Update README.md

README.md

@@ -66,7 +66,6 @@ Some Rubrics (last updated April, 2015)
 I've done in-depth proximity searches for Fetters, Government, Mineral, War, and Writing metaphors. These categories are marked with an asterisk in the list above.
 
 
-
 - **Curated by:** [Brad Pasanek]
 - **Language(s) (NLP):** [English]
 - **License:** [CC BY-NC-SA 2.5 DEED]
@@ -75,53 +74,19 @@ I've done in-depth proximity searches for Fetters, Government, Mineral, War, and
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** []
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
-
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
+- **Repository:** [http://metaphors.iath.virginia.edu/metaphors]
 
 ### Source Data
 
 There are over 14,000 metaphors in the database as of April, 2015. I've hundreds more marked in books and scribbled on notecards, and I am typing those up -- slowly, surely. It's much easier to cut and paste.
 
-My method for finding metaphors may be classified as "hunt-and-peck," but a few years ago I collaborated with D. Sculley, formerly of Tufts University's Department of Computer Science and now at Google Pittsburgh, on a search protocol informed by machine-learning techniques. We trained a computer to label metaphors and non-metaphors correctly. Our experiments suggest one might be able to automate much of my daily drudgery by using a classifier trained on a seed set of 100-200 labeled metaphors and non-metaphors. This hand-curated database of metaphors could then be put to work in bootstrapping efforts, repurposed as training data for automated classifiers sent forward and backward in history, departing from the eighteenth century in order to collect Renaissance and Victorian metaphors.
-
-Should we eventually build an automated metaphor-classifier and charge it with exploring the great unread collections of electronic literature, I would be more confident in presenting a statistical picture of eighteenth-century discourse. In the meantime, two papers we've written on the subject have been published in Oxford's Literary and Linguistic Computing.
-
 #### Data Collection and Processing
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-[]
+[My method for finding metaphors may be classified as "hunt-and-peck," but a few years ago I collaborated with D. Sculley, formerly of Tufts University's Department of Computer Science and now at Google Pittsburgh, on a search protocol informed by machine-learning techniques. We trained a computer to label metaphors and non-metaphors correctly. Our experiments suggest one might be able to automate much of my daily drudgery by using a classifier trained on a seed set of 100-200 labeled metaphors and non-metaphors. This hand-curated database of metaphors could then be put to work in bootstrapping efforts, repurposed as training data for automated classifiers sent forward and backward in history, departing from the eighteenth century in order to collect Renaissance and Victorian metaphors.
+
+Should we eventually build an automated metaphor-classifier and charge it with exploring the great unread collections of electronic literature, I would be more confident in presenting a statistical picture of eighteenth-century discourse. In the meantime, two papers we've written on the subject have been published in Oxford's Literary and Linguistic Computing.]
 
 #### Who are the source data producers?
 
@@ -129,51 +94,6 @@ Should we eventually build an automated metaphor-classifier and charge it with e
 
 [Brad Pasanek, Assistant Professor of English, University of Virginia]
 
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
 
 ## Glossary [optional]
 
@@ -229,8 +149,8 @@ Religion. An author's religious beliefs are likewise labeled when given in the O
 
 ## Dataset Card Authors [optional]
 
-[More Information Needed]
+[Blair Sadewitz]
 
 ## Dataset Card Contact
 
-[More Information Needed]
+[blair.sadewitz@gmail.com]