Archives for GLUE
ELECTRA is the present state-of-the-art in GLUE and SQuAD benchmarks. It is a self-supervised language representation learning model
The post How ELECTRA outperforms RoBERTa, ALBERT and XLNet appeared first on Analytics India Magazine.
The ability of natural language in machines, so far, has been elusive. However, the last couple of years, at least since the advent of Google’s BERT model, there has been tremendous innovation in this space. With NVIDIA and Microsoft releasing mega models with tens of millions of parameters, it is safe to say that we…
The post Top 8 Baselines For NLP Models appeared first on Analytics India Magazine.
Over the last few years, there have been significant advancements in the research of Chinese natural language understanding (NLU) and natural language processing (NLP). In order to make robust Chinese NLP models, various high-quality corpora of speech, text and others have been built by the researchers. The General Language Understanding Evaluation (GLUE) benchmark which was…
The post AI Researchers Develop New NLU Benchmark For Chinese Language appeared first on Analytics India Magazine.
BERT has set a new benchmark for NLP tasks. And, this has been documented quite well over the past six months. Bidirectional Encoder Representations from Transformers or BERT, which was open sourced last year, offered a new ground to embattle the intricacies involved in understanding the language models. BERT used WordPiece embeddings with a 30,000…
The post How Good Is BERT For Filling The Gap Between Accuracy Scores & Language Comprehension? appeared first on Analytics India Magazine.