Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
Amit Pandey, Swayatta Daw, Vikram Pudi · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
We investigate the task of complex NER for the English language.The task is non-trivial due to the semantic ambiguity of the textual structure and the rarity of occurrence of such entities in the prevalent literature.Using pretrained language models such as BERT, we obtain a competitive performance on this task.We qualitatively analyze the performance of multiple architectures for this task.All our models are able to outperform the baseline by a significant margin.Our best performing model beats the baseline F1-score by over 9%.