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Cross-Lingual Relation Extraction with Transformers
Relation extraction (RE) is one of the most important tasks in information extraction, as it provides essential information for many NLP applications.
Event Presence Prediction Helps Trigger Detection Across Languages
The task of event detection and classification is central to most information retrieval applications.
Cascaded Models for Better Fine-Grained Named Entity Recognition
Named Entity Recognition (NER) is an essential precursor task for many natural language applications, such as relation extraction or event extraction.
Towards Lingua Franca Named Entity Recognition with BERT
In this paper we investigate a single Named Entity Recognition model, based on a multilingual BERT, that is trained jointly on many languages simultaneously, and is able to decode these languages with better accuracy than models trained only on one language.
Ranked #1 on
Cross-Lingual NER
on CoNLL Dutch
Generating Extractive Summaries of Scientific Paradigms
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material.
