---
title: "Israel — research institutions, scientists and papers"
description: "Israel: 19 institutions with papers in our library in 4 agglomerations, 117 people with a page, 307 works, 78,746 citations."
canonical: "https://research.elamur.ai/free/en/countries/israel/"
---
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# Israel

Country 19 institutions in 4 agglomerations · [all countries](https://md.research.elamur.ai/free/en/countries/)

[**19** institutions with a page](https://md.research.elamur.ai/free/en/countries/israel/#institutions) · [**4** agglomerations](https://md.research.elamur.ai/free/en/countries/israel/#agglomerations) · [**117** people with a page](https://md.research.elamur.ai/free/en/countries/israel/#authors) · [**307** works in our library](https://md.research.elamur.ai/free/en/countries/israel/#works) · [**78,746** citations of their works](https://md.research.elamur.ai/free/en/countries/israel/#works)

## About

### Profile

This entry gathers the research institutions in [Israel](https://md.research.elamur.ai/free/en/orgs/country/il/) whose scientists have contributed to the papers held on this site. An institution is included once its researchers have written at least two of the papers here. The list therefore reflects the works the library holds, not the whole of Israeli science, and an institution's place on it shows only its share of the cited research on this site.

The group is broad. It includes large universities, smaller colleges and institutes of technology, research institutes, and the Israeli branches of several technology companies. The order follows the cited work that scientists carried out while at each institution. For readers who want to compare Israel with other countries or with other kinds of organisation, the wider [directory of institutions](https://md.research.elamur.ai/free/en/orgs/) covers every kind the library tracks.

### The shape of the list

The most visible feature of the Israeli list is its mix of academic and corporate research. A company, [Meta (Israel)](https://md.research.elamur.ai/free/en/companies/meta-israel/), based in Tel Aviv, is listed first. It is followed by universities: [Bar-Ilan University](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) in Ramat Gan, [Tel Aviv University](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/), the [Technion – Israel Institute of Technology](https://md.research.elamur.ai/free/en/universities/technion-israel-institute-of-technology/) in Haifa, the [Hebrew University of Jerusalem](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/), and [Ben-Gurion University of the Negev](https://md.research.elamur.ai/free/en/universities/ben-gurion-university-of-the-negev/) in Beersheba. Further down, other companies and research institutes appear among the universities rather than in a separate block.

The order is not simply a count of papers or a total of citations. Bar-Ilan University has the largest body of works among the Israeli institutions here, yet it comes second, after Meta (Israel), which has far fewer works but a heavier weight of cited research. The Hebrew University of Jerusalem has more works and more citations than the Technion, but the Technion is placed above it. The [Weizmann Institute of Science](https://md.research.elamur.ai/free/en/universities/weizmann-institute-of-science/) has a small set of works with a sizeable citation total, and it sits in the middle of the list. These differences show that the ranking credits the cited work that scientists did while at a given institution. A paper written jointly by people from several places, or by someone who later moved, does not count fully for each institution it touches.

### Universities

Most institutions on the list are universities, and they range widely in size on this site. Bar-Ilan University in Ramat Gan contributes the most works, and its citation total is second only to Meta (Israel). Tel Aviv University and the Hebrew University of Jerusalem each have a substantial body of works with a large citation total. The Technion in Haifa has fewer works than either of them but ranks above the Hebrew University. Ben-Gurion University of the Negev in Beersheba has a body of works comparable in size to Meta (Israel)'s, but a much smaller citation total.

A second group of universities has fewer works in our library but still a clear presence. The [Open University of Israel](https://md.research.elamur.ai/free/en/universities/open-university-of-israel/), based in Raanana, has a modest set of works with a relatively strong citation total. The Weizmann Institute of Science in Rehovot is classed here as a university. It has even fewer works, but they are well cited, and its citation total is above that of several institutions listed ahead of it. The [University of Haifa](https://md.research.elamur.ai/free/en/universities/university-of-haifa/) has more works than the Technion on this site but a much lower citation total, which places it lower in the order. [Ariel University](https://md.research.elamur.ai/free/en/universities/ariel-university/), in Ariel, contributes a small set of works with a moderate citation total.

The smaller institutions come at the end of the list. These include the [Jerusalem College of Technology](https://md.research.elamur.ai/free/en/universities/jerusalem-college-of-technology/) and [Reichman University](https://md.research.elamur.ai/free/en/universities/reichman-university/) in Herzliya. Also here are the [Sami Shamoon College of Engineering](https://md.research.elamur.ai/free/en/universities/sami-shamoon-college-of-engineering/) in Beersheba and the [College of Management Academic Studies](https://md.research.elamur.ai/free/en/universities/college-of-management-academic-studies/) in Rishon LeZiyyon. The [Holon Institute of Technology](https://md.research.elamur.ai/free/en/universities/holon-institute-of-technology/) in Holon closes the list. The Jerusalem College of Technology has more works than some institutions placed above it, but they are cited less often. Reichman University, Sami Shamoon College of Engineering, the College of Management Academic Studies and the Holon Institute of Technology each have only a few works and a light citation record so far. They are on the list because their researchers passed the threshold of two papers.

### Companies

Israel's list is unusual in how prominent industrial research is within it. Meta (Israel) in Tel Aviv leads the whole list. Among the Israeli institutions here, it has the largest citation total from a fairly small set of works. That pattern points to a few heavily cited papers rather than a broad output.

[Apple (Israel)](https://md.research.elamur.ai/free/en/companies/apple-israel/), based in Herzliya, shows a similar pattern on a smaller scale. A handful of works with a notable citation total places it seventh, ahead of several universities with many more papers. [Intel (Israel)](https://md.research.elamur.ai/free/en/companies/intel-israel/), listed with Kiryat Gat as its location, has more works in our library than Apple (Israel) but a lower citation total. It sits in the lower half of the list.

Across these companies, the weight of cited research does not depend on volume. One institution can rank high with few works, while another with more papers ranks lower. The entries do not say which subjects these companies work on. Readers who want that detail should follow each company's own entry.

### Research institutes

Two bodies on the list are classed as research institutes rather than universities or companies. [IBM Research - Haifa](https://md.research.elamur.ai/free/en/labs/ibm-research-haifa/) is an industrial research laboratory in Haifa. It has only the minimum number of works needed to appear, but they carry a considerable citation total, which places it tenth. The [Israel Institute for Advanced Studies](https://md.research.elamur.ai/free/en/labs/israel-institute-for-advanced-studies/) in Jerusalem also has a small set of works, with a more modest citation total.

Both cases show how a few papers can give an institution a place on the list when they are well cited. The difference between the two also reflects the kinds of research hosted on this site. The industrial laboratory in Haifa has drawn more citations than the institute of advanced study in Jerusalem.

### Geography

The institutions cluster in a few regions. The coastal area around Tel Aviv is the densest. Meta (Israel) and Tel Aviv University are in Tel Aviv itself. Bar-Ilan University is in Ramat Gan, the Holon Institute of Technology in Holon, and the College of Management Academic Studies in Rishon LeZiyyon. A little to the north, Herzliya hosts both Apple (Israel) and Reichman University, and the Open University of Israel is in Raanana. Rehovot, home to the Weizmann Institute of Science, lies to the south of this belt.

Haifa, in the north, forms a second centre. It is home to the Technion, the University of Haifa and IBM Research - Haifa, a mix of a technological university, a general university and an industrial laboratory.

Jerusalem is a third centre. The Hebrew University of Jerusalem, the Israel Institute for Advanced Studies and the Jerusalem College of Technology all appear on the list.

In the south, Beersheba hosts Ben-Gurion University of the Negev and the Sami Shamoon College of Engineering. Kiryat Gat is the location given for Intel (Israel). Ariel University completes the picture of where Israeli research on this site is done.

### Patterns across the list

Several patterns emerge from reading the list as a whole. First, the total weight of cited research is concentrated near the top. The leading company and the largest universities account for most of it, while the smaller colleges at the end contribute only a little so far.

Second, the number of works and the weight of citations often diverge. Bar-Ilan University and Ben-Gurion University of the Negev both have broad sets of papers in our library. Meta (Israel), Apple (Israel), IBM Research - Haifa and the Weizmann Institute of Science reach their positions through fewer, more heavily cited papers.

Third, industrial and academic research are interleaved. Companies appear near the top, in the middle and in the lower half, mixed among the universities. On this site, research from Israeli company branches is as much a part of the national picture as university research.

### Scope and limits

The list describes only the papers held in this library and the institutions their authors belonged to. It does not cover all research done in Israel. It also does not show which fields each institution works in, who its scientists are, or which papers are its most cited. That detail lies on the entries for the individual universities, companies and institutes linked above.

Readers who want to know what a particular institution studies should follow its link. The Israel-level view is best read as a map of where cited research on this site has come from, not as a ranking of the institutions themselves. As the library adds papers, new institutions may pass the two-paper threshold and the order may change.

## Where

## Agglomerations (4)

1. [**Tel Aviv**10 institutions*62,083 citations*](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/)
2. [**Jerusalem**3 institutions*8,672 citations*](https://md.research.elamur.ai/free/en/agglomerations/jerusalem/)
3. [**Haifa**2 institutions*4,271 citations*](https://md.research.elamur.ai/free/en/agglomerations/haifa/)
4. [**Beer Sheva**2 institutions*2,758 citations*](https://md.research.elamur.ai/free/en/agglomerations/beersheba/)

## Institutions (19)

### 🎓 Universities (14)

**[Bar-Ilan University](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/)**University · [Ramat Gan](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/), Israel*102 works · 17,587 citations*

**[Hebrew University of Jerusalem](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/)**University · [Jerusalem](https://md.research.elamur.ai/free/en/agglomerations/jerusalem/), Israel*42 works · 8,354 citations*

**[Tel Aviv University](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/)**University · [Tel Aviv](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/), Israel*54 works · 7,966 citations*

**[Technion – Israel Institute of Technology](https://md.research.elamur.ai/free/en/universities/technion-israel-institute-of-technology/)**University · [Haifa](https://md.research.elamur.ai/free/en/agglomerations/haifa/), Israel*20 works · 3,844 citations*

**[Ben-Gurion University of the Negev](https://md.research.elamur.ai/free/en/universities/ben-gurion-university-of-the-negev/)**University · [Beersheba](https://md.research.elamur.ai/free/en/agglomerations/beersheba/), Israel*34 works · 2,748 citations*

### 🔬 Labs and research institutes (2)

**[IBM Research - Haifa](https://md.research.elamur.ai/free/en/labs/ibm-research-haifa/)**Research institute · [Haifa](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/), Israel*2 works · 602 citations*

**[Israel Institute for Advanced Studies](https://md.research.elamur.ai/free/en/labs/israel-institute-for-advanced-studies/)**Research institute · [Jerusalem](https://md.research.elamur.ai/free/en/agglomerations/jerusalem/), Israel*2 works · 173 citations*

### 🏢 Companies (3)

**[Meta (Israel)](https://md.research.elamur.ai/free/en/companies/meta-israel/)**Company · [Tel Aviv](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/), Israel*32 works · 30,795 citations*

**[Apple (Israel)](https://md.research.elamur.ai/free/en/companies/apple-israel/)**Company · [Herzliya](https://md.research.elamur.ai/free/en/agglomerations/tel-aviv/), Israel*3 works · 789 citations*

**[Intel (Israel)](https://md.research.elamur.ai/free/en/companies/intel-israel/)**Company · Kiryat Gat, Israel*7 works · 443 citations*

[See all 19 institutions →](https://md.research.elamur.ai/free/en/countries/israel/institutions/)

## People (117)

Authors with a page confirmed at its institutions, the most cited first.

[🧑‍🔬**Omer Levy** Tel Aviv University 18 papers here · 35,123 citations](https://md.research.elamur.ai/free/en/authors/omer-levy/) · [🧑‍🔬**Michael Auli** Meta (Israel) 17 papers here · 18,963 citations](https://md.research.elamur.ai/free/en/authors/michael-auli/) · [🧑‍🔬**Naman Goyal** Meta (Israel) 12 papers here · 18,655 citations](https://md.research.elamur.ai/free/en/authors/naman-goyal/) · [🧑‍🔬**Yoav Goldberg** Bar-Ilan University 48 papers here · 17,415 citations](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) · [🧑‍🔬**Armand Joulin** Meta (Israel) 14 papers here · 15,906 citations](https://md.research.elamur.ai/free/en/authors/armand-joulin/) · [🧑‍🔬**Marjan Ghazvininejad** Meta (Israel) 6 papers here · 14,900 citations](https://md.research.elamur.ai/free/en/authors/marjan-ghazvininejad/) · [🧑‍🔬**Sergey Edunov** Meta (Israel) 8 papers here · 13,754 citations](https://md.research.elamur.ai/free/en/authors/sergey-edunov/) · [🧑‍🔬**Piotr Bojanowski** Meta (Israel) 9 papers here · 12,219 citations](https://md.research.elamur.ai/free/en/authors/piotr-bojanowski/) · [🧑‍🔬**Patrick Lewis** Meta (Israel) 12 papers here · 11,875 citations](https://md.research.elamur.ai/free/en/authors/patrick-lewis/) · [🧑‍🔬**Alexis Conneau** Meta (Israel) 12 papers here · 11,518 citations](https://md.research.elamur.ai/free/en/authors/alexis-conneau/) · [🧑‍🔬**Myle Ott** Meta (Israel) 13 papers here · 10,377 citations](https://md.research.elamur.ai/free/en/authors/myle-ott/) · [🧑‍🔬**Douwe Kiela** Meta (Israel) 17 papers here · 9,725 citations](https://md.research.elamur.ai/free/en/authors/douwe-kiela/)

[See all 117 people →](https://md.research.elamur.ai/free/en/countries/israel/people/)

## Works in our library (307)

Works of its institutions, the most cited first.

1. [**BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension**Mike Lewis, Yinhan Liu, Naman Goyal, et al.*2020 · 12,752 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-bart-denoising-sequence-sequence-pre/)
2. [**Dense Passage Retrieval for Open-Domain Question Answering**Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.*2020 · 5,370 citations*](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/)
3. [**Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network**Kristina Toutanova, Dan Klein, Christopher D. Manning, et al.*2003 · 3,559 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2003-feature-rich-part-speech-tagging/)
4. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2016 · 1,739 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
5. [**SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,622 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/)
6. [**wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,355 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/)
7. [**Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,239 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)
8. [**Distributional Clustering of English Words**Fernando Pereira, Naftali Tishby, Lillian Lee*1993 · 1,160 citations*](https://md.research.elamur.ai/free/en/papers/pereira-1993-distributional-clustering-english-words/)
9. [**Using Lexical Chains for Text Summarization**Regina Barzilay, Michael Elhadad*1997 · 989 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-1997-lexical-chains-text-summarization/)
10. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 903 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
11. [**Using the Output Embedding to Improve Language Models**Ofir Press, Lior Wolf*2017 · 891 citations*](https://md.research.elamur.ai/free/en/papers/press-2017-output-embedding-improve-language-models/)
12. [**TaPas: Weakly Supervised Table Parsing via Pre-training**Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.*2020 · 844 citations*](https://md.research.elamur.ai/free/en/papers/herzig-2020-tapas-weakly-supervised-table-parsing/)
13. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 790 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
14. [**Supervised Learning of Universal Sentence Representations from Natural Language Inference Data**Alexis Conneau, Douwe Kiela, Holger Schwenk, et al.*2017 · 777 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/)
15. [**Enhanced Sentiment Learning Using Twitter Hashtags and Smileys**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 776 citations*](https://md.research.elamur.ai/free/en/papers/davidov-2010-enhanced-sentiment-learning-twitter-hashtags/)
16. [**Universal Dependency Annotation for Multilingual Parsing**Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, et al.*2013 · 749 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2013-universal-dependency-annotation-multilingual-parsing/)
17. [**Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?**Alon Jacovi, Yoav Goldberg*2020 · 747 citations*](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/)
18. [**SentEval: An Evaluation Toolkit for Universal Sentence Representations**Alexis Conneau, Douwe Kiela*2018 · 739 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2018-senteval-evaluation-toolkit-universal-sentence/)
19. [**Learning To Retrieve Prompts for In-Context Learning**Ohad Rubin, Jonathan Herzig, Jonathan Berant*2021 · 717 citations*](https://md.research.elamur.ai/free/en/papers/rubin-2021-learning-retrieve-prompts-context-learning/)
20. [**Neural Text Generation from Structured Data with Application to the Biography Domain**Remi Lebret, David Grangier, Michael Auli*2016 · 696 citations*](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/)
21. [**Globally Normalized Transition-Based Neural Networks**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 676 citations*](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/)
22. [**Mask-Predict: Parallel Decoding of Conditional Masked Language Models**Marjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.*2019 · 671 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/)
23. [**context2vec: Learning Generic Context Embedding with Bidirectional LSTM**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 666 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)
24. [**Unsupervised Machine Translation Using Monolingual Corpora Only**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 650 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/)
25. [**Learning Word Vectors for 157 Languages**Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.*2018 · 640 citations*](https://md.research.elamur.ai/free/en/papers/grave-2018-learning-word-vectors-157-languages/)

[See all 307 works →](https://md.research.elamur.ai/free/en/countries/israel/works/)

## Topics

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

[Hebrew & Aramaic (131)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semitic languages (129)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Language models & pretraining (28)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Morphology (27)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Machine translation (16)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Coreference resolution (14)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Sentiment & emotion (14)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Multilingual & cross-lingual NLP (14)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks (13)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering (12)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning (11)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Idioms & multiword expressions (11)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Universal Dependencies (10)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Dependency parsing (7)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Dialogue systems (7)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Syntax & grammar formalisms (7)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Semantic role labeling (6)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Summarization (6)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Speech & spoken language (6)](https://md.research.elamur.ai/free/en/topics/speech/) · [Discourse analysis (4)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Part-of-speech tagging (4)](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Text generation (4)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Information retrieval & search (4)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language (4)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Word sense disambiguation (3)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Treebanks (3)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Low-resource languages (3)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Semantic parsing & meaning representation (3)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Psycholinguistics & language acquisition (3)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Interpretability (3)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Bias, fairness & safety (3)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Akkadian and cuneiform NLP (2)](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) · [Legal AI (2)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Tokenization & segmentation (2)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Grammatical error correction & learner language (2)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Historical linguistics & language change (2)](https://md.research.elamur.ai/free/en/topics/language-change/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Lexical semantics & word embeddings (1)](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Linguistics & languages (206)](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [Natural language processing (150)](https://md.research.elamur.ai/free/en/shelves/nlp/) · [Machine translation (17)](https://md.research.elamur.ai/free/en/shelves/machine-translation/) · [AI & machine learning (9)](https://md.research.elamur.ai/free/en/shelves/ai/) · [History & humanities (6)](https://md.research.elamur.ai/free/en/shelves/history/) · [Computing & GPUs (3)](https://md.research.elamur.ai/free/en/shelves/computing/) · [Law (3)](https://md.research.elamur.ai/free/en/shelves/law/) · [Mathematics & statistics (2)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Life sciences & medicine (1)](https://md.research.elamur.ai/free/en/shelves/life-sciences/) · [Education (1)](https://md.research.elamur.ai/free/en/shelves/education/) · [Society & ethics (1)](https://md.research.elamur.ai/free/en/shelves/society/)

## Works by year

199,020,102,020

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