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  1. New Project Debater AI technologies available as cloud APIs

    Mar 17, 2021 · In February 2019 and after six years of work by natural language processing and machine learning researchers and engineers, an IBM AI dubbed Project Debater became the first AI …

  2. Promoting Endangered Languages with AI - IBM Research

    May 16, 2024 · Pinhanez set out a year ago with colleagues at IBM Research — Brazil, and Indigenous language experts at the University of São Paulo, to see if AI could help to promote Brazil’s …

  3. 自然语言处理 - 知乎

    Apr 24, 2020 · 自然语言处理,英文Natural Language Processing,简写NLP。NLP这个概念本身过于庞大,可以把它分成“自然语言”和“处理”两部分。先来看自然语言。区分于计算机语言,自然语言是人 …

  4. 如何系统学习自然语言处理 (NLP)? - 知乎

    CS224n: Natural Language Processing with Deep Learning • 自然语言处理的书籍推荐: Speech and Language Processing 2. 常见的NLP任务 大致将NLP任务划分为4个大类: • 文本分类 • 序列标注 • 问 …

  5. Natural Language Processing - IBM Research

    Apr 15, 2026 · Natural Language Processing Much of the information that can help transform enterprises is locked away in text, like documents, tables, and charts. We’re building advanced AI systems that …

  6. NLP领域有哪些必读的经典论文? - 知乎

    列出一些通用的NLP知识点,如果更早的话直接看书比较全:Speech and Language Processing:An Introduction to Natural Language Processing,Computational Linguistics, and Speech Recognition。 …

  7. Youngja Park - IBM Research

    My primary research areas are natural language processing (NLP), data mining, machine learning and information security. I am particularly interested in applying NLP and machine learning technologies …

  8. 计算机自然语言处理方向有哪些认可度比较高的会议/期刊? - 知乎

    例如:Tier1:ACL,NAACL,EMNLPTier2:TACL,AAAI,COLING,IJCAI?请求大佬们完善此list。谢谢!

  9. Why larger LLM context windows are all the rage - IBM Research

    Jul 24, 2024 · What’s an LLM context window and why is it getting larger? Larger context windows give language models more background to consider as they generate a response, leading to more …

  10. ICNLP 请问有大兄弟了解吗? - 知乎

    自然语言处理(Natural Language Processing,NLP)是计算机科学、人工智能和语言学领域的一个交叉学科,通过自然语言处理技术,可以实现机器翻译、问答系统、情感分析、文本摘要等多种应用。