Resources that give great intuition:
Relates to NLP
To understand convolution
Tutorial
Showing posts with label NLP. Show all posts
Showing posts with label NLP. Show all posts
Wednesday, November 25, 2015
Wednesday, October 2, 2013
Mid-Atlantic Student Colloquium on Speech, Language and Learning
UMBC is hosting the Mid-Atlantic Student Colloquium on Speech, Language and Learning.
Register online.
The schedule is now posted.
Snapshot of the schedule:
09:00-09:45 Registration, set up
09:45-10:00 Opening
10:00-11:20 Oral presentations I
Lushan Han, Abhay Kashyap, Tim Finin, James Mayfield and Jonathan Weese (UMBC & JHU). Semantic Textual Similarity Systems
Keith Levin, Aren Jansen and Ben Van Durme (JHU). Toward Faster Audio Search Using Context-Dependent Hashing
Shawn Squire, Monica Babes-Vroman, Marie Desjardins, Ruoyuan Gao, Michael Littman, James MacGlashan and Smaranda Muresan (UMBC & Brown). Learning to Interpret Natural Language Instructions
Viet-An Nguyen, Jordan Boyd-Graber and Philip Resnik (UMCP). Lexical and Hierarchical Topic Regression
11:20-12:10 Poster session I
Posters
12:10-12:40 Lunch
12:40-1:40 Panel
"How to be a successful PhD student and and transition to a great job"
Marie desJardins (UMBC)
Mark Dredze (JHU)
Claudia Pearce (DoD)
Ian Soboroff (NIST)
Hanna Wallach (UMass)
1:50-3:10 Oral presentations II
Qingqing Cai and Alexander Yates (Temple). Large-scale Semantic Parsing via Schema Matching and Lexicon Extension
William Yang Wang and William W. Cohen (CMU). Efficient First-Order Probabilistic Logic Programming for Natural Language Inference
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark (JHU & UPenn & AI2). Semi-Markov Phrase-based Monolingual Alignment
Wei Xu, Alan Ritter and Ralph Grishman (NYU). Gathering and Generating Paraphrases from Twitter with Application to Normalization
3:10-4:00 Poster session II
Posters
4:00-5:00 Breakout sessions
NLP in low resource settings, Ann Irvine (JHU)
Dynamic Programming: Theory and Practice, Alexander Rush (Columbia/MIT)
NELL: Never Ending Language Learning, Partha Pratim Talukdar (CMU)
5:00 Closing
5:15 - 7:00 Wine down
Wine and beer at Flat Tuesdays, UMBC Commons
Register online.
The schedule is now posted.
Snapshot of the schedule:
09:00-09:45 Registration, set up
09:45-10:00 Opening
10:00-11:20 Oral presentations I
Lushan Han, Abhay Kashyap, Tim Finin, James Mayfield and Jonathan Weese (UMBC & JHU). Semantic Textual Similarity Systems
Keith Levin, Aren Jansen and Ben Van Durme (JHU). Toward Faster Audio Search Using Context-Dependent Hashing
Shawn Squire, Monica Babes-Vroman, Marie Desjardins, Ruoyuan Gao, Michael Littman, James MacGlashan and Smaranda Muresan (UMBC & Brown). Learning to Interpret Natural Language Instructions
Viet-An Nguyen, Jordan Boyd-Graber and Philip Resnik (UMCP). Lexical and Hierarchical Topic Regression
11:20-12:10 Poster session I
Posters
12:10-12:40 Lunch
12:40-1:40 Panel
"How to be a successful PhD student and and transition to a great job"
Marie desJardins (UMBC)
Mark Dredze (JHU)
Claudia Pearce (DoD)
Ian Soboroff (NIST)
Hanna Wallach (UMass)
1:50-3:10 Oral presentations II
Qingqing Cai and Alexander Yates (Temple). Large-scale Semantic Parsing via Schema Matching and Lexicon Extension
William Yang Wang and William W. Cohen (CMU). Efficient First-Order Probabilistic Logic Programming for Natural Language Inference
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark (JHU & UPenn & AI2). Semi-Markov Phrase-based Monolingual Alignment
Wei Xu, Alan Ritter and Ralph Grishman (NYU). Gathering and Generating Paraphrases from Twitter with Application to Normalization
3:10-4:00 Poster session II
Posters
4:00-5:00 Breakout sessions
NLP in low resource settings, Ann Irvine (JHU)
Dynamic Programming: Theory and Practice, Alexander Rush (Columbia/MIT)
NELL: Never Ending Language Learning, Partha Pratim Talukdar (CMU)
5:00 Closing
5:15 - 7:00 Wine down
Wine and beer at Flat Tuesdays, UMBC Commons
Sunday, September 15, 2013
NLP Resources
I am spending time this semester learning NLP since my work overlaps with NLP. I found a free ebook for learning NLP in Python. Another link for this book is here.
At the UMBC NLP course web site there are also slides available.
In particular, I have been working with OpenNLP which so far has been very useful. However, I am at the point of doing in-doc coref and having a lot of problems. There is not really any documentation on the in-doc coref api calls but I did find someone who dug into the code a bit and found a way to do it. However, so far, when executing my implementation, it runs forever. I hope to have an update soon.
At the UMBC NLP course web site there are also slides available.
In particular, I have been working with OpenNLP which so far has been very useful. However, I am at the point of doing in-doc coref and having a lot of problems. There is not really any documentation on the in-doc coref api calls but I did find someone who dug into the code a bit and found a way to do it. However, so far, when executing my implementation, it runs forever. I hope to have an update soon.
UMBC ebiquity group
Our group is performing interesting research by blending semantic computing with security, mobile devices, medical informatics and big data problems. Some of this research overlaps quite a bit with natural language processing.
Read our publications to see the latest research coming from our lab.
Monday, September 9, 2013
Tuesday, April 9, 2013
Building Templates for Basic Entity Types
http://schema.org/Person
http://schema.org/Organization
http://nlp.cs.nyu.edu/ene/version7_1_0Beng.html
Subscribe to:
Posts (Atom)