Using Unknown Word Techniques to Learn Known Words
... of universal types consists of 611 types and the MEbased classifier has been trained on the same set of 2000 words as in Cholakov and van Noord (2010). Those types predicted by the classifier which account together for less than 5% of probability mass are discarded. In order to increase the number o ...
... of universal types consists of 611 types and the MEbased classifier has been trained on the same set of 2000 words as in Cholakov and van Noord (2010). Those types predicted by the classifier which account together for less than 5% of probability mass are discarded. In order to increase the number o ...
Probability and Symmetry Paul Bartha Richard Johns
... do not endorse the idea that mere ignorance justifies the application of PI. Symmetry between possible outcomes, within a state of knowledge, is a very special case of ignorance, and it is only in such cases that PI can be applied. These symmetries sometimes define not just a relation of equi-possib ...
... do not endorse the idea that mere ignorance justifies the application of PI. Symmetry between possible outcomes, within a state of knowledge, is a very special case of ignorance, and it is only in such cases that PI can be applied. These symmetries sometimes define not just a relation of equi-possib ...
User-Controlled, Robust Natural Language Generation from an
... the system generates “glossary pages” of concepts, which display all information about concept X in the KB that are deemed relevant. The NLG module is used for two purposes in our system: to check the completeness and consistency of the KB (instead of looking at complex graphs of the encoded knowled ...
... the system generates “glossary pages” of concepts, which display all information about concept X in the KB that are deemed relevant. The NLG module is used for two purposes in our system: to check the completeness and consistency of the KB (instead of looking at complex graphs of the encoded knowled ...
2.1 Pairwise Alignment
... Exploring frequently occurring patterns of nucleotides. Finding informative elements in protein and DNA sequences. Many of these research problems aim at learning about functionality or the structure of protein without performing any experiments and actually without having to physically construc ...
... Exploring frequently occurring patterns of nucleotides. Finding informative elements in protein and DNA sequences. Many of these research problems aim at learning about functionality or the structure of protein without performing any experiments and actually without having to physically construc ...
6.863J Natural Language Processing Lecture 9: Writing grammars
... • For a grammar rule β 0 Æ β1 …β n • <βi feature path> = Atomic value • <βi feature path> = <βj feature path> 6.863J/9.611J Lecture 9 Sp03 ...
... • For a grammar rule β 0 Æ β1 …β n • <βi feature path> = Atomic value • <βi feature path> = <βj feature path> 6.863J/9.611J Lecture 9 Sp03 ...
Generating Context-Appropriate Word Orders in Turkish
... The rst rule indicates that a noun in the presence of a case morpheme becomes a functor looking for a verb on its right; this verb is also a functor looking for the original noun with the appropriate case on its left. After the noun functor combines with the appropriate verb, the result is a functo ...
... The rst rule indicates that a noun in the presence of a case morpheme becomes a functor looking for a verb on its right; this verb is also a functor looking for the original noun with the appropriate case on its left. After the noun functor combines with the appropriate verb, the result is a functo ...
Average case and smoothed competitive analysis of the multi
... [6, 9, 17, 22, 21], smoothed analysis was successfully applied to characterize the time complexity of other problems. Competitive analysis [19] measures the quality of an online algorithm by comparing its performance to that of an optimal offline algorithm that has full knowledge of the future. Compe ...
... [6, 9, 17, 22, 21], smoothed analysis was successfully applied to characterize the time complexity of other problems. Competitive analysis [19] measures the quality of an online algorithm by comparing its performance to that of an optimal offline algorithm that has full knowledge of the future. Compe ...
Relative frequencies
... equal to the whole target, is hit with relative frequency zero. This example is very idealized; but it establishes that in certain cases, it is not consistent to claim that all probabilities are relative frequencies. 2. Weaker Criteria of Adequacy ...
... equal to the whole target, is hit with relative frequency zero. This example is very idealized; but it establishes that in certain cases, it is not consistent to claim that all probabilities are relative frequencies. 2. Weaker Criteria of Adequacy ...
What has been will be again : A Machine Learning Approach to the Analysis of Natural Language
... Handwritten text can be captured and analyzed in two modes: o -line and on-line. In an o -line mode, handwritten text is captured by an optical scanner that converts the image written on paper into digitized bit patterns (pixels). Image processing techniques are then used to nd the location of the ...
... Handwritten text can be captured and analyzed in two modes: o -line and on-line. In an o -line mode, handwritten text is captured by an optical scanner that converts the image written on paper into digitized bit patterns (pixels). Image processing techniques are then used to nd the location of the ...
Deduction with Contradictions in Datalog
... are consistent with the facts that have been inferred so far. Nondeterminism results from the choice of one consistent set of facts at each stage. Relating to languages in [8], we show that datalogf d with this semantics captures exactly the known class NDB-PTIME of nondeterministic queries computab ...
... are consistent with the facts that have been inferred so far. Nondeterminism results from the choice of one consistent set of facts at each stage. Relating to languages in [8], we show that datalogf d with this semantics captures exactly the known class NDB-PTIME of nondeterministic queries computab ...
Near-Optimal Reinforcement Learning in Polynomial Time
... last decade. Many different algorithms have been proposed to solve reinforcement learning problems, and various theoretical results on the convergence properties of these algorithms ∗ This ...
... last decade. Many different algorithms have been proposed to solve reinforcement learning problems, and various theoretical results on the convergence properties of these algorithms ∗ This ...