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ed.loper.org

Edward Loper

Research Scientist at BBN Technologies. The Natural Language Toolkit. Automatically genreate API docs for Python modules. Emacs mode for editing files that contain Python doctests. Notes from papers I've read. Notes from classes I've taken. Encoding Structured Output Values. (PhD Dissertation). Combining Lexical Resources: Mapping between PropBank and VerbNet. (IWCS7). Can Semantic Roles Generalize Across Genres? Combining Lexical Resources: Mapping between PropBank and VerbNet.

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Edward Loper | ed.loper.org Reviews
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Research Scientist at BBN Technologies. The Natural Language Toolkit. Automatically genreate API docs for Python modules. Emacs mode for editing files that contain Python doctests. Notes from papers I've read. Notes from classes I've taken. Encoding Structured Output Values. (PhD Dissertation). Combining Lexical Resources: Mapping between PropBank and VerbNet. (IWCS7). Can Semantic Roles Generalize Across Genres? Combining Lexical Resources: Mapping between PropBank and VerbNet.
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1 edward loper
2 projects
3 publications
4 presentations
5 notes
6 edloper@gmail com
7 status
8 nltk
9 epydoc
10 semlink
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Edward Loper | ed.loper.org Reviews

https://ed.loper.org

Research Scientist at BBN Technologies. The Natural Language Toolkit. Automatically genreate API docs for Python modules. Emacs mode for editing files that contain Python doctests. Notes from papers I've read. Notes from classes I've taken. Encoding Structured Output Values. (PhD Dissertation). Combining Lexical Resources: Mapping between PropBank and VerbNet. (IWCS7). Can Semantic Roles Generalize Across Genres? Combining Lexical Resources: Mapping between PropBank and VerbNet.

INTERNAL PAGES

ed.loper.org ed.loper.org
1

SemLink

http://ed.loper.org/projects/semlink.html

SemLink is a project whose aim is to link together different lexical resources via a set of mappings. These mappings will make it possible to combine the different information provided by these different lexical resources for tasks such as inferencing. We also plan to use the mappings to aid in semi-automatic extension of each resources coverage, to increase the overall overlap in coverage. Currently, we are creating mappings between the following resources:. A lexicon based on frame semantics.

2

Presentations

http://ed.loper.org/presentations

Combining Lexical Resources: Mapping between PropBank and VerbNet. 7th International Workshop on Computational Linguistics, Tilburg, the Netherlands. January 2007. VerbNet, PropBank, and SemLink. Joint Meeting of the ACL/SIGSEM Working Group on Representation of Multimodal Semantic Information and the ISO Task Domain Group on Semantic Content Representation, Tilburg, the Netherlans. January 2007. Epydoc: Generating API Documentation in Python. PyCon 2004, Washington, D. C. PyCon 2004, Washington, D. C.

3

ML - Notes on Papers

http://ed.loper.org/notes/papers/ML.html

Tsochantaridis et al, 2004. Support Vector Machine Learning for Interdependent and Structured Output Spaces. Fei Sha and Pereira 2003. Shallow Parsing with Conditional Random Fields. Sutton and McCallum 2006. An Introduction to Conditional Random Fields for Relational Learning. Conditional Random Fields: An Introduction. A Maximum Entropy Approach to Natural Language Processing. The Improved Iterative Scaling Algorithm: A Gentle Introduction. Borthwick, Sterling, Agichtein, Grishman 1998.

4

AI - Notes on Papers

http://ed.loper.org/notes/papers/AI.html

Hobbs, Stickel, Martin, Edwards 1988. The Games Computers (and People) Play.

5

Ling - Notes on Papers

http://ed.loper.org/notes/papers/Ling.html

Gerhard Jager, Reinhard Blutner 2006. Against Lexical Decomposition in Syntax. Regularities in Null Instantiation. Hale, Keyser 1993. On Argument Structure and the Lexical Expression of Syntactic Relations. Lakoff, Ross 1976. Why You Can't Do So Into The Sink. Meyers, Macleod, Grishman 1994. Standardization of the Complement Adjunct Distinciton. Towards a Minimalist Analysis of the Argument-Adjunct Asymmetries in English. Can Subcategorization Help a Statistical Dependency Parser? Carroll, Minnen 1998.

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7. Extracting Information from Text

http://www.nltk.org/book/ch07.html

7 Extracting Information from Text. How can we build a system that extracts structured data, such as tables, from unstructured text? What are some robust methods for identifying the entities and relationships described in a text? Which corpora are appropriate for this work, and how do we use them for training and evaluating our models? Along the way, we'll apply techniques from the last two chapters to the problems of chunking and named-entity recognition. Then answering these queries is straightforward.

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Loper Family Website

https://www.loper.org/edward.html

Mini-molten chocolate cakes, with mocha cream. Http:/ ed.loper.org/.

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People

http://hltcoe.jhu.edu/people/categories/alumni

Data Sets and Resources. People » Alumni. Former HLTCOE Director of Research, 2007-2009. Founder of Dragon Systems. Former Post-Doctoral Researcher. Natural Language Processing. Former Postdoctoral Researcher. Machine Learning, including active learning; natural language processing, including information extraction and machine translation. Former Principal Research Scientist, Lead, Machine Translation. Now Assistant Professor of Computer Science at the University of Pennsylvania. Former Research Scientis...

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Research Scientist at BBN Technologies. The Natural Language Toolkit. Automatically genreate API docs for Python modules. Emacs mode for editing files that contain Python doctests. Notes from papers I've read. Notes from classes I've taken. Encoding Structured Output Values. (PhD Dissertation). Combining Lexical Resources: Mapping between PropBank and VerbNet. (IWCS7). Can Semantic Roles Generalize Across Genres? Combining Lexical Resources: Mapping between PropBank and VerbNet.

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