Pankaj Gupta

Adversarial Adaptation for French Named Entity Recognition

2023 · arXiv (Cornell University)

Named Entity Recognition (NER) is the task of identifying and classifying named entities in large-scale texts into predefined classes. NER in French and other relatively limited-resource languages cannot always benefit from approaches proposed for languages …

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

2016 · International Conference on Computational Linguistics

This paper proposes a novel context-aware joint entity and word-level relation extraction approach through semantic composition of words, introducing a Table Filling Multi-Task Recurrent Neural Network (TF-MTRNN) model that reduces the entity recognition and relation …

Neural Relation Extraction within and across Sentence Boundaries

2019

Past work in relation extraction mostly focuses on binary relation between entity pairs within single sentence. Recently, the NLP community has gained interest in relation extraction in entity pairs spanning multiple sentences. In this paper, …