SciDr at SDU-2020: IDEAS -- Identifying and Disambiguating Everyday Acronyms for Scientific Domain
Not on the map. Why?
Abstract (arXiv)
We present our systems submitted for the shared tasks of Acronym Identification (AI) and Acronym Disambiguation (AD) held under Workshop on SDU. We mainly experiment with BERT and SciBERT. In addition, we assess the effectiveness of "BIOless" tagging and blending along with the prowess of ensembling in AI. For AD, we formulate the problem as a span prediction task, experiment with different training techniques and also leverage the use of external data. Our systems rank 11th and 3rd in AI and AD tasks respectively.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 26 references that are in the map. First posted on arXiv 17 Feb 2021.
Builds on
11 of 26 references.
References · 11
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2017Decoupled Weight Decay Regularizationcited by 1,722
- 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
- 2020What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguationcited by 26
- 2019Deep Contextualized Biomedical Abbreviation Expansioncited by 14
- 2020Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understandingcited by 12
- 2019A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguationcited by 8
- 2019Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddingscited by 5
- 2020DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extractioncited by 2
Built on by
Citing papers per year: 2021: 1.
1 paper.