C4.5: programs for machine learning
C4.5: programs for machine learning
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
The reliability of a dialogue structure coding scheme
Computational Linguistics
Dialogue act tagging with Transformation-Based Learning
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
MUP: the UIC standoff markup tool
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
Automatic evaluation of students' answers using syntactically enhanced LSA
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
HMM and neural network based speech act detection
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Paraphrasing for automatic evaluation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Data-Driven Dialogue for Interactive Question Answering
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Computational measures for language similarity across time in online communities
ACTS '09 Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech
Investigating the portability of corpus-derived cue phrases for dialogue act classification
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Incremental parsing models for dialog task structure
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Studying discourse and dialogue with SIDGrid
TeachCL '08 Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics
An Overview of LSA-Based Systems for Supporting Learning and Teaching
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Visualizing polysemy using LSA and the predication algorithm
Journal of the American Society for Information Science and Technology
Tagging and linking web forum posts
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Minimizing state transition model for multiclassification by mixed-integer programming
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Observing lemmatization effect in LSA coherence and comprehension grading of learner summaries
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
The Construction-Integration framework: a means to diminish bias in LSA-based call routing
International Journal of Speech Technology
Latent Semantic Analysis for Multimodal User Input With Speech and Gestures
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds to LSA the richness of the many other linguistic features that a corpus may be labeled with. We applied FLSA to dialogue act classification with excellent results. We report results on three corpora: CallHome Spanish, MapTask, and our own corpus of tutoring dialogues.