Source: AINLPer micro-channel public number
editor: ShuYini
proofreading: ShuYini
Time: 2020-2-12
introduction
The rapid development of artificial intelligence, natural language processing in recent years has become a hot research, based on citations of articles published in the past 10 years, these conferences and journals generate a list of highly cited researchers (based on Goolge Scholar). For reference study.
1, Rico Sennrich [Edinburgh, University of Zurich]
Profile: https://www.cl.uzh.ch/de/people/team/compling/sennrich.html
** academic achievement: ** h-index: 23 Number of papers: 92 Number of references: 3616
Personal introduction:
Rico Sennrich is a lecturer at the University of Edinburgh (Assistant Professor), machine learning research, especially in machine translation and natural language processing. He is a member of the NLP machine translation team and the Edinburgh team, ** the recent concern is the high-quality machine translation, including those based on grammar and nervous SMT machine translation. ** Rico Sennrich some results related to it can be found in the home page. While also CoNTra project (part of the University of Zurich) in.
2, Chin-Yew Lin [Microsoft Research Asia]
Profile: https://www.microsoft.com/en-us/research/people/cyl/
** academic achievement: H-index: 54 Number of papers: 209 Number of references: 18010
Personal introduction:
Chin-Lin Yew Microsoft research manager of the Asian Institute of knowledge computing group. The main direction of interest is the knowledge of computing, natural language processing, semantic search, text generation, questions answered and automatic summarization. Currently, Chin-Yew Lin in the main research direction is: (1) automatically generates text, models and algorithms developed acquire knowledge automatically read data from the mass from the structured data; (2) calculated based on semantic developed for semantic computing framework reality applications and services, including the automatic acquisition of semantic knowledge, machine-readable semantic indexing, automatic understand user intent and problem solving. ** The goal is to support rich, context-aware interactive client, and by the automatic extraction and data to support management of cloud computing applications.
3、David Mcclosky【Google】
Profile: https://nlp.stanford.edu/~mcclosky/
academic achievement: H-index: 21 Number of papers: 34 Number of references: 6715
Personal introduction:
David McClosky now at Google NYC. Prior to that he was a research scientist at the IBM research. Prior to IBM, he was a postdoctoral fellow at Stanford NLP to work with Chris Manning and Dan Jurafsky. Even earlier, David Mcclosky is a doctoral student of Computer Science, Brown, working with Eugene Charney Senanayake and Mark Johnson. In 2007, Charles University in Prague UFAL the visiting students. His main statistical natural language processing, especially in semi-supervised and non-method (for example, self-training) supervised the area of adaptation, parsing, information extraction and morphological interest.
4, Ido Dagan [color] Liebayilan University
Profile: http://u.cs.biu.ac.il/~dagan/
** academic achievement: H-index: 60 Number of papers: 262 Number of references: 15433
Personal introduction:
Ido Dagan Israel's Bar-Ilan University computer Professor of the Department of Science, Bar-Ilan Natural language processing Lab founder members of the Association for Computational Linguistics. His main research interest is the application of semantic processing, mainly in text reasoning, semantic representation of natural, open rich text representation and integration of information and interactive text summary. ** Dagan and his colleagues established the text implies recognition paradigm.
5, Janyce Wiebe [University of Pittsburgh]
Profile: https://people.cs.pitt.edu/~wiebe/
academic achievement: H-index: 59 Number of papers: 168 Number of references: 22712
Introduction:
research Janyce Wiebe of artificial intelligence and natural language processing ( NLP). She and her students and colleagues in the Word of NLP processing, language has been studied with respect science, WSD and probability classification. The current study focused on, namely the identification and interpretation of the text express ideas and emotions "subjective analysis" to support the application of NLP, such as answering questions, information extraction, text classification and summary.
6, Grzegorz Kondrak [University of Alberta]
Profile: https://webdocs.cs.ualberta.ca/~kondrak/
** academic achievement: H-index: 32 Number of papers: 107 Number of references: 3178
Introduction:
research Grzegorz Kondrak is a natural language processing (NLP ), or, more broadly, computational linguistics. Wherein particular interest are: ** character stage processing: the letter - phoneme conversion, transliteration, syllabifying reread; identifying cognates - similar words in different languages; cognates in various fields of natural language processing applications, including drug name aligned reconstruction language, sentences and words in the bit conversion, the machine translation and the detection of confusing; calculated word resemblance degree (orthographic, phonological and semantic); bioinformatics natural language processing.
7, Jordan L. Boyd-Graber [Maryland]
Profile: http://users.umiacs.umd.edu/~jbg/
** academic achievement: ** h-index: 31 Number of papers: 122 Number of references: 5450
Introduction:
He's Department of Computer Science, University of Maryland (Lifetime ), Associate Professor, Institute for advanced computer, isschool Science Center and professor of language. Before an assistant professor of Computer Science, University of Colorado (2017 to get tenure). ** research focus is to use machine learning to become more and more interpretability, there can learn from and interact with humans. ** This helps users to filter decades of documentation; find when people lie, reorganization or change the topic of conversation; or in the game based on the natural language of human competition.
8, Kristina Toutanova Google [Seattle]
Profile: http://kristinatoutanova.com/
** academic achievement: ** h-index: 42 Number of papers: 111 Number of references: 11636
Personal introduction:
Kristina Toutanova is a research scientist in Seattle Google. She is the google natural language understanding of a team. Previously, Microsoft Research is a team of Stanford University and NLP members.
9, Philip Resnik [Maryland]
Profile: http://users.umiacs.umd.edu/~resnik/
** academic achievement: ** h-index: 52 Number of papers: 184 Number of references: 18516
Introduction:
research in computational linguistics Philip Resnik, modeling interested in the practical problems in the application of human language and process natural language processing technology. The overall research agenda for language technology is to find the right balance between data driven by statistical modeling and the use of language and knowledge of experts in the field, thereby increasing the level of language technologies , greater objective is to better understand the science human language itself. The current study focused on two aspects: the calculation of social science, computational linguistics, psychology and neurolinguistic.
10, Wang Ling [Carnegie Mellon University]
Profile: https://www.cs.cmu.edu/~lingwang/
** academic achievement: ** h-index: 20 Number of papers: 52 Number of references: 2744
Personal introduction:
Wang Ling is Carnegie Mellon University and Portugal doctoral School of advanced technology at Carnegie Mellon University. Currently, he works at the Institute of Language Technology at Carnegie Mellon University. Very interested in the application of natural language processing tasks in statistics and machine learning methods. At present work is mainly to solve the following problems: (1) micro-blog in machine translation, such as Twitter and Facebook. (2) based on neural network character of natural language processing and machine translation.
11, Razvan C. Bunescu [Ohio University]
Profile: https://www.ohio.edu/engineering/about/people/profiles.cfm?profile=bunescu
** academic achievement: ** h-index: 27 Number of papers: 80 Number of references: 6847
Introduction:
2007 in Raz Van Buneisiku (Razvan Bunescu) won the University of Texas at Austin (University of Texas at Austin) PhD in computer science, and published a paper on machine learning methods of information extraction . His main research interests are machine learning and computational linguistics, has recently focused on the application of biomedical informatics, software engineering and music analysis .
12, Wang Haifeng (Haifeng Wang) [Baidu]
Profile: http://ir.hit.edu.cn/~wanghaifeng/index.htm
** academic achievement: ** h-index: 29 Number of papers: 131 Number of references: 3218
Introduction:
Baidu vice president technical,
Chairman international Association of Computational Linguistics (ACL)
Department, Peking University, Department of information Engineering language
part-time Ph.D., Harbin Institute of technology
research interests are
machine translation, natural language processing, speech technology, information retrieval
Previous positions
Toshiba (China) Research and development Center deputy Minister of Research and director, Principal Investigator (2002.3-2010.1)
iSilk.com Hong Kong researcher (2000.8-2002.2)
Microsoft China Research Institute Research Associate (1999.3-2000.6)
13, Dragomir Radev [Yale University]
Profile: https://cpsc.yale.edu/people/dragomir-radev
** academic achievement: ** h-index: 60 Number of papers: 295 Number of references: 18065
Personal introduction:
Dragomir R. Radev of computer science at Yale University, Professor, dedicated to natural language processing and information retrieval. He previously served as Professor in the Department of Computer Science, University of Michigan and Columbia University computer science professor part-time. Radev (Radev) as members of the Advisory Committee Lawyaw. He is currently engaged in an open field questions and answers, as well as multi-document summary NLP work in the field of bioinformatics, social network analysis and political science applications and the like.
14, Ming-Wei Chang [Google]
Profile: https://ming-wei-chang.github.io/
** academic achievement: H-index: 25 Number of papers: 60 Number of references: 5968
Personal introduction:
Ming-Wei Chang's research interests are in deep learning machine learning and natural language understanding. Currently focused on to build a model to represent the natural language of large-scale use of structured / unstructured data. ** He has served as a researcher in machine learning and natural language processing group Microsoft's Redmond Research Institute team. And Dan Roth and together with the University of Illinois at Urbana-Champaign and a Ph.D.
15, Kenji Sagae [California University]
Profile: http://compling.ucdavis.edu/sagae/
** academic achievement: ** h-index: 34 Number of papers: 121 Number of references: 3539
Personal introduction:
Kenji Sagae University of California, Davis linguistics assistant professor, is co-director of computing linguistics laboratory. He is the co-founder of KITT.AI, after Baidu acquisition. Prior to October 2015, he has served as a research assistant professor in the Department of Computer Science, USC, and USC Institute of innovative technology research scientist and project leader. Professor CSCI 544 applications of natural language processing and natural language guide a structure composed of several students and a senior fellow at the research group composed of model calculations. Prior to joining USC, he was a member of the Laboratory of the University of Tokyo Tsujii. In Tsujii laboratory dedicated to distinguish between dependent and HPSG binding assays, and bioinformatics applications in parsing.
16, Joakim Nivre [Uppsala University in Sweden]
Profile: https://cl.lingfil.uu.se/~nivre/
** academic achievement: ** h-index: 56 Number of papers: 226 Number of references: 13615
Personal introduction:
Joakim Nivre is calculated Uppsala University Professor of linguistics. The research mainly involves parsing, how in a uniform manner to analyze different types of languages, as well as automatic analysis and calculation model of how to develop better in this framework in general depend on the project . He also engaged in teaching and major international projects related to language technology master.
17, Olivier Cappé 【CNRS】
Profile: https://www.di.ens.fr/~cappe/
** academic achievement: ** h-index: 42 Number of papers: 126 Number of references: 14329
Personal introduction:
Olivier Cappé is a senior fellow at the CNRS; before LIMSI work in the laboratory巴黎萨克莱University, now working in the DI ENS laboratory Varda team. His machine learning, all aspects of statistics and signal processing are interested. In the 1990s, he began to get involved in speech and audio processing. Around 2000, Bayesian methods, Markov Chain Monte Carlo methods and natural language processing of some applications to make a contribution. Recent studies mostly related to armed bandits or online learning model.
18, François Yvon 【CNRS】
Profile: https://perso.limsi.fr/yvon/mysite/mysite.php
** academic achievement: ** h-index: 29 Number of papers: 176 Number of references: 3399
Personal introduction:
François Yvon is the University of Paris-Sud Computer professor of science. As of July 2013, I was in charge LIMSI / CNRS's. Oral being treated group LIMSI / CNRS carried out research. The main contents include: Statistics (natural language processing, machine translation + Voice Recognition + + + language text mining modeling) + analogy NLP based learning.
19, Sharon Goldwater [University of Edinburgh]
Profile: https://homepages.inf.ed.ac.uk/sgwater/
academic achievement: H-index: 41 Number of papers: 147 Number of references: 6280
Introduction:
Sharon Goldwater (Sharon Goldwater) is a reader language, cognition, and the Institute of the University of Edinburgh School of information Science computing (similar to an American associate professor). In 2007, she was under the direction of Mark Johnson (Mark Johnson) obtained from Brown University (Brown University) PhD, and did postdoctoral fellow for two years at Stanford University (Stanford University), then moved to Edinburgh. Her unsupervised learning, computer modeling children's language acquisition research interests include natural language processing, and study computer language.
20, Jeff Bilmes [University of Washington]
Profile: https://people.ece.uw.edu/bilmes/p/pgs/index.html
** academic achievement: H-index: 64-Number of papers: 320 Number of references: 27053
Personal introduction:
Professor Bilmes University of Washington Linguistics and computer Science and Engineering, a part-time associate professor, professor of Bilmes main interest lies in statistical modeling (especially graphics model approach) and signal processing for pattern classification, speech recognition, language processing, bioinformatics, machine learning , combinatorial optimization and machine learning in the sub-module, active and semi-supervised learning, and audio / music processing. ** His interest in temporal pattern model (or dynamic graphics models, including HMM, DBN and CRF) designing and efficient algorithm designed for them and their structure so that they can serve as a better structured way classifier. He also speech-based human-machine interface, the statistical properties of natural objects and natural scenes, and information theory to calculate the natural human pattern recognition and machine relations and computer music processing (for example, the subtleties of human time) of interest. ).
21, Yoav Goldberg [Bar-Ilan University]
Profile: https://www.cs.bgu.ac.il/~yoavg/uni/
academic achievement: H-index: 41 Number of papers: 137 Number of references: 8748
Personal introduction:
Yoav Goldberg is the Department of Computer Science Bar Ilan University outstanding senior lecturer. Prior to that, he worked in New York as Google Research postdoctoral research scientist. Its research and natural language processing and machine learning related issues, especially for parsing, structured predictive models, learning greedy decoding algorithms, multi-language cross-domain language understanding and interest in learning . Recently, I was also interested in NLP method based on neural network.
22, Ellen Riloff [University of Utah]
Personal home page: http://www.cs.utah.edu/~riloff/ (her home particularly interesting ~)
** academic achievement: ** h-index: 52 Number of papers: 144 Number of references: 13933
Personal introduction:
Ellen Riloff main research areas: information extraction, emotion and emotional text analysis, semantic classification induction, social media analysis, co-reference resolution, the text of medical treatment .
23, Chew Lim Tan (Chen Shulin) [NUS]
Profile: https://tanchewlim.sg/
academic achievement: H-index: 64-Number of papers: 510 Number of references: 15033
Personal introduction:
Chew Lim Tan received a Bachelor of Science degree. University of Singapore in 1971 doctorate in physics (honors). 1973 Ph.D. radiology Surrey University and received his Ph.D. In 1986 he received his Ph.D. in computer science at the University of Virginia, USA. Now a professor at the Department of Computer Science, Computer Science, National University of Singapore. His research interests include image analysis and document text and natural language processing. He has authored more than 460 research publications and is a member of the International Association for Pattern Recognition in these areas.
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Past Events
Heavy! "Natural Language Processing (NLP)" global academia "Big guys" inventory information (a)!
Heavy! "Natural Language Processing (NLP)" global academia "Big guys" information inventory (two)!
Heavy! "Natural Language Processing (NLP)" global academia "Big guys" inventory information (c)!
[AAAI 2020] All accepted papers list (a)
[AAAI 2020] All accepted papers list (b)
[AAAI 2020] All accepted papers list (c)
[AAAI 2020] All accepted papers list (D)
[AAAI 2020] Accept All papers list (V)
[AAAI 2020] Full list of accepted papers (six)
