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68 Summaries of Machine Learning and NLP Research

Marek Rei

link] Proposes an explainability method for language modelling that explains why one word was predicted instead of a specific other word. Adapts three different explainability methods to this contrastive approach and evaluates on a dataset of minimally different sentences. Computational Linguistics 2022.

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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Are you curious about explainability methods like saliency maps but feel lost about where to begin? QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. She is currently the president of the Association of Computational Linguistics.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). If CNNs are pre-trained the same way as transformer models, they achieve competitive performance on many NLP tasks [28].   Popularized by GPT-3 [32] , prompting has emerged as a viable alternative input format for NLP models.

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A Gentle Introduction to GPTs

Mlearning.ai

Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language.

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AI2 at ACL 2023

Allen AI

options that were not); 2) evaluate the quality of that caption by scoring it more highly than a lower quality option from the same contest; and 3) explain why the joke is funny. This paper introduces NLPositionality, a framework for characterizing design biases and quantifying the positionality of NLP datasets and models.

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Sentiment Analysis With SparkNLP and Comet

Heartbeat

Picture by Anna Nekrashevich , Pexels.com Introduction Sentiment analysis is a natural language processing technique which identifies and extracts subjective information from source materials using computational linguistics and text analysis. Spark NLP is a natural language processing library built on Apache Spark.

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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.