[PDF] Top 20 Learning Reliable Information for Dependency Parsing Adaptation
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Learning Reliable Information for Dependency Parsing Adaptation
... the information on shorter dependencies in auto-parsed target data to help parse the words with longer distance for do- main ...for parsing longer distance ...when dependency lengthes were ...that ... See full document
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Learning the Optimal Use of Dependency parsing Information for Finding Translations with Comparable Corpora
... Our experimental results suggest that it is bene- ficial to weight context positions individually. For example, we found that predecessor and successor should be stronger weighted than sibling, and sen- tence ... See full document
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Frustratingly Hard Domain Adaptation for Dependency Parsing
... A natural approach to improving parsing is to mod- ify the feature set, both by removing features less likely to transfer and by adding features that are more likely to transfer. We began with the first ap- proach ... See full document
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Spectral Learning for Non Deterministic Dependency Parsing
... an adaptation of the parsing algo- rithm for SHAG by Eisner and Satta (1999) to the case of non-deterministic head-automata, and has a runtime cost of O(n 2 N 3 ), where n is the number of states of the ... See full document
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Online Learning for Deterministic Dependency Parsing
... terministic parsing lies in the ability to use the sub- tree information in the features to decide the next ...step. Parsing algorithms which search the entire space (Eisner, 1996; McDonald, 2006) ... See full document
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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... other learning approaches, such as memory-based lan- guage processing (Daelemans and Van den Bosch, 2005), could be ...domain adaptation procedure results in significantly improved accuracy ... See full document
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Dependency Parsing Domain Adaptation using Transductive SVM
... the parsing of a sentence generally depends on the actions taken before, but when we are training on an unannotated sentence, we have no way of knowing what actions the parser should have taken, and thus the state ... See full document
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Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks
... semantic parsing, people also use a lot of syntactic features, ...semantic dependency parsing (Johans- son and Nugues, ...by learning a latent feature representation (LFR) for different ... See full document
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Improved Parsing and POS Tagging Using Inter Sentence Consistency Constraints
... domain adaptation and lightly supervised ...for dependency parsing and part-of-speech ...domain adaptation, we show an error reduction of up to ...supervised learning, we show an error ... See full document
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Multilingual Dependency Parsing and Domain Adaptation using DeSR
... detailed dependency labeling, that for instance distinguish between adverbials of location and ...this information by introducing a feature that captures the entity type of a child of the top word on the ... See full document
7
Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
... extract reliable parses, we did not adopt an en- semble method, but used a single-parser approach because speed and efficiency are important in pro- cessing a gigantic volume of text to benefit knowl- edge ... See full document
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Tree Revision Learning for Dependency Parsing
... A dependency parse tree encodes useful semantic in- formation for several language processing ...pendency parsing is a simpler task than constituent parsing, since dependency trees do not have ... See full document
8
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... on surface forms and part-of-speech (POS) tags of words, and first-order features between pairs of head and dependent words. Higher-order features that refer to chains of two or more dependencies, like the ones used in ... See full document
9
Semi supervised Domain Adaptation for Dependency Parsing
... domain parsing focus on unsupervised domain adaptation, assuming there is no target- domain training ...domain adaptation and ...domain adaptation problem for Chinese dependency ... See full document
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A Method for Accelerating CFG Parsing by Using Dependency Information
... statistical parsing systems, and we can get relatively correct dependency informa- tion using these ...linguistic information anno- tation [10, 4, 12, 13] provide tools by which a user can easily ... See full document
6
Dependency Parsing by Inference over High recall Dependency Predictions
... two learning-based ap- proaches, we first describe a number of baselines, which provide simple reference scores giving some sense of the difficulty of each ...machine learning systems: 1) an ap- proach that ... See full document
5
Online Learning of Approximate Dependency Parsing Algorithms
... predicted dependency graph, and find the smallest-norm update to the weight vector w that ensures that the training graph outscores the predicted graph by a margin proportional to the loss of the predicted graph ... See full document
8
Incremental Dependency Parsing Using Online Learning
... we briefly considered using SVMstruct but train- ing was too time-consuming. The online methods on the other hand, although less theoretically ap- pealing, can handle realistically sized data sets and have successfully ... See full document
5
Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
... Our goal is learning to handle erroneous states, so we need to sample such instances during train- ing. Concretely, for every state in the sampling process, apart from following the ε-greedy pol- icy (i.e., select ... See full document
9
A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing
... pseudo-projective parsing, a preprocess step turns every non-projective arcs into projective ...the information regarding the non- projectivity is added in the label of the arc, generating a new ...the ... See full document
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