultural norms, In this paper, we study emoticon usage on Twitter based whose meaning can vary depending on the identity of the speaker. -
Emoticons All Over Your Essay? It ● Which Ones Do You Like the Most / Least? Why? Looks Ridiculous
StarterStStatarrttteerr A LISTENINGLISTENING 1 Work in pairs.p ai rs. LookLo ok ata t theth e peoplepe op le ini n the picturespi ct ur es and discussdis cuss whatwh at youy ou thinkt hink theirt he ir attitudesa tt it ud es tot o the followingfo ll ow in g mightmigh t be:be : ● personalpe rs on al appearancea pp eara nce ● clothescl ot he s ● cosmeticco sm et ic surgerys ur ge ry Hannah, UK Hiro, Japan Marielena, Venezuela 2 Listen to the interviews from a radio programme. 4 Work in pairs. Discuss the questions. Were you right? ● How would you describe young people’s attitudes to appearance, dress and cosmetic surgery in your country? 3 Listen again and answer the following questions. ● How do you think your generation’s attitudes are 1 What does the presenter say about the effect of different from your parents’ or your grandparents’ globalisation on young people around the world? attitudes? 2 What two things does Chris say still influence young ● Would you ever have cosmetic surgery? people’s attitudes to dress and appearance? 3 What does Chris say that young people in the UK have traditionally been? 4 According to Chris, what type of cosmetic surgery has become more popular in Venezuela in recent years? 5 In Japanese working environments, what is expected of employers in terms of dress and appearance? Grammar VOCABULARY People / Travel and GRAMMAR Present perfect presentation adventure simple and continuous 5 Match the words in the box with the definitions. We use the present perfect simple for: events or situations within an unfinished or competitor economist employee unspecified time period. -
“ My Heart Is in the Work.” Businesses
Carnegie Mellon University has been a birthplace of innovation since its founding in 1900. Today, CMU is a global leader bringing groundbreaking ideas to market and creating successful startup “ My Heart is in the Work.” businesses. Our award-winning faculty are renowned for working closely with students to solve major scientific, Andrew Carnegie, Founder technological and societal challenges. We put a strong November 15, 1900 emphasis on creating things — from art to robots. We have become a model for economic development in forming partnerships with companies such as Uber, Google and Disney. Our students are recruited by some of the world’s most innovative companies. 13,961 37% U.S. 63% International Graduate GLOBAL COMMUNITY STUDENTS 77% U.S. 23% International Undergraduate Students representing 109 countries 1,391 87% U.S. 13% International FACULTY Faculty representing 42 countries 105,255+ 89% U.S. 11% International Alumni representing ALUMNI (LIVING) 145 countries # SCHOOL OF # TIME-BASED/ # INFORMATION 1 COMPUTER 1 NEW MEDIA 1 & TECHNOLOGY SCIENCE U.S. News & World Report, 2016 MANAGEMENT U.S. News & World Report, 2014 U.S. News & World Report, 2016 # SCHOOL OF # COLLEGE OF # BEST FOR 2 DRAMA 5 ENGINEERING 10 NEW HIRES1 The Hollywood Reporter, 2017 U.S. News & World Report, 2017 Wall Street Journal, 2010 # AMONG U.S. # UNIVERSITY % OF COMPUTER 17 UNIVERSITIES 24 IN THE WORLD 49.8 SCIENCE’S FIRST- Times Higher Education Times Higher Education YEAR STUDENTS of London, 2017-18 of London, 2017-18 WERE WOMEN IN 2017 Nearly triple the national average 1 The Wall Street Journal’s poll asked recruiters what schools are tops when looking for new hires. -
Researchers Take a Closer Look at the Meaning of Emojis. Like 30
City or Zip Marlynn Wei M.D., J.D. Home Find a Therapist Topics Get Help Magazine Tests Experts Urban Survival Researchers take a closer look at the meaning of emojis. Like 30 Posted Oct 26, 2017 SHARE TWEET EMAIL MORE TO GO WITH AFP STORY BY TUPAC POINTU A picture shows emoji characters also known a… AFP | MIGUEL MEDINA A new database introduced in a recent research paper (https://www.ncbi.nlm.nih.gov/pubmed/28736776)connects online dictionaries of emojis with a semantic network to create the first machine-readable emoji inventory EmojiNet (http://emojinet.knoesis.org). (http://emojinet.knoesis.org) In April 2015, Instagram reported that 40 percent of all messages contained an emoji. New emojis are constantly being added. With the rapid expansion and surge of emoji use, how do we know what emojis mean when we send them? And how do we ensure that the person at the other end knows what we mean? It turns out that the meaning of emojis varies a whole lot based on context. Emojis, derived from Japanese “e” for picture and “moji” for character, were first introduced in the late 1990s but did not become Unicode standard until 2009. Emojis are pictures depicting faces, food, sports (https://www.psychologytoday.com/basics/sport-and- competition), animals, and more, such as unicorns, sunrises, or pizza. Apple introduced an emoji keyboard to iOS in 2011 and Android put them on mobile platforms in 2013. Emojis are different from emoticons, which can be constructed from your basic keyboard, like (-:. The digital use of emoticons has been traced back to as early as 1982, though there are earlier reported cases in Morse code telegraphs. -
A Sociolinguistic Analysis of Emoticon Usage in Japanese Blogs: Variation by Age, Gender, and Topic1
Selected Papers of Internet Research 16: The 16th Annual Meeting of the Association of Internet Researchers Phoenix, AZ, USA / 21-24 October 2015 A SOCIOLINGUISTIC ANALYSIS OF EMOTICON USAGE IN JAPANESE BLOGS: VARIATION BY AGE, GENDER, AND TOPIC1 Yukiko Nishimura Toyo Gakuen University, Japan Introduction This study explores how older men and women express themselves through blogging (Curtain 2004) in Japan, where the elderly population (aged 65 years and up) will comprise an estimated 40 percent of the country’s total population by 2050 (Statistics Bureau 2014), the greatest proportion of any nation in the world. Figure 1: Proportion of elderly by country (aged 65 and above) Source: Statistics Bureau, MIC; Ministry of Health, Labour and Welfare; United Nations. Internet usage among seniors in Japan has also been increasing in recent years, particularly since 2009 (Ministry of Internal Affairs and Communication 2014). One survey on PC penetration rate among elderly household reports that 78% of people surveyed (N=800 by random telephone number dialing) in their 60’s, 54.5 % in their 70’s, and 30.5 % in their 80’s possess PCs (GF Senior Marketing 2012). 1 I would like to express my gratitude to Patricia M. Clancy for her suggestions on this study. Funding for this research from the Japan Society for the Promotion of Science, Kakenhi Category (c) 24520479, for the period of 2012 to 2015 is gratefully acknowledged. Suggested Citation (APA): Nishimura, Y. (2015, October 21-24). A Sociolinguistic Analysis Of Emoticon Usage In Japanese Blogs: Variation By Age, Gender, And Topic. Paper presented at Internet Research 16: The 16th Annual Meeting of the Association of Internet Researchers. -
2015 Meeting of the Minds Program [Pdf]
2 MEETING OF THE MINDS 2015 WELCOME WELCOME TO OUR 20TH MEETING OF THE MINDS. That ‘s right—it is our 20th anniversary and we are especially happy to celebrate this milestone with all of you. Meeting of the Minds is a true campus-wide event that touches all faculty, staff and students who are associated with our university. Twenty years ago, a far-thinking Associate Vice Provost, Barbara Lazarus—joined by an adventuresome graduate of Carnegie Mellon and founding director of the URO, Jessie Ramey— created our campus-wide research symposium aptly named Meeting of the Minds. It started very small with a handful of students. It has grown to be a hallmark of Carnegie Mellon and a model for others. There is a great deal to see and hear today. The abstracts in this booklet provide a good map to begin your journey. Be prepared for the descriptions to come alive in novel and interesting ways. Whether you travel through the poster displays or attend a few oral presentations, watch a performance or contemplate our art installations, you will be dazzled by the diversity and quality of the projects our undergraduates are showcasing. Feel free to visit people you know and those you don’t know. This is a chance to introduce yourself to different academic parts of our campus. There are two important times to keep in mind. At 2:30, President Subra Suresh will deliver a short keynote address in the first floor Kirr Commons area. We will also hold a drawing for participating students for a smart watch and a Fitbit, and make announcements for the final rounds of particular competitions. -
Rubáiyát Layout 1
I II III IV V VI Login! For the Motherboard, who Before the troll of Error restart And, as the Update manager Now the Latest Version reviving Find... indeed is deleted with And User’s directories are fragmented into sending crashed, popped up, those who old Belief-desire-intention all his Pixel, encrypted; but in super-fast For The Translated by The Icons before him from the Methought a Text-to-Speech stood before models, And Time Machine’s Sev’n- Broadband-enabled Code, with Motherboard: Published by Vanessa Hodgkinson Matrix of Shut Down, Reader within the Social Network The Social Network emoticon-ed- The intelligent Supercomputer to column’d Compile where no “Wine Platform! Wine Platform! The Rubáiyát The White Review Drives Shut Down along with them commented, “Open then the Browser! Atomicity retires, one knows; Wine Platform! from the Cloud, and hacks “When all the Hard Disk is U know how little Login Time we Where the White Cursor Of But still a Programming language Red Wine Platform!”-the Twitter of Omar Khayyám 2014 Typeset by The CEO’s Mainframe with a formatted within, have to Run, Prophet CRM on the Network kindles in the World Wide Web, logo cries to the Pixel James Bridle Cache of LCD. Why double-clicks the glitchy And, once logged out, may undo Puts out, and Alan John Miller And many a Forum by the Fluid That sallow fascia of hers t’ User outside?” no more.” from the Desktop reboots. flow uploads, Pantone / PMS 7427. VII VIII IX X XI XII XIII XIV XV XVI XVII XVIII Come, fill the Folder, and in the Whether at Silicon Valley -
Episodic Memory Representation in a Knowledge Base, with Application to Event Monitoring and Event Detection
Episodic Memory Representation in a Knowledge Base, with Application to Event Monitoring and Event Detection Master’s Thesis Engin C¸ınar S¸ahin Committee Members Scott E. Fahlman Eric Nyberg Stephen F. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213 Abstract The thesis explores the use of a knowledge-based AI system to assist people in executing proce- dures and detecting events in an observed world. We extend the Scone knowledge-base system with open-ended facilities for representing time and events. Then we use this episodic knowledge repre- sentation as the foundation for our event monitoring and event detection algorithms. This approach lets us represent and reason about three fundamental aspects of the observed events: 1. their ontological character and what entities take part in these events (e.g. buying is a kind of transaction that involves an agent, a seller, money and goods) 2. how events change the world over time (e.g. after a buy event the agent has the goods rather than the money) 3. how events may be composed of other subevents (i.e. a buy event may be composed of giving money and receiving goods) We illustrate knowledge-based solutions to the event monitoring problem in the conference organization domain and to the event detection problem in the national security domain. i Acknowledgements First, I would like to thank my advisor Scott Fahlman for letting me learn so much from him. His invaluable experience and constant support helped me go through the ups and downs of research. Working with him, his passion and excitement for knowledge representation and reasoning has passed on to me.