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Institution · Stroudsburg · United States

Association for Computational Linguistics

Research works
119
▼ 87% vs 2013–17
Citations
1.7k
14.4 per fractional work
Top-10% rate
8.0%
record average 16.5%
Open access
51%
world 28%

Not ranked overall: Association for Computational Linguistics is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Biochemistry, Genetics and Molecular Biology: 0.29× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 0.71× its world share, 0 worksNeuroscienceComputer Science: 6.93× its world share, 12 worksComputer ScienceEngineering: 0.21× its world share, 1 worksEngineeringHealth Professions: 1.78× its world share, 1 worksHealth ProfessionsArts and Humanities: 3.16× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.24× its world share, 0 worksBusiness, Management…Decision Sciences: 1.62× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 2.20× its world share, 1 worksEconomics, Econometr…Psychology: 3.27× its world share, 2 worksPsychologySocial Sciences: 0.74× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.9×. Every wedge is a field page.

Which keywords describe research at Association for Computational Linguistics?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Neural Networks, Text Classification, Machine Translation, Machine Learning and Topic Modeling.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 24 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 24 words, with their numbers
  1. Corpus Linguistics6▲ 121×2 topics
  2. Neural Machine Translation5▲ 250×1 topic
  3. Statistical Machine Translation5▲ 250×1 topic
  4. Neural Networks3▲ 9.7×3 topics
  5. Machine Learning3▲ 3.7×6 topics
  6. Machine Translation2▲ 58×2 topics
  7. Text Classification2▲ 63×2 topics
  8. Natural Language Processing2▲ 35×4 topics
  9. Topic Modeling2▲ 57×2 topics
  10. Deep Learning2▲ 2.4×4 topics
  11. Semantic Similarity2▲ 63×1 topic
  12. Word Representation2▲ 63×1 topic
  13. Big Data1▲ 6.0×3 topics
  14. Data Integration1▲ 30×2 topics
  15. Knowledge Representation1▲ 56×3 topics
  16. Semantic Web1▲ 53×2 topics
  17. Backpropagation Learning1▲ 58×1 topic
  18. Box Office1▲ 179×1 topic
  19. Creativity1▲ 78×1 topic
  20. Film Industry1▲ 179×1 topic
  21. Healthcare Policy1▲ 49×1 topic
  22. Innovation1▲ 4.5×1 topic
  23. Public Health1▲ 3.2×1 topic
  24. Self-Organizing Maps1▲ 58×1 topic

Which research topics does Association for Computational Linguistics publish most on?

By volume in 2022–2025: Natural Language Processing Techniques, Topic Modeling, Creativity in Education and Neuroscience and Cinema and Media Studies.

  1. 1 Natural Language Processing Techniques Artificial Intelligence 5 works
  2. 2 Topic Modeling Artificial Intelligence 2 works
  3. 3 Creativity in Education and Neuroscience Experimental and Cognitive Psychology 1 works
  4. 4 Cinema and Media Studies Economics and Econometrics 1 works
  5. 5 Healthcare Systems and Practices General Health Professions 1 works
  6. 6 Neural Networks and Applications Artificial Intelligence 1 works
  7. 7 Semantic Web and Ontologies Artificial Intelligence 1 works
  8. 8 Artificial Intelligence in Law Political Science and International Relations 1 works
  9. 9 Text Readability and Simplification Artificial Intelligence 1 works
  10. 10 Wikis in Education and Collaboration Communication 0 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available50.8%not open49.2%

World: 28% of research is openly available.

with international co-authors24.2%domestic only75.8%

World: 19% is written across borders.

How has Association for Computational Linguistics's research output changed?

Output in 2018–2022 was 87% lower than in 2013–2017.

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.