Heartbeat

AUGUST 23, 2023

Enter Natural Language Processing (NLP) and its transformational power. Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. This is the promise of NLP: to transform the way we approach legal discovery.

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NLP Natural Language Processing Algorithm Categorization 52

John Snow Labs

OCTOBER 19, 2023

With these algorithms being used to make important decisions in various fields, it is crucial to address the potential for unintended bias to affect their outcomes. Understanding the Impact of Bias on NLP Models Why test NLP models for Bias? Natural Language Processing (NLP) models rely heavily on bias to function effectively.

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Marktechpost

MARCH 10, 2024

While effective in creating a base for model training, this foundational approach confronts substantial challenges, notably in ensuring data quality, mitigating biases, and adequately representing lesser-known languages and dialects. A recent survey by researchers from South China University of Technology, INTSIG Information Co.,

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Large Language Models Natural Language Processing LLM Categorization 97

Defined.ai blog

APRIL 10, 2023

Named Entity Recognition (NER) is a natural language processing (NLP) subtask that involves automatically identifying and categorizing named entities mentioned in a text, such as people, organizations, locations, dates, and other proper nouns.

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NLP Categorization Natural Language Processing Algorithm 52

Defined.ai blog

APRIL 10, 2023

Named Entity Recognition (NER) is a natural language processing (NLP) subtask that involves automatically identifying and categorizing named entities mentioned in a text, such as people, organizations, locations, dates, and other proper nouns.

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NLP Categorization Natural Language Processing Algorithm 52

Towards AI

MAY 20, 2023

Challenges of building custom LLMs Building custom Large Language Models (LLMs) presents an array of challenges to organizations that can be broadly categorized under data, technical, ethical, and resource-related issues. Ensuring data quality during collection is also important.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Knowledge management – Categorizing documents in a systematic way helps to organize an organization’s knowledge base. Amazon Comprehend custom classification can be useful in this situation.

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