A Dictionary of Nonsubsective Adjectives
Abstract/Contents
- Abstract
- Computational approaches to inference and information extraction often assume that adjective-noun compounds maintain all the relevant properties of the unmodified noun. A significant portion of nonsubsective adjectives violate this assumption. We present preliminary work towards a classifier for these adjectives. We also compile a comprehensive list of 60 nonsubsective adjectives including those used for training and those found by the classifiers.
Description
| Type of resource | text |
|---|---|
| Form | technical reports |
| Extent | 1 text file |
| Place | Stanford (Calif.) |
| Date created | 2014 |
| Language | English |
| Digital origin | born digital |
Creators/Contributors
| Author | Nayak, Neha | |
|---|---|---|
| Author | Kowarsky, Mark | |
| Author | Angeli, Gabor | |
| Author | Manning, Christopher D. |
Subjects
| Subject | Stanford University. Computer Science Department |
|---|---|
| Subject | Computer science |
| Genre | Technical reports |
Bibliographic information
| Finding Aid | |
|---|---|
| Technical Report # | CS-TR-2014-04 |
| Location | https://purl.stanford.edu/ht591sf2294 |
| Location | 3840/2 |
| Repository | Stanford University. Libraries. Department of Special Collections and University Archives |
Access conditions
- Use and reproduction
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
Collection
Stanford University, Department of Computer Science, Technical Reports
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