Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Osborne, Miles"'
Autor:
Voskarides, Nikos, Meij, Edgar, Reinanda, Ridho, Khaitan, Abhinav, Osborne, Miles, Stefanoni, Giorgio, Kambadur, Prabhanjan, de Rijke, Maarten
Knowledge graphs (KGs) model facts about the world, they consist of nodes (entities such as companies and people) that are connected by edges (relations such as founderOf). Facts encoded in KGs are frequently used by search applications to augment re
Externí odkaz:
http://arxiv.org/abs/1805.02393
Relevance Models are well-known retrieval models and capable of producing competitive results. However, because they use query expansion they can be very slow. We address this slowness by incorporating two variants of locality sensitive hashing (LSH)
Externí odkaz:
http://arxiv.org/abs/1607.02641
Twitter has become a major source of data for social media researchers. One important aspect of Twitter not previously considered are {\em deletions} -- removal of tweets from the stream. Deletions can be due to a multitude of reasons such as privacy
Externí odkaz:
http://arxiv.org/abs/1305.3107
Autor:
Nerbonne, John, Belz, Anja, Cancedda, Nicola, Dejean, Herve, Hammerton, James, Koeling, Rob, Konstantopoulos, Stasinos, Osborne, Miles, Thollard, Franck, Sang, Erik F. Tjong Kim
Publikováno v:
In: Walter Daelemans and Remi Zajac (eds.), Proceedings of CoNLL-2001, Toulouse, France, 2001, pp. 97-104
This paper reports on the "Learning Computational Grammars" (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey
Externí odkaz:
http://arxiv.org/abs/cs/0107017
Autor:
Osborne, Miles
Publikováno v:
Coling 2000, Saarbr\"{u}cken, Germany. pp 586--592
We argue that some of the computational complexity associated with estimation of stochastic attribute-value grammars can be reduced by training upon an informative subset of the full training set. Results using the parsed Wall Street Journal corpus s
Externí odkaz:
http://arxiv.org/abs/cs/0008024
Autor:
Osborne, Miles
When parsing unrestricted language, wide-covering grammars often undergenerate. Undergeneration can be tackled either by sentence correction, or by grammar correction. This thesis concentrates upon automatic grammar correction (or machine learning of
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9502002
Autor:
Osborne, Miles, Bridge, Derek
Publikováno v:
ICGI-94 Colloquium
This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven le
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9406040
Autor:
Osborne, Miles
Publikováno v:
Journal of Machine Learning Research. Fall2002, Vol. 2 Issue 4, p695. 24p.
Publikováno v:
Journal of Machine Learning Research. Fall2002, Vol. 2 Issue 4, p551. 8p.