NLP

Clean, process and tokenise texts in milliseconds using in-built Polars string expressions — Introduction With the large scale adoption of Large language Models (LLMs) it might seem that we’re past the stage where we had to manually clean and process text data. Unfortunately, me and other NLP practitioners can attest that this is very much not the case. Clean text data is required at…

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Title：SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres Conference：ACL 2023 (Main Conference) Preprint：https://arxiv.org/abs/2305.13617 Project：https://github.com/zjunlp/SPEECH Welcome to reblog, please indicate the source. 1. Abstract Event-centric structured prediction involves predicting structured outputs of events. In most NLP cases, event structures are complex with manifold dependency, and it is challenging to effectively represent these complicated structured…

Natural Language Processing (NLP) refers to the technology that enables machines to comprehend and respond to human language in a manner that is indistinguishable from human understanding, thus passing the Turing Test. …

If you have landed on this blog, you probably already know what NLP is and I will spare you a boring introduction. In case you don’t, please follow this link to enjoy an introductory read. What I am sharing with you today is not a very technical topic but may…

In NLP (Natural Language Processing), Latent Dirichlet Allocation (LDA) is one of the most popular and widely used methods for topic modeling. Github : https://github.com/PreamJ/LDA_TopicModelling_Legal.git 1. Problem statement Today’s digital era, the internet has become an invaluable resource for individuals seeking advice and solutions. Internet forums have emerged as popular platforms where users…

In the world of programming, one of the most exciting recent developments is the growth of Natural Language Processing (NLP), a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. …

Essential NLP Concepts for Understanding Large Language Models Natural Language Processing (NLP) is an area of artificial intelligence dedicated to empowering computers with the ability to comprehend, interpret, and produce human language. The advent of advanced language models, exemplified by OpenAI’s GPT-3, has brought about a transformative impact on NLP, exhibiting remarkable achievements in text generation, machine translation…

We introduce EasyInstruct which is a Python package for instructing Large Language Models (LLM) like GPT-3, Llama, ChatGLM in your research experiments. It is designed to be easy to use and easy to extend. Github: https://github.com/zjunlp/EasyInstruct 📌Use EasyInstruct Please refer to the documentations for more details. BasePrompt BasePrompt is the base class for…