Papers with text extraction problem
ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension (2021.emnlp-main)
Copied to clipboard
| Challenge: | Existing systems for word Sense Disambiguation assume that each word can be disambiguated individually . a novel approach to WSD is proposed to address this limitation . |
| Approach: | They propose a supervised semantics-based approach to Word Sense Disambiguation that takes into account the senses assigned to nearby words. |
| Outcome: | The proposed approach surpasses all its competitors and sets a new state of the art on English WSD. |
ExtEnD: Extractive Entity Disambiguation (2022.acl-long)
Copied to clipboard
| Challenge: | Entity disambiguation (ED) is a task in natural language processing that requires a large pre-trained language model to perform. |
| Approach: | They propose a local formulation for Entity Disambiguation (ED) that frames this task as a text extraction problem and propose two Transformer-based architectures that implement it. |
| Outcome: | The proposed model outperforms all its competitors in terms of data efficiency and raw performance on 4 out of 4 benchmarks. |