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Name/Description Type Size Uploaded By Uploaded On

DC-NLP-2015-10 Mohit Iyyer

Mohit Iyyer, a PhD student at the University of Maryland, discusses his research into Deep Learning for Question Answering.

Adobe Acrobat file 7.3M Charlie G. Oct 16, 2015

DC-NLP-2015-09 John Beieler

John Beieler, a data scientist at Caerus Associates and a PhD candidate at Pennsylvania State University, presents "Political Event Data: The good, the bad, and the really ugly."

Adobe Acrobat file 3.5M Charlie G. Sep 12, 2015

DC-NLP-2015-07 Michael Lachanski

Michael Lachanski, an intern at US Department of the Treasury, talks sentiment and stocks with I Wanted to Predict the Stock Market with Twitter Mood and All I Got Was This Lousy Presentation.

Adobe Acrobat file 9.5M Charlie G. Aug 22, 2015

DC-NLP-2015-07 Dan Simonson

Regular contributor Dan Simonson, doctoral candidate at Georgetown University, presents Interactions between Narrative Schemas and Document Categories.

Adobe Acrobat file 120K Charlie G. Aug 22, 2015

DC-NLP-2015-06 David Woo

David Woo, Senior Data Analyst at AOL, presents a methodology using time-series clustering techniques that can provide early detection of trending topics before Twitter flags them as trending.

a .pptx file 853K Charlie G. Aug 22, 2015

DC-NLP-2014-11 Thomas Jones

Tommy Jones provides an introduction to topic modeling using latent Dirichlet allocation (LDA).

Adobe Acrobat file 9.7M Charlie G. Aug 22, 2015

DC-NLP-2015-04 Michael Czerny

Michael Czerny, a Data Scientist at L-3 Data Tactics, presents Modern Approaches to Sentiment Analysis using Word2Vec and Doc2Vec.

a .pptx file 4.5M Charlie G. Apr 12, 2015

DC-NLP-2015-03 Chris Phipps - IBM Watson NLP

Chris Phipps from the IBM Watson team sheds some light on how natural language processing is used in Watson.

Adobe Acrobat file 1.5M Charlie G. Mar 13, 2015

Merkhofer word2vec DC NLP

Liz Merkhofer introduces learned vector representations for words and the open source library, Word2Vec, that puts training state of the art representations within use.

Adobe Acrobat file 151K Charlie G. Jan 26, 2015

DC-NLP-2014-12 Kean Kaufmann

Kean Kaufmann reports from the trenches of medical informatics, describing how a computer-assisted coding (CAC) application was developed in the absence of a gold standard.

PowerPoint presentation 154K Charlie G. Dec 11, 2014

DC-NLP-2014-10 Sara Carothers

Sara Carothers, mobile project manager at the Washington Post, introduces Truth Teller, an experimental news app that fact-checks political speech.

Adobe Acrobat file 3.7M Charlie G. Oct 14, 2014

DC-NLP-2014-10 Tony Maull

Tony Maull, Senior Director of Enterprise at DataRPM, discusses the differences between computational search and content search.

Adobe Acrobat file 4.7M Charlie G. Oct 14, 2014

DC-NLP-2014-09 Kathy McCoy

Kathy McCoy, Professor of Computer & Information Science and Linguistics at the Univ. of Delaware and Consultant at NIDRR, gave a presentation on Replicating Semantic Connections Made by Visual Readers for a Scanning System for Nonvisual Readers.

PowerPoint presentation 1.6M Charlie G. Sep 11, 2014

DC-NLP-2014-08 Tony Davis

Tony Davis from 3M Health Information Systems discusses some of the techniques, linguistic & otherwise, that have been applied to Automatic Segmentation, with particular reference to two use cases: multimedia information retrieval and medical coding.

a .pptx file 1.7M Charlie G. Aug 14, 2014


Charlie Greenbacker, Director of Data Science at Altamira, provided an overview of Lumify and discussed how NLP tools are used to enrich the text content of ingested data and automatically discover connections with other bits of information.

Adobe Acrobat file 5.9M Charlie G. Apr 10, 2014

DC-NLP-2014-03 Casey Tesfaye

Casey Tesfaye, a researcher at the American Institute of Physics and author of the Free Range Research blog, gave a talk on analyzing the "women physics" Twitter search stream.

Adobe Acrobat file 1.8M Charlie G. Mar 14, 2014

DC-NLP-2014-03 Nathan Danneman

Nathan Danneman, a Data Scientist at Data Tactics, presented Item Response Theory models as a means of unsupervised sentiment analysis.

Adobe Acrobat file 2.1M Charlie G. Mar 14, 2014


Achim Ruopp's March 2014 presentation covers a brief (local) history of MT, a short introduction to the basics of statistical MT (SMT) and its essential ingredients, and how to get (customized) SMT to break down language barriers for your use case.

Adobe Acrobat file 1.2M Elizabeth M. Mar 13, 2014

DC-NLP-2013-11 Jordan Boyd-Graber.pdf

Prof. Jordan Boyd-Graber from the University of Maryland presented an hour-long talk on Big Data Analysis with Topic Models: Human Interaction, Streaming Computation, and Social Science Applications.

Zip archive 9.0M Charlie G. Nov 24, 2013

DC-NLP-2013-10 Thomas Jones

Tommy Jones, a statistician at the Science and Technology Policy Institute, will discuss methodologies for document clustering.

Adobe Acrobat file 3.0M Charlie G. Oct 14, 2013

DC-NLP-2013-10 Mihai Lintean

Mihai Lintean from Carney Labs will describe his dissertation research at the University of Memphis in short-text semantic similarity assessment.

Adobe Acrobat file 1.4M Charlie G. Oct 14, 2013

DC-NLP-2013-10 Liz Merkhofer

Liz Merkhofer will cover her current work at Berico Technologies in rapid, large-scale text analytics based on a combination of NLP and OLAP.

Adobe Acrobat file 1.1M Charlie G. Oct 14, 2013

DC-NLP-2013-09 Valerie Coffman

Valerie Coffman will present the unique text analytics methods used by Synapsify to measure quality and themes in writing.

Adobe Acrobat file 2.8M Charlie G. Sep 26, 2013

DC-NLP-2013-09 Ben Johnson

Ben Johnson will briefly describe the OpenWIMs system and give a demo of the latest OpenWIMs build.

Adobe Acrobat file 318K Charlie G. Sep 26, 2013

DC-NLP-2013-09 Charlie Greenbacker

Charlie Greenbacker, Principal Data Scientist at Berico Technologies, will provide a "crash course" in NLP techniques and applications.

Adobe Acrobat file 505K Charlie G. Sep 26, 2013

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