Bugra Akyildiz

JULY 16, 2023

In here, the distinction is that base models want to complete documents(with a given context) where assistant models can be used/tricked into performing tasks with prompt engineering. Large language models (LLMs) have shown promise in proving formal theorems using proof assistants such as Lean.

LLM 52

LLM Chatbots Neural Network Large Language Models 52

NLP People

JANUARY 2, 2019

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP).

BERT 52

BERT Natural Language Processing Computational Linguistics NLP 52

NLP People

JUNE 5, 2018

Nuance Nuance is developing intelligent systems for medical documentation, as well as mobile and automotive sectors. Utilising natural language understanding, they provide solutions that literally ‘speak human language’ by making users free from the need to acquire technical jargon. They are hiring.

NLP 52

NLP Data Mining Deep Learning Natural Language Processing 52

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval João Coelho, Bruno Martins, João Magalhães, Jamie Callan, Chenyan Xiong. ArXiv 2024.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

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

DECEMBER 6, 2021

Open-Retrieval QA vs Reading Comprehension Open-retrieval QA focuses on the most general setting where given a question we first need to retrieve relevant documents from a large corpus such as Wikipedia. We then process these documents to identify the relevant answer as can be seen below. XQA ( Liu et al., TyDi QA ( Clark et al.,

BERT 52

BERT NLP Natural Language Processing Computational Linguistics 52

Ines Montani

MAY 9, 2017

In this post I’ll share some lessons we’ve learned from running spaCy , the popular and fast-growing library for Natural Language Processing in Python. Challenges for open-source NLP One of the biggest challenges for Natural Language Processing is dealing with fast-moving and unpredictable technologies.

NLP 52

NLP Natural Language Processing Computational Linguistics Deep Learning 52

Sebastian Ruder

AUGUST 18, 2019

Later approaches then scaled these representations to sentences and documents ( Le and Mikolov, 2014 ; Conneau et al., Early approaches such as word2vec ( Mikolov et al., 2013 ) learned a single representation for every word independent of its context. 2017 ; Peters et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Schneider, R., Alayrac, J.

NLP 52

NLP ML BERT Computational Linguistics 52

Sebastian Ruder

JUNE 6, 2022

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. We make practical recommendations such as documenting dialect, style, and register information in datasets.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

Explosion

DECEMBER 28, 2019

Among other things, Ines discussed fast.ai ’s new course on Natural Language Processing and using Polyaxon for model training and experiment management. ? Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

NLP 52

NLP BERT Machine Learning Python 52

Explosion

MAY 8, 2016

In the same way that a physicist might assume a frictionless surface or a spherical cow , sometimes it’s useful for computational linguists to assume projective trees and context-free grammars. German is also famous for its capacity to form really long words , another process that is driven by the morphological system.

Convolutional Neural Networks 40

Convolutional Neural Networks NLP Neural Network Algorithm 40

Probably Approximately a Scientific Blog

JULY 13, 2015

After I dedicated the previous post to the awesome field of natural language processing, in this post I will drill down and tell you about the specific task that I'm working on: recognizing lexical inference. However, what if these documents don't contain the word actor ? Association for Computational Linguistics, 1992.

Computational Linguistics 52

Computational Linguistics Natural Language Processing NLP 52

Mlearning.ai

FEBRUARY 6, 2023

OpenAI themselves have included some considerations for education in their ChatGPT documentation, acknowledging the chatbot’s use in academic dishonesty. A Chatbot Detector could pick up on the writing style of a human (since a human re-wrote the chatbot answer) and classify the document as human-written. Attention is not Explanation.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

AWS Machine Learning Blog

AUGUST 8, 2024

By integrating LLMs, the WxAI team enables advanced capabilities such as intelligent virtual assistants, natural language processing (NLP), and sentiment analysis, allowing Webex Contact Center to provide more personalized and efficient customer support.

Generative AI 126

Generative AI LLM AI AI 126

NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. And, by the way, you can embed not only words, but also other things such as senses, sentences and whole documents. Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article].

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

Probably Approximately a Scientific Blog

OCTOBER 30, 2017

For example, this blog post is published in a blog that largely discusses natural language processing, so if I write "NLP", you'd know I refer to natural language processing rather than to neuro-linguistic programming. Given enough context (e.g. This can either be by searching for a pattern (e.g.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Computational Linguistics 52