Six papers from LTI faculty and students will be featured at the 2017 conference of the European Chapter of the Association for Computational Linguistics (EACL 2017). The conference, one of the most important in the field of Natural Language Processing and Computational Linguistics, will bring together scholars from around the world to present and discuss research on all aspects of automated natural language processing. The following papers from LTI researchers were selected for the conference:
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
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
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
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 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
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.
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
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