Predicting the Semantic Orientation of Adjectives
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Summary
A log-linear regression model uses constraints from conjunctions to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task when each conjunction is considered independently.
- Type
- article
- Published
- 1997-07-07
- Cited by
- 2,119
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W2199803028
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8162001
Keywords
Conjunction (astronomy), Computer science, Task (project management), Orientation (vector space), Natural language processing
References
- Co-Occurrences of Antonymous Adjectives and Their Contexts
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- L'argumentation dans la langue
- Pattern classification and scene analysis
- Introduction to WordNet: An On-line Lexical Database
- Markedness and antonymy
- Class-Based n-gram Models of Natural Language
- The Statistical Analysis of Discrete Data
- The NP-Completeness Column: An Ongoing Guide
- A Quantitative Evaluation of Linguistic Tests for the Automatic Prediction of Semantic Markedness
- Markedness: The Evaluative Superstructure of Language
- Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning
- Cluster Dissection and Analysis: Theory, Fortran Programs, Examples.
- Semantic fields and lexical structure
- Generating Connectives
- Generalized Linear Models
- Practical Nonparametric Statistics
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- Streaming and Sketch Algorithms for Large Data NLP
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