Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff∗, Kevin Clark∗, Jure Leskovec Stanford University {althoff, kevclark, jure}@cs.stanford.edu

Source URL: www.timalthoff.com

• Conversation
• Oral communication
• Psychotherapy
• Crisis intervention
• Human behavior
• School counselor

Empirical data on corpus design and usage in biomedical natural language processing

Source URL: compbio.ucdenver.edu

Chapter 1 An Introduction to SA Sentiment Analysis (SA) refers to a broad field of study in Natural Language Processing (NLP) and Artificial Intelligence (AI). In general, Sentiment Analysis is the task of identifying th

Source URL: www.cfilt.iitb.ac.in

The Social and the Neural Network: How to Make Natural Language Processing about People again Dirk Hovy Bocconi University Via Roberto SarfattiMilan, MI, Italy

Source URL: www.dirkhovy.com

Automated Scoring of Chatbot Responses in Conversational Dialogue Steven Kester Yuwono, Wu Biao, Luis Fernando D’Haro Abstract Rapid advancement in natural language processing (NLP) and machine learning has led to the

Source URL: www.colips.org

Filling Statistics with Linguistics – Property Design for the Disambiguation of German LFG Parses Martin Forst Institute of Natural Language Processing University of Stuttgart, Germany

Source URL: esslli2009.labri.fr

Information Extraction In Medical Domain Lekha June 12, 2015 Information extraction is an important task of machine learning and natural language processing. It involves extracting meaningful pieces of knowledge from nat

Source URL: www.cfilt.iitb.ac.in

Standard XML Query Languages for Natural Language Processing Ulrich Schaefer German Research Center for Artificial Intelligence (DFKI) Language Technology Lab, Saarbrucken ¨

Source URL: esslli2009.labri.fr

Biblical intertextuality in a digital world The tool GERTRUDE Göttingen Centre for Digital Humanities (GCDH) & Leipzig University, Natural Language Processing Annette Geßner, Christian Kötteritzsch, Gerhard Lauer DH-

Source URL: www.cs.unibo.it

Chapter 3 Classical Optimization and Search Techniques In this chapter we discuss a few popular optimization techniques in use in current day natural language processing algorithms. First we present the Hidden Markov

Source URL: www.cfilt.iitb.ac.in