Papers by Matthew Jörke
Attending to Long-Distance Document Context for Sequence Labeling (2020.findings-emnlp)
Copied to clipboard
| Challenge: | UC Berkeley researchers develop a method for incorporating global context in long documents . many of the main datasets used in NLP are comprised of relatively short documents - english OntoNotes contains 223 tokens . |
| Approach: | They propose a method for incorporating global context in long documents . they use multiple mentions of the same word type to generate a representation for each token . |
| Outcome: | The proposed model performs better at recognizing entities with high TF-IDF scores than parametric models lacking context. |