Elamur Research⌕
☰
home / venues / Computational Linguistics / 2019

Computational Linguistics 2019 — papers

The works of Computational Linguistics published in 2019 that our library holds (publisher: The MIT Press): 3 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

All works of the year (23)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. Argument Mining: A SurveyJohn Lawrence, Chris Reedour summary
  2. Learning an Executable Neural Semantic Parser ↗Jianpeng Cheng, Siva Reddy, Vijay Saraswat et al.
  3. Neural Models of Text Normalization for Speech Applications ↗Hao Zhang, Richard Sproat, Axel H. Ng et al.
  4. Ordered Tree Decomposition for HRG Rule Extraction ↗Daniel Gildea, Giorgio Satta, Xiaochang Peng
  5. Parsing Chinese Sentences with Grammatical Relations ↗Weiwei Sun, Yufei Chen, Xiaojun Wan et al.
  6. Unsupervised Compositionality Prediction of Nominal Compounds ↗Silvio Cordeiro, Aline Villavicencio, Marco Idiart et al.
  7. What Do Language Representations Really Represent? ↗Johannes Bjerva, Robert Östling, Maria Han Veiga et al.

 Works with our summary in our library (3)

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

  1. Argument Mining: A SurveyComputational LinguisticsJohn Lawrence, Chris Reed2019 · 601 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Machine translation (1)Evaluation & benchmarks (1)

 Fields

Arts and Humanities (3)Computer Science (3)

 Top authors

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

 Top institutions

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

works and citations from OpenAlex and our library.

↑ back to top

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