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Automatically analyzing dialogue can help understand and guide behavior in domains such as counseling, where interactions are largely mediated by conversation.
Attention, please! a critical review of neural attention models in natural language processing
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Artificial Paranoia: A Computer Simulation of Paranoid Process
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Dialogue act modeling for automatic tagging and recognition of conversational speech
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Motivational interviewing: Preparing people for change
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William R Miller, Theresa B Moyers, Denise Ernst, and Paul Amrhein. 2003 · 2003
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The emerging evidence base for motivational interviewing: A meta-analytic and qualitative inquiry
Brian L Burke, Christopher W Dunn, David C Atkins, and Jerry S Phelps. 2004 · 2004
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Quantitative evaluation of user simulation techniques for spoken dialogue systems
Jost Schatzmann, Kallirroi Georgila, and Steve Young. 2005 · 2005
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Questions and reflections: the use of motivational interviewing microskills in a peer-led brief alcohol intervention for college students
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Agency context and tailored training in technology transfer: A pilot evaluation of motivational interviewing training for community counselors
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A meta-analysis of motivational interviewing: Twenty-five years of empirical studies
Brad W Lundahl, Chelsea Kunz, Cynthia Brownell, Derrik Tollefson, and Brian L Burke. 2010 · 2010
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Motivational interviewing: Helping people change
William R Miller and Stephen Rollnick. 2012 · 2012
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A randomized controlled trial of event-specific prevention strategies for reducing problematic drinking associated with 21st birthday celebrations
Clayton Neighbors, Christine M Lee, David C Atkins, Melissa A Lewis, Debra Kaysen, Angela Mittmann, Nicole Fossos, Irene M Geisner, Cheng Zheng, and Mary E Larimer. 2012 · 2012
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Indicated prevention for college student marijuana use: A randomized controlled trial
Christine M Lee, Jason R Kilmer, Clayton Neighbors, David C Atkins, Cheng Zheng, Denise D Walker, and Mary E Larimer. 2013 · 2013
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Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification
David C Atkins, Mark Steyvers, Zac E Imel, and Padhraic Smyth. 2014 · 2014
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Randomized controlled trial of a spring break intervention to reduce high-risk drinking
Christine M Lee, Clayton Neighbors, Melissa A Lewis, Debra Kaysen, Angela Mittmann, Irene M Geisner, David C Atkins, Cheng Zheng, Lisa A Garberson, Jason R Kilmer, et al. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Brief intervention for problem drug use in safety-net primary care settings: a randomized clinical trial
Peter Roy-Byrne, Kristin Bumgardner, Antoinette Krupski, Chris Dunn, Richard Ries, Dennis Donovan, Imara I West, Charles Maynard, David C Atkins, Meredith C Graves, et al. 2014 · 2014
A comparison of natural language processing methods for automated coding of motivational interviewing
Michael Tanana, Kevin A Hallgren, Zac E Imel, David C Atkins, and Vivek Srikumar. 2016 · 2016
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Behavioral coding of therapist language in addiction counseling using recurrent neural networks
Bo Xiao, Dogan Can, James Gibson, Zac E Imel, David C Atkins, Panayiotis G Georgiou, and Shrikanth S Narayanan. 2016 · 2016
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spacy 2: Natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
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Technology-enhanced human interaction in psychotherapy
Zac E Imel, Derek D Caperton, Michael Tanana, and David C Atkins. 2017 · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. 2017 · 2017
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Cited alongside, same era.
Sustaining motivational interviewing: a meta-analysis of training studies
Craig S Schwalbe, Hans Y Oh, and Allen Zweben. 2014 · 2014
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A dialog act tagging approach to behavioral coding: A case study of addiction counseling conversations
Doğan Can, David C Atkins, and Shrikanth S Narayanan. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
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A hierarchical neural autoencoder for paragraphs and documents
Jiwei Li, Minh-Thang Luong, and Dan Jurafsky. 2015 · 2015
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Ryan Lowe, Nissan Pow, Iulian V. Serban, and Joelle Pineau. 2015 · 2015
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A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, and Jian-Yun Nie. 2015 · 2015
Cited alongside, same era.
Attention networks for modeling behaviors in addiction counseling
James Gibson, Dogan Can, Panayiotis Georgiou, David C Atkins, and Shrikanth S Narayanan. 2017 · 2016
Cited alongside, same era.
Predicting counselor behaviors in motivational interviewing encounters
Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence Ann, Kathy J Goggin, and Delwyn Catley. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Gated self-matching networks for reading comprehension and question answering
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou. 2017 · 2017
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Modeling temporality of human intentions by domain adaptation
Xiaolei Huang, Lixing Liu, Kate Carey, Joshua Woolley, Stefan Scherer, and Brian Borsari. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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The 7th dialog system technology challenge
Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D’Haro, Lazaros Polymenakos, Chulaka Gunasekara, Walter S. Lasecki, Jonathan Kummerfeld, Michael Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Sean Gao, Tim K. Marks, Devi Parikh, and Dhruv Batra. 2018 · 2018
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Conversations Gone Awry: Detecting Early Signs of Conversational Failure
Justine Zhang, Jonathan P Chang, Cristian Danescu-Niculescu-Mizil, Lucas Dixon, Yiqing Hua, Nithum Thain, and Dario Taraborelli. 2018 · 2018
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Speech and language processing
Dan Jurafsky and James H Martin. 2019 · 2019
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