12 datasets found

The dataset used in the paper for zero-shot classification tasks in information extraction.

Information Extraction from visually rich documents is a challenging task that has gained a lot of attention in recent years due to its importance in several document-control...

Collective segmentation and labeling of distant entities in information extraction.

The DocRED dataset was built from Wikipedia and Wikidata, covering various relations related to science, art, personal life, etc.

The RuREBus corpus is a dataset of strategic planning documents issued by the Ministry of Economic Development of the Russian Federation.

The CALOR corpus is a collection of documents in French language that were hand annotated in frame semantics.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a few-shot relation extraction task (TACRED) and a few-shot variant of TACRED.

This dataset is contributed by Jin et al. It has 731 definitional and 1454 non-definitional sentences from the ACL-ARC anthology.

Definition Extraction (DE) is one of the well-known topics in Information Extraction that aims to identify terms and their corresponding definitions in unstructured texts.

A joint information extraction dataset providing entity, relation, and event annotation for three languages: English, Chinese, and Arabic.

The dataset used in the paper is a set of travel histories and types of travellers, where each traveller has a tendency to misreport their travel history.

The Exploiting Asymmetry for Synthetic Training in Proceedings of the 2023 Conference on data generation: SynthIE and the case of information extraction dataset is used to...