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Workshop on Representation Learning for NLP 2019 — accepted papers

Workshop on Representation Learning for NLP 2019 is the 2019 edition of the Workshop on Representation Learning for NLP (publisher: Association for Computational Linguistics). Our library holds 1 paper of its papers, listed below with the most cited first; each has a page with our summary, its key points and its references.

 1work in our library 522citations of these works

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. To Tune or Not to Tune? Adapting Pretrained Representations to Diverse TasksWorkshop on Representation Learning for NLPMatthew E. Peters, Sebastian Ruder, Noah A. Smith2019 · 522 citations

 Fields

Arts and Humanities (1)Computer Science (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🧑‍🔬Matthew Peters1 work here · 522 citations🧑‍🔬Noah A. Smith1 work here · 522 citations🧑‍🔬Sebastian Ruder1 work here · 522 citations

 Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Harvard UniversityCambridge · United States1 work here🎓Ollscoil na Gaillimhe – University of GalwayGalway · Ireland1 work here🎓University of WashingtonSeattle · United States1 work here🔬Allen Institute for Artificial IntelligenceSeattle · United States1 work here

works and citations from OpenAlex and our library.

This page in Markdown → https://md.research.elamur.ai/free/en/venues/repl4nlp/2019/