Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Association for Computational Linguistics.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

NLP People

JUNE 5, 2018

spaCy spaCy is an open-source software library for advanced industrial-strength NLP, created by Explosion AI, a digital studio specialising in Artificial Intelligence and Natural Language Processing. They are hiring. They are not hiring at the moment, but you can always drop them a line.

NLP 52

NLP Data Mining Deep Learning Machine Learning 52

Viso.ai

JULY 18, 2024

LLMs are pre-trained on extensive data on the web which shows results after comprehending complexity, pattern, and relation in the language. LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA).

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

Topbots

JANUARY 30, 2023

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems. SKILL: Structured Knowledge Infusion for Large Language Models.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. 2340–2354). Winata, G.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Sebastian Ruder

FEBRUARY 23, 2023

We first highlight common applications in NLP and then draw analogies to applications in speech, computer vision, and other areas of machine learning. Computer vision and cross-modal learning. In computer vision, common module choices are adapters and subnetworks based on ResNet or Vision Transformer models.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). In computer vision, supervised pre-trained models such as Vision Transformer [2] have been scaled up [3] and self-supervised pre-trained models have started to match their performance [4]. Schneider, R.,

NLP 52

NLP ML BERT Computational Linguistics 52