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3 papers
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla +24
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily…
Fine-grained Contract NER using instruction based model
Hiranmai Sri Adibhatla, Pavan Baswani, Manish Shrivastava
Lately, instruction-based techniques have made significant strides in improving performance in few-shot learning scenarios. They achieve this by bridging the gap between pre-traine…
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?
Gopichand Kanumolu, Lokesh Madasu, Pavan Baswani +2
Fluency is a crucial goal of all Natural Language Generation (NLG) systems. Widely used automatic evaluation metrics fall short in capturing the fluency of machine-generated text.…