Remove Computational Linguistics Remove Data Quality Remove Neural Network
article thumbnail

Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. They use neural networks that are inspired by the structure and function of the human brain. How Do Large Language Models Work?

article thumbnail

Building a Sentiment Classification System With BERT Embeddings: Lessons Learned

The MLOps Blog

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. Tools like Domino , Superwise AI , Arize AI , etc.,

BERT 52
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

ML and NLP Research Highlights of 2021

Sebastian Ruder

Given the importance of data for scaling up models, however, attention is slowly shifting from model-centric to data-centric approaches. Important topics include how to build and maintain new datasets efficiently and how to ensure data quality (see the Data-centric AI workshop at NeurIPS 2021 for an overview).

NLP 52
article thumbnail

ACL 2022 Highlights

Sebastian Ruder

The initiative focuses on making Computational Linguistics (CL) research accessible in 60 languages and across all modalities, including text/speech/sign language translation, closed captioning, and dubbing. Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (Kreutzer et al.).

NLP 52