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Variations on language modeling for information retrieval

Wessel Kraaij
2005 SIGIR Forum  
We also tried a combination of Porter and fuzzy matching: fuzzy matching + edit distance on a Porter-stemmed index.  ...  ran this experiment on the TREC-5 run set and reported an average improvement of 0.5% over 61 runs with a maximum of 3.5%.  ...  A document ranking formula can be built from each possible combination of these six letters as follows: the document term weight is composed of a multiplication of the term weight (first letter) and the  ... 
doi:10.1145/1067268.1067291 fatcat:h23lp5aqfvfu5iecwnihfme244

Automatic Summarization

Martha Larson
2012 Foundations and Trends in Information Retrieval  
Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR).  ...  This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval.  ...  The first approach combines words with fuzzy search in a 1-best syllable transcript. This approach is outperformed by a second approach that combines words with an exact search on a syllable lattice.  ... 
doi:10.1561/1500000020 fatcat:o424mjxnp5abbexhjsobtom2ry

Information navigation on the web by clustering and summarizing query results

Dmitri G. Roussinov, Hsinchun Chen
2001 Information Processing & Management  
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering.  ...  We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users.  ...  Acknowledgements This research was supported by the following grants: NSF/DARPA/NASA Digital Library Initiative, IRI-9411318, and DARPA Information Management Program, N66001-97-C-8535.  ... 
doi:10.1016/s0306-4573(00)00062-5 fatcat:cpezuofgijc2hlpeq2a5fyn4ui

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
We propose a joint learning model which combines pairwise classification and mention clustering with Markov logic.  ...  Our end system outperforms the state-of-the-art baseline by 2 B 3 F1 points on non-transcript portion of the ACE 2004 dataset.  ...  Basili, and M. 2:30pm -3:00pm Deciphering Foreign Lan- guage by Combining Lan- guage Models and Context Vectors M.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  Some algorithms, most notably CN2 (Clark and Niblett 1989; Clark and Boswell 1991) , learn multi-class rules directly by optimizing overall possible classes in the head of the rule.  ...  framework, i.e., they assume a set of positive and negative training examples.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im