Friday, February 3, 2017

The 2017 Annual Jelinek Memorial Workshop on Speech and Language Technology will be held at Carnegie Mellon University Language Technologies Institute in Pittsburgh, PA.

A continuation of the Johns Hopkins University CLSP summer workshop series from 1995-2016, JSALT brings notable researchers and students together to collaborate on selected research topics for six weeks, following a special two-week undergraduate education session. The Workshop is named after the late ... Read More

by AISHA RASHID AND SUSIE CRIBBS | Thursday, December 15, 2016

When Facebook launched its Live video service last year, the social media giant's 1.5 billion global users began living their lives as if they had TV cameras in their back pockets. A team of Carnegie Mellon University students and alumni recently harnessed the power of the Live system to take first place in the 2016 Facebook Global Hackathon... Read More

Is Artificial Intelligence Superior to Wisdom of Crowds?
by Byron Spice | Monday, December 12, 2016

Computer scientists and statisticians at Carnegie Mellon University are using both artificial intelligence and the wisdom of crowds to guide their efforts in forecasting 2016-2017 flu activity. Past experience suggests it remains an open question as to which is better at predicting the disease's spread week by... Read More

by Susie Cribbs | Friday, December 2, 2016

LTI Associate Professor Bhiksha Raj has been named to the 2017 class of IEEE fellows for his "contributions to speech recognition," according to IEEE.

Established more than a hundred years ago, the IEEE fellow grade is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the organization's fields of interest are deemed fitting of... Read More

by Bryan Burtner | Tuesday, November 22, 2016

For the second consecutive year, Carnegie Mellon came out on top in the LiveQA evaluation – an exercise that requires question-answering (QA) software to respond to real-time questions received by the Yahoo! Answers website – at the Text Retrieval Conference (TREC 2016).

A system designed by Di Wang, a Language Technologies Institute Ph.D. student and member of Prof. Eric Nyberg’s Open Advancement of Question Answering... Read More

by Susie Cribbs | Thursday, November 10, 2016

A team of students from the Language Technologies Institute recently earned top honors for their performance in the BioASQ 2016 Biomedical Semantic Question Answering challenge.

Held annually, BioASQ pushes for a solution to the information access problem biomedical experts face by posing challenges on both biomedical semantic indexing and question answering. The CMU team, comprising Zi Yang, a student in the LTI's Ph.D. program; Yue Zhou, a student in the... Read More

The CMU Language Technologies Institute is Hiring Faculty Members
by LTI Admin | Thursday, October 27, 2016

We're currently seeking applicants for both tenure-track and teaching-track faculty positions. Please see the links below for more information on available positions, as well as instructions for applying:

Teaching Track Position

Tenure Track Position

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by Susie Cribbs | Friday, October 14, 2016

Massive Open Online Courses (MOOCs) have great potential to change where and how people learn. But MOOCs have a typical completion rate in the single digits. One reason for such dismal results? Possibly the lack of social interaction experienced in online learning.

Carolyn Rosé, an associate professor in the LTI, hopes to change that with her latest research on MOOCs and online learning. A recent article by edSurge... Read More

by Susie Cribbs | Wednesday, October 12, 2016

Despite rapid improvements in machine learning technologies, real-time machine translation algorithms still make mistakes that humans would find unthinkable. A team of researchers from the Language Technologies Institute, New York University, and The University of Hong Kong recently published a paper demonstrating that, for the first time, certain algorithms can perform simultaneous speech translation much better than previous algorithms.

The paper, published Oct. 3, was featured in a recent article on... Read More

LTI Students Use Deep Learning To Master Videogame's 3-D World
by Byron Spice | Tuesday, September 27, 2016

Kill or be killed is the essence of the classic video game Doom, and an artificial intelligence agent developed by two Language Technologies Institute students has proven to be the game's ultimate survivor — outplaying both the game's built-in AI agents and human players.

The students, Devendra Chaplot and Guillaume Lample, used deep-learning techniques to train the AI agent to negotiate the game's 3-D environment, still challenging after more than two decades because players must act based only on the portion of the game visible on the screen.

Their work follows the... Read More

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