The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Question answering, World Wide Web and Natural language processing. A large part of his Information retrieval studies is devoted to Ranking. Artificial intelligence and Machine learning are commonly linked in his work.
His study in Question answering is interdisciplinary in nature, drawing from both Contrast, Set, Information system and Component. His work carried out in the field of World Wide Web brings together such families of science as Context, Service, Analytics, Natural language and Data analysis. In general Natural language processing, his work in Sentence, Syntax and Parsing is often linked to Simple linking many areas of study.
Jimmy Lin spends much of his time researching Information retrieval, Artificial intelligence, World Wide Web, Question answering and Natural language processing. His Information retrieval research incorporates elements of Ranking, Social media and Context. His Artificial intelligence study frequently draws connections between adjacent fields such as Machine learning.
His World Wide Web research is multidisciplinary, relying on both Cloud computing, Data science and Big data. Jimmy Lin has included themes like Natural language and Information needs in his Question answering study. His Ranking research is multidisciplinary, incorporating elements of Data mining and Search engine.
His primary areas of study are Artificial intelligence, Information retrieval, Natural language processing, Ranking and Ranking. His Artificial intelligence study frequently links to related topics such as Machine learning. His Information retrieval research incorporates themes from Artificial neural network, Context and State.
His Natural language processing study combines topics from a wide range of disciplines, such as Embedding and Task. His Ranking research also works with subjects such as
His primary scientific interests are in Information retrieval, Artificial intelligence, Ranking, Transformer and Question answering. In the subject of general Information retrieval, his work in Relational database is often linked to Coronavirus disease 2019, thereby combining diverse domains of study. His Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.
The various areas that Jimmy Lin examines in his Ranking study include Document retrieval, Artificial neural network, Ranking and Theoretical computer science. His research integrates issues of Relevance, Search engine and Search engine indexing in his study of Ranking. His Question answering research includes themes of Test and State.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Data-Intensive Text Processing with MapReduce
Jimmy Lin;Chris Dyer.
Searching for SNPs with cloud computing
Ben Langmead;Ben Langmead;Michael C Schatz;Jimmy Lin;Mihai Pop.
Genome Biology (2009)
Evaluation of PICO as a Knowledge Representation for Clinical Questions
Xiaoli Huang;Jimmy J. Lin;Dina Demner-Fushman.
american medical informatics association annual symposium (2006)
WTF: the who to follow service at Twitter
Pankaj Gupta;Ashish Goel;Jimmy Lin;Aneesh Sharma.
the web conference (2013)
Cloud Computing and Information Policy: Computing in a Policy Cloud?
Paul T. Jaeger;Jimmy Lin;Justin M. Grimes.
Journal of Information Technology & Politics (2008)
Web question answering: is more always better?
Susan Dumais;Michele Banko;Eric Brill;Jimmy Lin.
international acm sigir conference on research and development in information retrieval (2002)
Quantitative evaluation of passage retrieval algorithms for question answering
Stefanie Tellex;Boris Katz;Jimmy Lin;Aaron Fernandes.
international acm sigir conference on research and development in information retrieval (2003)
Data-intensive Question Answering
Eric Brill;Jimmy J. Lin;Michele Banko;Susan T. Dumais.
text retrieval conference (2001)
Overview of the TREC 2007 Question Answering Track
Hoa Trang Dang;Diane Kelly;Jimmy J. Lin.
text retrieval conference (2007)
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He;Kevin Gimpel;Jimmy Lin.
empirical methods in natural language processing (2015)
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