NLP@Pitt
http://nlp.cs.pitt.edu/
The Natural Language Processing Laboratory at the University of Pittsburghen-us2007-08-13T08:18:08-05:00[PRACTICE TALK] Swapna's Sigdial paper practice talk
http://nlp.cs.pitt.edu/archives/2007_08.html#000960
Detecting Arguing and Sentiment in Meetings This paper analyzes opinion categories like Sentiment and Arguing in meetings. We first annotate the categories manually. We then develop genre-specific lexicons using interesting function word combinations for detecting the opinions. We analyze...Talksnlplab2007-08-13T08:18:08-05:00[PRACTICE TALK] Hua's Interspeech paper
http://nlp.cs.pitt.edu/archives/2007_07.html#000955
Details soon....nlplab2007-07-02T14:00:00-05:00[Practice Talk] Convergence and Learning
http://nlp.cs.pitt.edu/archives/2007_06.html#000952
In this paper we examine whether the student-to-tutor convergence of lexical and speech features is a useful predictor of learning in a corpus of spoken tutorial dialogs. This possibility is raised by the Interactive Alignment Theory, which suggests a...Talksnlplab2007-06-18T08:39:59-05:00[PRACTICE TALK] Josh, Rebecca on MT Evaluations
http://nlp.cs.pitt.edu/archives/2007_06.html#000950
Abstracts etc. TBA...Talkshwa2007-06-11T14:00:00-05:00[PRACTICE TALK] Mihai's ACL paper practice talk
http://nlp.cs.pitt.edu/archives/2007_06.html#000946
Paper title: The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems Authors: Mihai Rotaru and Diane J. Litman Abstract: In this paper we explore the utility of the Navigation Map (NM), a graphical representation of the...nlplab2007-06-04T14:00:00-05:00[TALK] Adam Lopez (UMD)
http://nlp.cs.pitt.edu/archives/2007_05.html#000951
Hierarchical Phrase-Based Translation with Suffix Arrays A major engineering challenge in statistical machine translation systems is the efficient representation of extremely large translation rulesets. In phrase-based models, this problem can be addressed by storing the training data in memory and...Talkshwa2007-05-31T14:00:00-05:00[TALK] Dialogue Research in Toyota Central Labs
http://nlp.cs.pitt.edu/archives/2007_05.html#000949
Presenter: Ryoko TOKUHISA ( Toyota Central R&D Labs ) NOTE - THIS TALK WILL BE AT 12 NOON! I introduce the overview of the researches in Toyota Central Labs. We are developing the dialogue system for the car navigation system...Talksnlplab2007-05-21T12:00:00-05:00[NEWS] Best Paper Award
http://nlp.cs.pitt.edu/archives/2007_04.html#000941
Congratulations to Kate Forbes-Riley, Mihai Rotaru, Diane Litman, and Joel Tetrault, for getting a Best Paper Award (Late-Breaking News category) at NAACL-HLT 2007 for "Exploring Affect-Context Dependencies for Adaptive System Development"...Newsnlplab2007-04-07T11:19:45-05:00Ph.D. proposal defense - Mihai Rotaru
http://nlp.cs.pitt.edu/archives/2007_03.html#000932
CANDIDATE: Mihai Rotaru TITLE: Applications of Discourse Structure for Spoken Dialogue Systems WHEN: Tuesday, March 20, 1 pm WHERE: 5317 Sennott Hall (5th floor conference room) COMMITTEE MEMBERS: Diane J. Litman (advisor) Rebecca Hwa Carolyn P. Rosé Janyce M. Wiebe...Talksnlplab2007-03-20T13:00:00-05:00QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering
http://nlp.cs.pitt.edu/archives/2007_03.html#000930
Speaker: Swapna Somasundaran Room : Board room ( 6th floor - room 6329) Sennot Square Time : 9:00 am Practice talk for ICWSM-07. Abstract In this work, we explore the utility of attitude types for improving question answering (QA) on...Talksnlplab2007-03-13T09:37:10-05:00[TALK] Ray Mooney December 8
http://nlp.cs.pitt.edu/archives/2006_12.html#000831
Learning to Extract Proteins and their Interactions from Biomedical Text (2:00, Room 5313 Sensq) - NOTE UNUSUAL TIME AND ROOM...Talksnlplab2006-12-08T16:56:34-05:00[news] Congratulations to Greg Nicholas
http://nlp.cs.pitt.edu/archives/2006_11.html#000893
Greg received an Honorable Mention for CRA's Outstanding Undergraduate Award for 2007!...Newsnlplab2006-11-30T14:01:48-05:00Measuring Lexical and Acoustic/Prosodic Priming in Dialogs
http://nlp.cs.pitt.edu/archives/2006_11.html#000854
Speaker: Art Ward Experimental research has shown that human users will converge with dialog systems along many dimensions of speech, including those of acoustic/prosodic features and lexical choice. Other results suggest that speech convergence may provide a variety of benefits...nlplab2006-11-27T09:22:12-05:00How much data is enough? (Experiments with Confidence Bounds for MDP's)
http://nlp.cs.pitt.edu/archives/2006_11.html#000830
Speaker: Joel Tetreault Data sparsity is one of the major issues that NLP researchers always wrestle with. That is, does one have enough data to make reliable conclusions in an experiment? Using Reinforcement Learning to improve a spoken dialogue system...Talksnlplab2006-11-13T10:24:41-05:00Comparing Real-Real, Simulated-Simulated, and Simulated-Real Spoken Dialogue Corpora
http://nlp.cs.pitt.edu/archives/2006_09.html#000822
Speaker: Hua Ai Purpose: Prelim Exam Abstract: User simulation is used to generate large corpora for using reinforcement learning to automatically learn the best policy for spoken dialogue systems. Although this approach is becoming increasingly popular, the differences between simulated...nlplab2006-09-25T11:49:03-05:00