This dissertation combines insights from IR and the key advan- tages of neural networks to address two important challenges of IR in language understanding. The ...
Feb 18, 2020 · Homepage: http://www.cs.cmu.edu/~zhuyund/ ... dissertation research develops neural network solutions to improve language ... Callan. “Context-aware ...
ABSTRACT. Selective distributed search is a retrieval architecture that reduces search costs by partitioning a corpus into topical.
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BS IN COMPUTER SCIENCE. Jul 2014 | Beijing, China. Dept. of Computer Science, EECS. Cum. GPA: 3.78 / 4.0. LINKS www.cs.cmu.edu/~zhuyund/. LinkedIn:// zhuyundai.
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D., I worked with Professor Jamie Callan. My research aims to improve language understanding in tody's information retrieval systems, towards building the next- ...
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It is an open question whether inverted list caching is effective with topic-based in- dex shards. This paper investigates the behavior of the well-known QtfDf ...
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Oct 26, 2014 · Abstract. This dissertation aims to improve text representation, retrieval, and understand- ing with knowledge graphs.
Selective search is a cluster-based distributed retrieval architecture that reduces computational costs by partitioning a corpus into topical shards, ...
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Aug 11, 2020 · Language Technologies Institute, Carnegie Mellon University. 2008. Zhuyun Dai. Neural Matching and Importance Learning in Information ...
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Pursuing a Ph.D. was a sudden decision I made by flipping a coin when. I was finishing my master studies. To this day, I still have mixed feelings.