---
title: "National Academies of Sciences, Engineering, and Medicine"
description: "National Academies of Sciences, Engineering, and Medicine (Washington, United States): 10 works on the Elamur Research site, 5 people with a page, 2,707…"
canonical: "https://research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [government](https://md.research.elamur.ai/free/en/government/) / National Academies of Sciences, Engineering, and Medicine

# National Academies of Sciences, Engineering, and Medicine

Government body · NASEM [Washington](https://md.research.elamur.ai/free/en/agglomerations/washington/), [United States](https://md.research.elamur.ai/free/en/countries/united-states/)in the agglomeration of [Washington D.C.](https://md.research.elamur.ai/free/en/agglomerations/washington/)

- [Website](https://www.nationalacademies.org/)
- [ROR](https://ror.org/02eq2w707)
- [OpenAlex](https://openalex.org/I197604219)
- [Wikidata](https://www.wikidata.org/wiki/Q3233780)

[**10** works in our library](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/#works) · [**21** people with a page](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/#authors) · [**2,707** citations of these works](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/#works) · [**1,012** citations in our library](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/#works)

## People (21)

Authors with a page here who worked or studied at National Academies of Sciences, Engineering, and Medicine: first those whose cited work was done most here; beside each, their citations.

### Core (5)

Confirmed by their records, or by their bylines here with a fair part of their work.

1. [**Saif Mohammad**2013–2020 on 25 papers*17 papers here · 11,307 citations*](https://md.research.elamur.ai/free/en/authors/saif-mohammad/)
2. [**Svetlana Kiritchenko**2008–2021 on 15 papers*7 papers here · 7,596 citations*](https://md.research.elamur.ai/free/en/authors/svetlana-kiritchenko/)
3. [**Xiaodan Zhu**2008–2016 on 5 papers*4 papers here · 3,710 citations*](https://md.research.elamur.ai/free/en/authors/xiaodan-zhu/)
4. [**Boxing Chen**2013–2014 on 4 papers*3 papers here · 987 citations*](https://md.research.elamur.ai/free/en/authors/boxing-chen/)
5. [**Cyril Goutte**2012–2020 on 13 papers*2 papers here · 691 citations*](https://md.research.elamur.ai/free/en/authors/cyril-goutte/)

**Also published with this affiliation (16)**

Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.

6. [**George Foster**2010–2016 on 8 papers*11 papers here · 5,519 citations*](https://md.research.elamur.ai/free/en/authors/george-foster/)
7. [**Marine Carpuat**2011–2014 on 9 papers*9 papers here · 2,290 citations*](https://md.research.elamur.ai/free/en/authors/marine-carpuat/)
8. [**Pierre Isabelle**2010–2017 on 2 papers*5 papers here · 1,261 citations*](https://md.research.elamur.ai/free/en/authors/pierre-isabelle/)
9. [**Patrick Littell**2020 on 4 papers*5 papers here · 1,118 citations*](https://md.research.elamur.ai/free/en/authors/patrick-littell/)
10. [**Felice Dell'Orletta**2010–2020 on 9 papers*7 papers here · 661 citations*](https://md.research.elamur.ai/free/en/authors/felice-dell-orletta/)
11. [**Giulia Venturi**2008–2020 on 7 papers*6 papers here · 395 citations*](https://md.research.elamur.ai/free/en/authors/giulia-venturi/)
12. [**Simonetta Montemagni**2008–2020 on 10 papers*5 papers here · 398 citations*](https://md.research.elamur.ai/free/en/authors/simonetta-montemagni/)
13. [**Peter Turney**1995–2013 on 2 papers*6 papers here · 5,668 citations*](https://md.research.elamur.ai/free/en/authors/peter-turney/)
14. [**Roland Kuhn**2010–2020 on 8 papers*3 papers here · 1,578 citations*](https://md.research.elamur.ai/free/en/authors/roland-kuhn/)
15. [**Tommaso Caselli**2008–2010 on 2 papers*7 papers here · 1,082 citations*](https://md.research.elamur.ai/free/en/authors/tommaso-caselli/)
16. [**Monica Monachini**2008–2020 on 12 papers*4 papers here · 559 citations*](https://md.research.elamur.ai/free/en/authors/monica-monachini/)
17. [**Claudia Soria**2008–2018 on 7 papers*3 papers here · 482 citations*](https://md.research.elamur.ai/free/en/authors/claudia-soria/)
18. [**Nicoletta Calzolari**2008–2018 on 11 papers*2 papers here · 473 citations*](https://md.research.elamur.ai/free/en/authors/nicoletta-calzolari/)
19. [**Francesca Frontini**2012 on 2 papers*2 papers here · 11 citations*](https://md.research.elamur.ai/free/en/authors/francesca-frontini/)
20. [**Valeria Quochi**2010–2012 on 3 papers*2 papers here · 6 citations*](https://md.research.elamur.ai/free/en/authors/valeria-quochi/)
21. [**Emiliano Giovannetti**2008–2014 on 3 papers*2 papers here · 1 citation*](https://md.research.elamur.ai/free/en/authors/emiliano-giovannetti/)

## Works in our library (10)

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

1. [**NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets**Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu*2013 · 660 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2013-nrc-canada-building-state-art/)
2. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
3. [**WASSA-2017 Shared Task on Emotion Intensity**Saif Mohammad, Felipe Bravo-Marquez*2017 · 368 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/)
4. [**Emotion Intensities in Tweets**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/)
5. [**Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation**Svetlana Kiritchenko, Saif Mohammad*2017 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/)
6. [**A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU**Boxing Chen, Colin Cherry*2014 · 281 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-systematic-comparison-smoothing-techniques-sentence/)
7. [**A Challenge Set Approach to Evaluating Machine Translation**Pierre Isabelle, Colin Cherry, George Foster*2017 · 269 citations*](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)
8. [**Word Affect Intensities**Saif Mohammad*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/)
9. [**Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system**Junyi Jessy Li, Marine Carpuat, Ani Nenkova*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-cross-lingual-discourse-relation-analysis/)
10. [**Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order**Chiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, et al.*2018 · 14 citations*](https://md.research.elamur.ai/free/en/papers/alzetta-2018-universal-dependencies-quantitative-typological-trends/)

## Works by year

### 2020s

[**2020** 1 work](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)

### 2010s

[**2018** 2 works](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/year/2018/) · [**2017** 4 works](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/year/2017/) · [**2014** 2 works](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/year/2014/) · [**2013** 1 work](https://md.research.elamur.ai/free/en/papers/mohammad-2013-nrc-canada-building-state-art/)

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

💡 Concepts 1[Corpus linguistics · 1 work](https://md.research.elamur.ai/free/en/concepts/corpus-linguistics/)

📚 Shelves 9[Computer Science · 10 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 10 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Psychology · 5 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 5 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Social Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/)

🧭 Topics 6[Sentiment & emotion · 5 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks · 3 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 2 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Universal Dependencies · 1 work](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Collaborates with

Institutions on the bylines of the same works here, the most works shared first.

1. **[National Research Council Canada](https://md.research.elamur.ai/free/en/government/national-research-council-canada/)***7 works shared*
2. **[University of Waikato](https://md.research.elamur.ai/free/en/universities/university-of-waikato/)***2 works shared*
3. **[Google](https://md.research.elamur.ai/free/en/companies/google/)***1 work shared*
4. **[Microsoft](https://md.research.elamur.ai/free/en/companies/microsoft/)***1 work shared*
5. **[University of Pennsylvania](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/)***1 work shared*
6. **[University of Edinburgh](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/)***1 work shared*
7. **[Johns Hopkins University](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/)***1 work shared*
8. **[University of Amsterdam](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/)***1 work shared*
9. **[Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/)***1 work shared*
10. **[Saarland University](https://md.research.elamur.ai/free/en/universities/saarland-university/)***1 work shared*
11. **[Hong Kong University of Science and Technology](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/)***1 work shared*
12. **[University of Sheffield](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/)***1 work shared*

## Parent and units

**Units** National Academies Press National Academy of Engineering National Academy of Medicine National Academy of Sciences

From the Research Organization Registry (ROR); those with a page here are linked.

Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at National Academies of Sciences, Engineering, and Medicine; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.

Updated 23 October 2026