Semantic Tagging at the Sense Level
Abstract
This paper summarizes our research in the area of seman-tic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation us-ing a combination of machine learning and linguistically-motivated techniques. We describe a system for sentiment tagging of words and senses based on WordNet glosses and advance the treatment of sentiment as a fuzzy category.
Cite
Text
Andreevskaia and Bergler. "Semantic Tagging at the Sense Level." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Andreevskaia and Bergler. "Semantic Tagging at the Sense Level." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/andreevskaia2006aaai-semantic/)BibTeX
@inproceedings{andreevskaia2006aaai-semantic,
title = {{Semantic Tagging at the Sense Level}},
author = {Andreevskaia, Alina and Bergler, Sabine},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
url = {https://mlanthology.org/aaai/2006/andreevskaia2006aaai-semantic/}
}