MatSciBERT: A materials domain language model for text mining and information extraction

T Gupta, M Zaki, NMA Krishnan, Mausam - npj Computational Materials, 2022 - nature.com
A large amount of materials science knowledge is generated and stored as text published in
peer-reviewed scientific literature. While recent developments in natural language …

[PDF][PDF] Exploring transformer-based language recognition using phonotactic information

D Romero, LF D'Haro, C Salamea - Proc. IberSPEECH, 2021 - core.ac.uk
This paper describes an encoder-only approach based on the “Transformer architecture”
applied to the language recognition (LRE) task using phonotactic information. Due to the …

" Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds

K Kolluru, G Stanovsky - arXiv preprint arXiv:2210.13039, 2022 - arxiv.org
Proper noun compounds, eg," Covid vaccine", convey information in a succinct manner (a"
Covid vaccine" is a" vaccine that immunizes against the Covid disease"). These are …

[PDF][PDF] NEURAL METHODS FOR MONOLINGUAL AND MULTILINGUAL OPEN INFORMATION EXTRACTION

KSAI KOLLURU - 2023 - cse.iitd.ac.in
Abstract Open Information Extraction (Open IE) aims to extract semi-structured information
from natural language text in a domain-independent fashion. It is formulated as extracting a …