Will Monroe

3.9k citations
15 papers · 1.4k · 2 hit papers · h-index 8

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • AI in Service Interactions
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Multimodal Machine Learning Applications
    • Generative Adversarial Networks and Image Synthesis

Papers in

Will Monroe

14 papers receiving 1.3k citations

Will Monroe's Hit Papers

Adversarial Learning for Neural Dialogue Generation 2017 · 526 citations
5260+3+6Years since publication200400600

Peers

Will Monroe
Comparison fields: 5 of 99
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 442
  • Signal Processing 59
  • Health Informatics 5
  • Information Systems 76
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Will Monroe

Since Specialization
Citations

This map shows the geographic impact of Will Monroe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Will Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Monroe more than expected).

Fields of papers citing papers by Will Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Monroe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Will Monroe. The network helps show where Will Monroe may publish in the future.

Co-authors

The 25 scholars most cited alongside Will Monroe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Monroe Line = papers co-authored together Will Monroe links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Deep Reinforcement Learning for Dialogue Generation
Hit paper breakdown →
2016679
2
Adversarial Learning for Neural Dialogue Generation
Hit paper breakdown →
2017526
3 201456
4 201755
5 201540
6 201518
7 202016
8
History Of The Pestalozzian Movement In The United States
20069
9
Comenius and the beginnings of educational reform
20075
10 19694
11
Understanding the Rational Speech Act model.
20181
12
The Educational Labors of Henry Barnard: A Study in the History of American Pedagogy
20101
13
History of the Pestalozzian Movement in the United States with Nine Portraits and a Bibliography
20091
14 20151
15 20200

About Will Monroe

Will Monroe is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Communication, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Speech and dialogue systems (2 papers), Social Capital and Networks (2 papers), Text Readability and Simplification (2 papers), Complex Network Analysis Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (442 citations), Signal Processing (59 citations), Health Informatics (5 citations) and Information Systems (76 citations). Will Monroe has collaborated with scholars based in United States. Frequent co-authors include Alan Ritter, Jiwei Li, Dan Jurafsky, Michel Galley, Jianfeng Gao, Tianlin Shi, Sébastien Jean, Christopher D. Manning, Christopher Potts and Spence Green. Their work appears in journals such as Transactions of the Association for Computational Linguistics, British Journal of Educational Studies, American Sociological Review, Cognitive Science and Medical Entomology and Zoology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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