Papers with Information Extraction task
Multi-lingual Entity Discovery and Linking (P18-5)
Copied to clipboard
| Challenge: | This tutorial reviews the framework of cross-lingual EL and motivates it as a broad paradigm for the Information Extraction task. |
| Approach: | This tutorial will review the framework of cross-lingual EL and motivate it as a broad paradigm for the Information Extraction task. |
| Outcome: | The aim of this tutorial is to review the framework of cross-lingual EL and motivate it as a broad paradigm for the Information Extraction task. |
Semantic Context Path Labeling for Semantic Exploration of User Reviews (2021.emnlp-demo)
Copied to clipboard
| Challenge: | a prototype system for semantic exploration of user reviews is presented . the system enables effective navigation in a rich contextual semantic schema . |
| Approach: | They propose a system that extracts rich and diverse information from informative texts . they use a task to assign types and semantic roles to entities in the reviews . |
| Outcome: | The proposed system can extract rich and diverse information from informative texts . it can be used to explore large quantities of user reviews, which contain useful information . |
Cross-lingual Structure Transfer for Relation and Event Extraction (D19-1)
Copied to clipboard
| Challenge: | Existing approaches to identify complex semantic structures are difficult to train from under-annotated sources. |
| Approach: | They exploit relation- and event-relevant language-universal features to train relation or event extractors from source annotations and apply them to target languages. |
| Outcome: | The proposed approach achieves comparable performance to state-of-the-art models trained on 3,000 manually annotated mentions. |
Breaking Writer’s Block: Low-cost Fine-tuning of Natural Language Generation Models (2021.eacl-demos)
Copied to clipboard
| Challenge: | Currently, it is standard procedure to fine-tune large pre-trained language models for information extraction tasks, but this is not the case for generation tasks, which relies on a variety of techniques for controlled language generation. |
| Approach: | They propose a system that fine-tunes a natural language generation model for the problem of solving writer’s block. |
| Outcome: | The proposed system obtains excellent results even with a small number of epochs and a total cost of USD 150. |