48 citations · 83 across the 5 of their papers we have counts for
5 papers
Cross-Lingual Relation Extraction with Transformers
Jian Ni, Taesun Moon, Parul Awasthy +1
Relation extraction (RE) is one of the most important tasks in information extraction, as it provides essential information for many NLP applications. In this paper, we propose a c…
Cascaded Models for Better Fine-Grained Named Entity Recognition
Parul Awasthy, Taesun Moon, Jian Ni +1
Named Entity Recognition (NER) is an essential precursor task for many natural language applications, such as relation extraction or event extraction. Much of the NER research has…
Event Presence Prediction Helps Trigger Detection Across Languages
Parul Awasthy, Tahira Naseem, Jian Ni +2
The task of event detection and classification is central to most information retrieval applications. We show that a Transformer based architecture can effectively model event extr…
Towards Lingua Franca Named Entity Recognition with BERT
Taesun Moon, Parul Awasthy, Jian Ni +1
Information extraction is an important task in NLP, enabling the automatic extraction of data for relational database filling. Historically, research and data was produced for Engl…
Generating Extractive Summaries of Scientific Paradigms
Vahed Qazvinian, Dragomir R. Radev, Saif M. Mohammad +4
Researchers and scientists increasingly find themselves in the position of having to quickly understand large amounts of technical material. Our goal is to effectively serve this n…