2020 - ACM Fellow For contributions to information retrieval, including topic detection and tracking
James Allan focuses on Information retrieval, Artificial intelligence, Natural language processing, Relevance and World Wide Web. His work on Information retrieval is being expanded to include thematically relevant topics such as Relevance feedback. His Artificial intelligence research is multidisciplinary, relying on both Test, Machine learning, Computer vision and Pattern recognition.
His research in the fields of Language model overlaps with other disciplines such as Process, Software research and Scale. His Human–computer information retrieval study in the realm of Relevance connects with subjects such as Point. His work is dedicated to discovering how World Wide Web, User modeling are connected with Metasearch engine and other disciplines.
His main research concerns Information retrieval, Artificial intelligence, Natural language processing, Relevance and Query expansion. His Information retrieval research is multidisciplinary, incorporating elements of World Wide Web and Relevance feedback. His Artificial intelligence research integrates issues from Ranking and Machine learning.
His study on Sentence and Automatic summarization is often connected to Process as part of broader study in Natural language processing. His Context research extends to the thematically linked field of Relevance. His Query expansion research incorporates themes from Web search query and Data mining, Query optimization.
His primary areas of investigation include Artificial intelligence, Information retrieval, Natural language processing, Relevance and Ranking. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Ranking and Machine learning. Information retrieval and Relevance feedback are frequently intertwined in his study.
His Natural language processing research includes themes of Matching, Semantic matching and Translation. The various areas that James Allan examines in his Relevance study include User experience design, Contrast and Data mining. James Allan has included themes like Leverage, Document retrieval, Data science, Social media and Focus in his Ranking study.
His scientific interests lie mostly in Information retrieval, Artificial intelligence, Relevance, Machine learning and Natural language processing. His work carried out in the field of Information retrieval brings together such families of science as Language model and Test. His work in the fields of Machine translation overlaps with other areas such as Set expansion.
His Relevance research also works with subjects such as
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Topic Detection and Tracking Pilot Study Final Report
James Allan;Jaime Carbonell;George Doddington;Jonathan Yamron.
Proceedings of the Broadcast News Transcription and Understanding Workshop (Sponsored by DARPA) (1998)
Topic detection and tracking: event-based information organization
On-line new event detection and tracking
James Allan;Ron Papka;Victor Lavrenko.
international acm sigir conference on research and development in information retrieval (1998)
Automatic Query expansion using SMART : TREC 3
Chris Buckley;Gerard Salton;James Allan;Amit Singhal.
text retrieval conference (1994)
A comparison of statistical significance tests for information retrieval evaluation
Mark D. Smucker;James Allan;Ben Carterette.
conference on information and knowledge management (2007)
Approaches to passage retrieval in full text information systems
Gerard Salton;J. Allan;Chris Buckley.
international acm sigir conference on research and development in information retrieval (1993)
Text classification and named entities for new event detection
Giridhar Kumaran;James Allan.
international acm sigir conference on research and development in information retrieval (2004)
The effect of adding relevance information in a relevance feedback environment
Chris Buckley;Gerard Salton;James Allan.
international acm sigir conference on research and development in information retrieval (1994)
Introduction to topic detection and tracking
Topic detection and tracking (2002)
Automatic analysis, theme generation, and summarization of machine-readable texts
Gerard Salton;James Allan;Chris Buckley;Amit Singhal.
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