Deana Pennell and Yang Liu. Normalization of Informal Text. Computer Speech and Language. Accepted. 2013. 2013 - Publication
Je Hun Jeon, Rui Xia, and Yang Liu. Level of Interest Sensing in Spoken Dialog Using Decision-level Fusion of Acoustic and Lexical Evidence. Computer Speech and Language. Accepted. 2013. 2013 - Publication
Khairun-Nisa Hassanali, Yang Liu, Aquiles Iglesias, Thamar Solorio, and Christine Dollaghan. Automatic Generation of Index of Productive Syntax for Child Language Transcripts. Behavior Research Methods. May 2013. 2013 - Publication
Fei Liu and Yang Liu. Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression. IEEE Transactions on Audio, Speech and Language Processing. 2013. 2013 - Publication
Xian Qian and Yang Liu. Branch and Bound Algorithm for Dependency Parsing with Non-local Features. Transactions of the Association for Computational Linguistics. March. 2013. 2013 - Publication
Je Hun Jeon and Yang Liu. Automatic Prosodic Event Detection Using Novel Labeling Method in Co-Training Algorithm. Speech Communication, Volume 54, Issue 3, March 2012, Pages 445-458. 2012 - Publication
Zhonghua Qu and Yang Liu. User Participation Prediction in Online Forums. EACL, 2012. 2012 - Publication
Zhonghua Qu and Yang Liu. Sentence Dependency Tagging in Online Question Answering Forums. ACL, 2012. 2012 - Publication
Fei Liu, Fuliang Weng, Bingqing Wang, and Yang Liu, "Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision". ACL-HLT, 2011. 2011 - Publication
Deana Pennell and Yang Liu. A Character-Level Machine Translation Approach for Normalization of SMS Abbreviations. International Joint Conference on Natural Language Processing (IJCNLP), Thailand, 2011. 2011 - Publication
University of Texas at Dallas [2011–Present]
University of Texas at Dallas [2005–2011]
PostDoc Research Fellow
Purdue University [2000–2002]
Friends, loved ones and pets can sense your mood almost instantly – and one day your computer may be able to do so pretty quickly as well.
UT Dallas computer scientist Yang Liu
has received a three-year, $350,000 grant from the highly competitive Air Force Office of Scientific Research's Young Investigator Research Program to explore emotion recognition and modeling in speech processing.
If you’ve ever wished you had an assistant to attend meetings with you, take notes and produce a concise summary, then you’ll be pleased to know that UT Dallas computer scientist Yang Liu
hopes to one-up you: She’s working on software that would automatically do the job of that assistant.
She recently received a prestigious career-development award from the National Science Foundation that will fund a five-year, $400,000 project designed to find a more intelligent way to address issues related to speech summarization of meetings.