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New methodology proposes structured approach for NLP system development

By PulseAugur Editorial · [2 sources] ·

A new paper outlines a methodology for developing successful natural language processing (NLP) systems, emphasizing a structured approach beyond just algorithmic knowledge. The paper proposes applying the Systems Development Life Cycle (SDLC) to NLP projects, particularly those involving data extraction from electronic medical records. It highlights various tools and platforms, including Hugging Face, alphaXiv, and DagsHub, that can aid in the development and citation process. AI

IMPACT Provides a structured framework for developing NLP systems, potentially improving efficiency and success rates in clinical research applications.

RANK_REASON The cluster contains an academic paper discussing a methodology for NLP system development.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New methodology proposes structured approach for NLP system development

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Olga V. Patterson, Brett South, T. Elizabeth Workman, Scott L DuVall ·

    Do It Right! A Methodology for Successful NLP System Development

    arXiv:2607.05644v1 Announce Type: cross Abstract: Natural language processing (NLP) is a common method for supplying data to clinical research and decision making by extracting information from electronic medical records. Numerous textbooks and tutorials describe specific algorit…

  2. arXiv cs.CL TIER_1 English(EN) · Scott L DuVall ·

    Do It Right! A Methodology for Successful NLP System Development

    Natural language processing (NLP) is a common method for supplying data to clinical research and decision making by extracting information from electronic medical records. Numerous textbooks and tutorials describe specific algorithms and applications for text processing, yet algo…

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