Stanford CoreNLP – a suite of core NLP tools. Stanford CoreNLP provides a set of natural language analysis tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract particular or open-class relations between entity mentions, get quotes people said, etc.

References in zbMATH (referenced in 25 articles )

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  1. Ayats, Hugo; Cellier, Peggy; Ferré, Sébastien: Extracting relations in texts with concepts of neighbours (2021)
  2. Kohar, Christopher P.; Greve, Lars; Eller, Tom K.; Connolly, Daniel S.; Inal, Kaan: A machine learning framework for accelerating the design process using CAE simulations: an application to finite element analysis in structural crashworthiness (2021)
  3. Niu, Yi-Shuai; You, Yu; Xu, Wenxu; Ding, Wentao; Hu, Junpeng; Yao, Songquan: A difference-of-convex programming approach with parallel branch-and-bound for sentence compression via a hybrid extractive model (2021)
  4. Ostovar, Ahmad; Bensch, Suna; Hellström, Thomas: Natural language guided object retrieval in images (2021)
  5. Basu, Kinjal; Varanasi, Sarat Chandra; Shakerin, Farhad; Gupta, Gopal: SQuARE: semantics-based question answering and reasoning engine (2020)
  6. Li, Dandan; Summers-Stay, Douglas: Dual embeddings and metrics for word and relational similarity (2020)
  7. Lyndon White; Ayush Kaushal; Mike J Innes; Rohit Kumar: WordTokenizers.jl: Basic tools for tokenizing natural language in Julia (2020) not zbMATH
  8. Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv
  9. Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning: Stanza: A Python Natural Language Processing Toolkit for Many Human Languages (2020) arXiv
  10. Raeid Saqur, Ameet Deshpande: CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes (2020) arXiv
  11. Samantha C Pendleton; Georgios V Gkoutos: Jabberwocky: an ontology-aware toolkit for manipulating text (2020) not zbMATH
  12. Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jiansha Sun: TopicModel4J: A Java Package for Topic Models (2020) arXiv
  13. Zhensu Sun, Yan Liu, Ziming Cheng, Chen Yang, Pengyu Che: Req2Lib: A Semantic Neural Model for Software Library Recommendation (2020) arXiv
  14. Ali, Syed Muhammad Fawad; Mey, Johannes; Thiele, Maik: Parallelizing user-defined functions in the ETL workflow using orchestration style sheets (2019)
  15. Basu, Kinjal: Conversational AI : open domain question answering and commonsense reasoning (2019)
  16. Gao, Tiantian: Knowledge authoring and question answering with KALM (2019)
  17. Jain, Vanita; Kapoor, Rishabh; Gulyani, Shashwat; Dubey, Arun Kumar: Categorization of spam images and identification of controversial images on mobile phones using machine learning and predictive learning (2019)
  18. Mandal, Sourav; Naskar, Sudip Kumar: Solving arithmetic mathematical word problems: a review and recent advancements (2019)
  19. Olson, Craig; Lierler, Yuliya: Information extraction tool \textsctext2alm: from narratives to action language system descriptions (2019)
  20. Gudivada, Venkat N.; Arbabifard, Kamyar: Open-source libraries, application frameworks, and workflow systems for NLP (2018)

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