[PDF] Top 20 Experiments with Learning Parsing Heuristics
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Experiments with Learning Parsing Heuristics
... Only five out of ten original attributes are used by the learned rules, and all of them are cheap to compute: two attributes are derived by fragmentary parsing number of verbal fragments[r] ... See full document
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Experiments with Learning Parsing Heuristics
... Experiments with Learning Parsing Heuristics Experiments with Learning Parsing Heuristics Sylvain DELISLE Drpartement de mathrmatiques et d'informatique Universit6 du Q u r b e c h Trois Rivirres Troi[.] ... See full document
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Experiments on human incremental parsing
... language learning (especially reading learning), literary studies, nontrivial semantic and pragmatic comprehension, and logical inference, which requires full understanding of subtle context; see ... See full document
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Generative Constituent Parsing and Discriminative Dependency Reranking: Experiments on English and French
... this approach lies in its complexity. The constraints can, theoretically, range over any aspect of the final structures, which prevents from using efficient dy- namic programming techniques when searching for a global ... See full document
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An Imitation Learning Approach to Unsupervised Parsing
... in parsing actions. In our work, we propose an imitation learning approach to unsupervised parsing, where we transfer the syntactic knowledge induced by the PRPN to a Tree-LSTM model with discrete ... See full document
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Optimizing Spectral Learning for Parsing
... preliminary experiments with na¨ıve spectral estimation, we preprocess rare words in the train- ing set in two ways: (i) we replace them with their corresponding POS tags, and (ii) we replace them with their ... See full document
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Learning Efficient Parsing
... similar experiments on the D-Coi ...the experiments in the previous section as development experiments from which we learn the best parameters of the ... See full document
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Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
... In our experiments, we use the Robocup sportscasting data produced by Chen et al. (2010), which includes both English and Korean com- mentaries. The data was collected by having both English and Korean speakers ... See full document
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Experiments with Easy first nonprojective constituent parsing
... In the results in table 2, we see the results for the dependency-to-constiuents approach, as well as for the easy-first parsing with different reordering heuristics. As in Nivre et al. (2009), we notice ... See full document
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Evaluating Dependency Parsing: Robust and Heuristics Free Cross Annotation Evaluation
... making parsing results com- parable across experiments include heuristics for converting outputs into dependency trees of a prede- fined standard (Briscoe et ...conversion heuristics and ... See full document
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Clausal parsing helps data driven dependency parsing: Experiments with Hindi
... based parsing), and one based on soft constraints (using a kind of parser ...single-stage parsing. We showed that 2-Hard benefits from parsing shallower trees, and shorter arc lengths when compared ... See full document
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Semantic Parsing with Dual Learning
... without unlabeled data (i.e. the ratio of unlabeled data is zero), the dual learning based semantic parser can outperform our baselines. However, the performance of our method doesn’t improve con- stantly, when ... See full document
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NUMERICAL FUNCTION OPTIMIZATION: MODEL, PROCEDURE AND USES
... A new optimization technique, RTLBO, is offered based on the viewpoint of the teaching–learning method & its enactment is tested by investigating with dissimilar benchmark difficulties with different features. ... See full document
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A Learning Approach to Shallow Parsing
... This paper presents a general learning ap- proach for identifying syntactic patterns, based on the SNoW learning architecture Roth, 1998; Roth, 1999.. The SNoW learning architecture is a[r] ... See full document
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Automated design of production scheduling heuristics : a review
... ]. The search space then grows exponentially in the number of work centres or machines, which can be very large in shops of realistic size, requiring some specific measures in addition to the above techniques to deal ... See full document
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Distributed Experiments and Distributed Learning
... are experiments, running on a hardware-software system, cloud ...Such experiments are good for demonstrations and guided lab sessions, in some cases the software allows open lab ... See full document
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Active Contextual Policy Search
... reinforcement learning to learn contextual policies directly with reward weighted ...reinforcement learning algorithm that can be used to learn the upper-level policy is contextual relative entropy policy ... See full document
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Parsing Word Clusters
... discuss experiments in sta- tistical parsing of French, where terminal forms used during training and parsing are replaced by more general symbols, particu- larly clusters of words obtained through ... See full document
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Learning for Semantic Parsing with Statistical Machine Translation
... frame. Learning methods have been devised that can gen- erate MRs with a complex, nested structure ...deterministic parsing (Zelle and Mooney, 1996; Kate et ...Other learning methods involve the use ... See full document
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Heuristics for Broad Coverage Natural Language Parsing
... HEURISTICS FOR BROAD COVERAGE NATURAL LANGUAGE PARSING H E U R I S T I C S FOR B R O A D C O V E R A G E N A T U R A L L A N G U A G E PARSING M i c h a e l C M c C o r d I B M T J W a t s o n R e s e[.] ... See full document
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