''You should probably read this'': Hedge Detection in Text
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866911883805589504 |
|---|---|
| author | Katerenchuk, Denys Levitan, Rivka |
| author_facet | Katerenchuk, Denys Levitan, Rivka |
| contents | Humans express ideas, beliefs, and statements through language. The manner of expression can carry information indicating the author's degree of confidence in their statement. Understanding the certainty level of a claim is crucial in areas such as medicine, finance, engineering, and many others where errors can lead to disastrous results. In this work, we apply a joint model that leverages words and part-of-speech tags to improve hedge detection in text and achieve a new top score on the CoNLL-2010 Wikipedia corpus. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_13319 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ''You should probably read this'': Hedge Detection in Text Katerenchuk, Denys Levitan, Rivka Computation and Language Machine Learning Humans express ideas, beliefs, and statements through language. The manner of expression can carry information indicating the author's degree of confidence in their statement. Understanding the certainty level of a claim is crucial in areas such as medicine, finance, engineering, and many others where errors can lead to disastrous results. In this work, we apply a joint model that leverages words and part-of-speech tags to improve hedge detection in text and achieve a new top score on the CoNLL-2010 Wikipedia corpus. |
| title | ''You should probably read this'': Hedge Detection in Text |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2405.13319 |