Automated Author ProfileNapoles, Courtney
Napoles, Courtney
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction
Annotated English Gigaword was developed by Johns Hopkins University's Human Language Technology Center of Excellence. It adds automatically-generated syntactic and discourse structure annotation to English Gigaword Fifth Edition (LDC2011T07) and also contains an API and tools for reading the dataset's XML files. The goal of the annotation is to provide a standardized corpus for knowledge extraction and distributional semantics which enables broader involvement in large-scale knowledge-acquisition efforts by researchers.
Data
Annotated English Gigaword contains the nearly ten million documents (over four billion words) of the original English Gigaword Fifth Edition from seven news sources:
- Agence France-Presse, English Service (afp_eng)
- Associated Press Worldstream, English Service (apw_eng)
- Central News Agency of Taiwan, English Service (cna_eng)
- Los Angeles Times/Washington Post Newswire Service (ltw_eng)
- Washington Post/Bloomberg Newswire Service (wpb_eng)
- New York Times Newswire Service (nyt_eng)
- Xinhua News Agency, English Service (xin_eng)
The following layers of annotation were added:
- Tokenized and segmented sentences
- Treebank-style constituent parse trees
- Syntactic dependency trees
- Named entities
- In-document coreference chains
The annotation was performed in a three-step process: (1) the data was preprocessed and sentences selected for annotation (sentences with more than 100 tokens were excluded) (2) syntactic parses were derived and (3) the parsed output was post-processed to derive syntactic dependencies, named entities and coreference chains. Over 183 million sentences were parsed.
The data is stored in a form similar to the gigaword SGML format with XML annotations containing the additional markup. The included API provides object representations for the contents of the XML files.
Samples
Please the link for a sample.
Additional Licensing Information
Any 2011 member organization that licensed English Gigaword Fifth Edition (LDC2011T07) may request a no-cost copy of Annotated English Gigaword. Any non-member organization that licensed English Gigaword Fifth Edition may request a copy of Annotated English Gigaword for a $250 media fee. Please contact [email protected] for licensing or with any additional questions.
Updates
None at this time.
Portions © 1994-2010 Agence France Presse, © 1994-2010 The Associated Press, © 1997-2010 Central News Agency (Taiwan), © 1994-1998, 2003-2009 Los Angeles Times-Washington Post News Service, Inc., © 1994-2010 New York Times, © 2010 The Washington Post News Service with Bloomberg News, © 1995-2010 Xinhua News Agency, © 2012 Matthew R. Gormley, © 2003, 2005, 2007, 2009, 2011, 2012 Trustees of the University of Pennsylvania
Authors
- Napoles, Courtney ;
- Gormley, Matthew R. ;
- Van Durme, Benjamin