StanfordCoreNLP

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 18 articles )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Li, Dandan; Summers-Stay, Douglas: Dual embeddings and metrics for word and relational similarity (2020)
  2. Lyndon White; Ayush Kaushal; Mike J Innes; Rohit Kumar: WordTokenizers.jl: Basic tools for tokenizing natural language in Julia (2020) not zbMATH
  3. Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano: Sentiment Analysis for Education with R: packages, methods and practical applications (2020) arXiv
  4. Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning: Stanza: A Python Natural Language Processing Toolkit for Many Human Languages (2020) arXiv
  5. Raeid Saqur, Ameet Deshpande: CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes (2020) arXiv
  6. Samantha C Pendleton; Georgios V Gkoutos: Jabberwocky: an ontology-aware toolkit for manipulating text (2020) not zbMATH
  7. Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jiansha Sun: TopicModel4J: A Java Package for Topic Models (2020) arXiv
  8. Ali, Syed Muhammad Fawad; Mey, Johannes; Thiele, Maik: Parallelizing user-defined functions in the ETL workflow using orchestration style sheets (2019)
  9. Mandal, Sourav; Naskar, Sudip Kumar: Solving arithmetic mathematical word problems: a review and recent advancements (2019)
  10. Rodosthenous, Christos T.; Michael, Loizos: Web-STAR: A visual web-based IDE for a story comprehension system (2019)
  11. Al-Saleh, Asma; El Bachir Menai, Mohamed: Solving multi-document summarization as an orienteering problem (2018)
  12. Dragoni, Mauro; Petrucci, Giulio: A fuzzy-based strategy for multi-domain sentiment analysis (2018)
  13. Gudivada, Venkat N.; Arbabifard, Kamyar: Open-source libraries, application frameworks, and workflow systems for NLP (2018)
  14. Schwitter, Rolf: Learning effect axioms via probabilistic logic programming (2018)
  15. Zheng, Jianming; Guo, Yupu; Feng, Chong; Chen, Honghui: A hierarchical neural-network-based document representation approach for text classification (2018)
  16. Taylor B. Arnold: A Tidy Data Model for Natural Language Processing using cleanNLP (2017) arXiv
  17. Youssef, Abdou: Part-of-math tagging and applications (2017)
  18. N. Astrakhantsev: ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala (2016) arXiv