[PDF] Top 20 Dependency Parsing and Projection Based on Word Pair Classification
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Dependency Parsing and Projection Based on Word Pair Classification
... For dependency projection, the relationship be- tween words in the parsed sentences can be sim- ply projected across the word alignment to words in the unparsed sentences, according to the DCA ... See full document
9
Annotation Projection based Representation Learning for Cross lingual Dependency Parsing
... is based on annotation projection (Hwa et ...the word level alignments. Then, they train a dependency parser in the target language by using the target language sentences with projected ... See full document
10
Soft Cross lingual Syntax Projection for Dependency Parsing
... syntax projection are 1) errors from the source-language parser and unsupervised word aligner; 2) intrinsic syntactic non-isomorphism between languages; 3) incomplete parse trees after ...simple ... See full document
11
N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings
... for parsing aims to re-rank and change the order of parse trees produced by a general parser for a given ...and dependency association scores based on dependency-based word ... See full document
16
Word Independent Context Pair Classification Model for Word Sense Disambiguation
... Traditionally, word sense disambiguation (WSD) involves a different context classifi- cation model for each individual ...WSD based on learning a word independent context pair ... See full document
7
Unsupervised Classification with Dependency Based Word Spaces
... a dependency based space is determined by the sets of its basis elements B and targets T that form a matrix M = B × T , a similarity function S that assigns a real-valued similarity measure to pairs of ... See full document
8
Memory Based Dependency Parsing
... when parsing unseen sentence data. More precisely, parsing accuracy is measured by the attachment score, which is a standard measure used in studies of dependency parsing (Eisner, 1996; ... See full document
8
Distributed Word Representation Learning for Cross Lingual Dependency Parsing
... 2013). Based on different learning mechanisms (whether or not using labeled data) for induc- ing language-independent features, cross-lingual representation learning methods can be cate- gorized into unsupervised ... See full document
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Improving Graph based Dependency Parsing with Decision History
... cubic parsing actions of the Eisner’s parsing algorithm (Eisner, 1996) in the right direction, where s, r, and t refer to the start and end indices of the chart ...the dependency from s to ...new ... See full document
9
Efficient Structured Inference for Transition Based Parsing with Neural Networks and Error States
... transition-based parsing that uses locally-trained neural networks that, unlike pre- vious local classification approaches, produce scores suitable for global ...transition-based ... See full document
14
Character Level Chinese Dependency Parsing
... Character-Level Dependency Parsing A transition-based framework with global learn- ing and beam search decoding (Zhang and Clark, 2011) has been applied to a number of natural lan- guage processing ... See full document
11
Layer-Based Dependency Parsing
... for dependency parsing. Sagae and Lavie (2006) built a graph-based model to reparse a dependency graph of which the arc scores were created by the outputs of three transition-based ... See full document
10
Utilizing Dependency Language Models for Graph based Dependency Parsing Models
... produce word clusters on a large amount of unan- notated data and represented new features based on the clusters for dependency parsing ...the dependency parsing problem and ... See full document
10
Efficient Inner to outer Greedy Algorithm for Higher order Labeled Dependency Parsing
... predict dependency struc- tures and dependency type labels on each ...graph-based dependency parsing algorithms only produce unlabeled dependency trees, particularly when ... See full document
7
Sequence Labeling Parsing by Learning across Representations
... into dependency trees using a dependency model, com- pute a probability score for each of them, and fi- nally rerank the most plausible trees based on both ...and dependency parsing ... See full document
8
Sentiment classification of online political discussions: a comparison of a word based and dependency based method
... We automatically divided the material into sen- tences and all sentences containing at least one tar- get word and one sentiment word were kept for further analysis. If a sentence contained more than one ... See full document
7
Dependency Language Models for Transition based Dependency Parsing
... to dependency parsing by Kawahara and Uchimoto (2008) and Yu et ...dency parsing need an additional selection step to predict high-quality parsed sentences for retrain- ... See full document
7
TurkuNLP: Delexicalized Pre training of Word Embeddings for Dependency Parsing
... gual Parsing from Raw Text to Universal De- pendencies (Zeman et ...end-to-end parsing system, from raw text to dependency trees, for all of the languages and ... See full document
7
Delexicalized Word Embeddings for Cross lingual Dependency Parsing
... cross-lingual dependency parsing, aiming at leveraging training data from different source languages to learn a parser in a target ...constructs word vector representations that exploit struc- tural ... See full document
10
It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment
... the word immediately to their right, ...head word, achieves better accuracy and is closer to the gold standard balance ...head word (at position 0) for several common ... See full document
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