The Brandeis CL Seminar Series hosts Jibo:
Roberto Pieraccini, Head of Conversational Technologies, Jibo Inc.
Friday, December 1, 3pm, Volen 101
Jibo is a robot that understands speech and sees. He has a moving body that complements his verbal communication and expresses his emotions, cameras and microphones to make sense of the world around him. He detects where sounds come from and can track and recognize people’s faces. He has a display to show images, an eye that follows you, and touch sensors. With this array of technologies, Jibo encompasses the ultimate human-machine interface.
In this talk we will give an overview of the technological complexity we embarked into when, more than 4 years ago, we started the journey of building the first consumer social robot. We will describe some of the solutions we adopted and give a demo of the product that started shipping a few weeks ago. We will conclude with a discussion on the future challenges for short and long-term research.
ABOUT THE SPEAKER:
Roberto Pieraccini, a scientist, technologist, and the author of “The Voice in the Machine,” (MIT Press, 2012) has been at the forefront of speech, language, and machine learning innovation for more than 30 years. He is widely known as a pioneer in the fields of statistical natural language understanding and machine learning for automatic dialog systems, and their practical application to industrial solutions. As a researcher he worked at CSELT (Italy), Bell laboratories, AT&T Labs, and IBM T.J. Watson. He led the dialog technology team at SpeechWorks Int.l, he was the CTO of SpeechCycle, and the CEO of the International Computer Science Institute (ICSI) in Berkeley. He now leads the Conversational Technologies team at Jibo. http://robertopieraccini.com
Machine Learning Approaches to Evaluate Clinical Evidence Quality
NLP/ML Engineer, QPID
Friday, November 10 at 3:00
The Data Science team at QPID has conducted a machine learning project to develop an approach that decides which request for a medical procedure are clinically appropriate based on clinical information from the patient’s medical record provided by a human user. In this talk, I will present and compare various machine learning and deep learning models that we have experimented to identify supportive clinical evidence for a given procedure.
Justin Su graduated from the CL MA program at Brandeis in 2017, and joined QPID Health as an NLP/ML Engineer. He does a bit of everything at QPID, which includes software engineering, NLP, machine learning, data science, and baking.
Homesite is committed to being the most trusted and valued customer- driven insurance company. Homesite is experiencing outstanding growth. Homesite was built on: Integrity, Respect, and striving for excellence. These values when combined with discipline and focus will lead success. We’re experts in homeowners, renters and condo insurance. It’s all we do. That’s why we’re really good at tailoring all of our products and services to your needs. Here at Homesite, your home is our focus.
The Experimentation Lab was formed in order to foster technology innovation, agility, and rapid development. The Experimentation Lab is a place to establish thought leadership backed by tactical and strategic projects/products that revolutionize the industry. It is an opportunity to work with state of the art technologies and start-ups combined with the business knowledge that comes from established leaders in the insurance industry. Specifically The Lab is looking to incorporate emerging Big Data and Analytics technologies to revolutionize how the insurance industry works. This can be everything from drone and satellite imagery to aid post catastrophe to social media analytics to better understand our customers needs to the Internet of Things and connect home and car technologies.
Adobe is changing the world through digital experiences. We give everyone – from emerging artists to global brands – everything they need to design and deliver exceptional digital experiences. Adobe Document Cloud is revolutionizing the way the world works with documents. It”s the newest cloud offering at Adobe, and a very exciting place to be. The Document Cloud combines a collection of online services integrated with Adobe Reader and Adobe Acrobat. Our subscription base is growing rapidly and we are continually rolling out new features and services. We work in small, agile teams with considerable autonomy and we value engineers with technical competence, creativity, flexibility, strong customer focus and an eagerness for learning and collaboration.
Obfuscating Gender in Social Media Writing
Researcher, Wellesley College
Friday March 3, 3:15 in Volen 101
The vast availability of textual data on social media has led to an interest in algorithms to automatically predict demographic attributes based on the user’s writing. These methods are valuable for social science research as well as targeted advertising and profiling, but also compromise the privacy of users who may not realize that their personal idiolects can give away their identities. Can we automatically modify a text so that the author is classified as a certain target gender, under limited knowledge of the classifier, while preserving the text’s fluency and meaning? In this talk, I present a model to modify a text, show empirical results with Twitter and Yelp data, and outline future directions.
Sravana Reddy is a researcher at Wellesley College working on natural language processing and its intersections with privacy, the digital humanities, and sociolinguistics. She graduated with a PhD from the University of Chicago, and a bachelors’ from Brandeis University.
The Brandeis Computational Linguistics program held its spring Industry Reception networking event. Technical representatives from twelve companies attended and spent two hours talking with students about what they do in their companies and collected resumes from students looking for internships and jobs. Alumni were among the representatives from Amazon, BBN, Basis, Burning Glass, and Callminer. Other companies attending included Fidelity, Cobalt, ISI, SAP, Optum, SIFT, and Spotify. Many of those companies also have interns or alumni from the program.
Check out descriptions of these and other companies that have attended our receptions in the past in the Industry Catalog. The reception is held every semester, with generally 12-15 companies attending each time.
The industry catalog is a resource for our students to know what companies do work related to computational linguistics. “Brandeis connections” lists students who work or have worked as interns or employees at the company. If you’d like to add your company, send a short description to mmeteer at brandeis dot com along with the categories you’d like to be listed under.
The MITRE Corporation is a not-for-profit organization that operates research and development centers sponsored by the federal government. Our centers support our sponsors with scientific research and analysis, development and acquisition, and systems engineering and integration. We also have an independent research program that explores new and expanded uses of technologies to meet our sponsors’ needs. Our principal locations are in Bedford, Mass., and McLean, Va.
Brandeis Connections: David Tresner-Kirsch
Genesys is the market leader in omnichannel customer experience (Voice, IVR, Web, Chat, E-Mail) and in contact center solutions, both in our Cloud offering and on Customer premises. We help brands of all sizes, from Microsoft, Nike, and Fidelity to Fred’s Pizza Shop, make great Customer Experience great business.
The Genesys Customer Experience platform powers optimal end-customer journeys across all touchpoints, channels and interactions to turn customers into brand advocates.
Genesys is trusted by over 4,500 Customers in 80 countries to orchestrate more than 100 million digital and voice interactions each day.
The Brandeis CL Seminar series brings speakers from research and industry related to computational linguistics and is open to all. If you’d like to be a speaker or suggest a speaker contact Marie Meteer, mmeteer at brandeis dot com.
The Language Application Grid as a Platform for NLP Research
Wednesday, February 1 at 3pm
The LAPPS Grid project (Vassar, Brandeis, CMU, LDC), which has developed a platform providing access to a vast array of language processing tools and resources for the purposes of research and development in natural language processing (NLP), has recently expanded to enhance its usability by non-technical users such as those in the Digital Humanities community. We provide a live demonstration of LAPPS Grid use, ranging from “from scratch” construction of a workflow using atomic tools to a pre-configured docker image that can be run off-the-shelf on a laptop or in the cloud, for several tasks of relevance to the NLP and DH communities.
Keith Suderman is a Research Assistant with the Department of Computer Science at Vassar College in Poughkeepsie, New York. Keith works full time on the development of the LAPPS Grid API, architecture, and tool integrations.
UFA is a leading, privately-held software engineering firm specializing in Air Traffic Control simulation technologies. UFA, Inc provide simulation products to civil aviation, military, and university customers worldwide. A key element of the product is speech recognition modeling Air Traffic Control commands.
Brandeis connections: Cynthia Goodman, Travis Hasley
Partners HealthCare is a not-for-profit health care system that is committed to patient care, research, teaching, and service to the community locally and globally. Collaboration among our institutions and health care professionals is central to our efforts to advance our mission. Founded in 1994 by Brigham and Women’s Hospital and Massachusetts General Hospital, Partners HealthCare includes community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and Partners is a national leader in biomedical research.
Brandeis connections: Ken Lai, Suzanne Blakeley, Jessica Huynh, Clay Riley
Nuance Communications is reinventing the relationship between people and technology. We believe in the power of intelligent systems, and quite specifically what the power can do for you. Our innovations in voice, natural language understanding, reasoning and systems integration come together to create more human technology.
We are pioneers in making technology fluent in all things human: from understanding spoken words and extracting their meaning to adaptively and seamlessly interpreting the swipe of a fingertip. Every interaction can finally be understood to deliver exactly what a person needs. And we continuously evolve the ability to perceive the nuance of words, actions and meaning — to fit seamlessly into your life, your business and your world.
Nuance is headquartered in Burlington, Massachusetts, with more than 35 offices around the world, and approximately 14,000 employees worldwide. We have a significant portfolio of intellectual property, with more than 4,500 global issued and pending patents. Every day, millions of users and thousands of businesses experience our proven applications, including more than two-thirds of the Fortune 100 use our solutions.
IBM Watson Group is a leading-edge start-up business within IBM, charged with ushering in the new era of cognitive computing. Watson mirrors the same cognitive processes as humans with the ability to ingest massive amounts of unstructured data. At IBM Watson Group, we’re transforming a range of industries and professions from medical research and diagnosis to investment guidance and customer service. You can see some of the impact that IBM Watson is making at https://ibm.biz/watsondiscoveryadvisor or you can start building apps yourself with the Watson Developer Cloud at http://ibmwatson.com/developercloud
We have opportunities across the business, whether it’s developing code, conducting research in the cognitive space or implementing solutions for clients
Humedica is a clinical intelligence company that powers health care, life sciences, and research organizations to make better-informed, more effective decisions. Our cloud-based analytics solutions create a longitudinal view of both individual patients and patient populations. We gather, normalize, and analyze data from disparate sources that, uniquely, span the continuum of care–including EHRs, Practice Management Systems and claims. By the end of 2015, our data will account for 65M patient lives in the U.S.
Humedica NLP is at the heart of the process, extracting structure from billions of free-form physician notes. NLP data is combined with our other data assets to form one of the largest actionable pools of healthcare information in the world.
Big Data is ushering in a revolution in health care. We are looking for scientists and engineers who are excited by the idea of using their skills to make a difference in this field. We have the infrastructure and the data to enable that revolution–we are looking for people who want to be part of it.
For over 20 years, Basis Technology has been a pioneer in machine learning, revealing meaningful information and intelligence from raw, unstructured text. The Rosette® text analytics platform, accessible on premise or as a web API, gives businesses and government agencies around the world the necessary interoperable linguistic tools for deep knowledge decision-making. We work with companies, large and small, building enterprise search solutions spanning social media monitoring, risk and compliance, identity management, and security scanning. Rosette adds a wealth of powerful functionality—from pure linguistics to analyses centered around entities, names and relationships in Asian, European, and Middle Eastern languages—to any underlying search or database infrastructure. For more information, email firstname.lastname@example.org or visit www.basistech.com.
Brandeis students and alumni: Zachary Yocum, Anna Astori, Justin Su
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the Siri Speech team at Apple.
The Siri team is looking for exceptionally skilled and creative Engineers eager to get involved in hands-on work improving the Siri experience.
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