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A Guide to Computational Linguistics and Conversational AI

Towards AI

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. In this article, we will dig into the basics of Computational Linguistics and Conversational AI and look at the architecture of a standard Conversational AI pipeline.

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68 Summaries of Machine Learning and NLP Research

Marek Rei

They focus on coherence, as opposed to correctness, and develop an automated LLM-based score (BooookScore) for assessing summaries. They first have humans assess each sentence of a sample of generated summaries, then check that the automated metric correlates with the human assessment. Computational Linguistics 2022.

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NLP Landscape: Germany (Industry & Meetups)

NLP People

The company utilises algorithms for targeted data collection and semantic analysis to extract fine-grained information from various types of customer feedback and market opinions. Dymatrix Dymatrix provide solutions for customer analytics and marketing automation, offering data mining automation software and big data analytics.

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What is Machine Translation? A Comprehensive Business Guide

Defined.ai blog

Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another. This might involve training your staff on using it or automating the translation process for specific documents. What is Machine Translation? Choose one that best fits your needs.

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Large Language Models – Technical Overview

Viso.ai

If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM). An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.

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Interview with Ekaterina Kamlovskaya, Ph.D. student

NLP People

This job brought me in close contact with a large number of IT researchers, and some of them happened to work in computational linguistics and machine learning. The project I was working on was aimed at encouraging school students to consider a career in IT.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

W&B Sweeps is a powerful tool to automate hyperparameter optimization. W&B Sweeps will automate this kind of exploration. He spent 10 years as Head of Morgan Stanley’s Algorithmic Trading Division in San Francisco. He is an Expert Advisor of Digital Technologies for Circular Economy with United Nations.

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