[PDF] Top 20 Joint Word Segmentation and POS Tagging Using a Single Perceptron
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Joint Word Segmentation and POS Tagging Using a Single Perceptron
... novel joint model for Chinese word segmentation and POS tagging, which does not limiting the interaction between segmentation and POS information in reducing the combined ... See full document
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A Fast Decoder for Joint Word Segmentation and POS Tagging Using a Single Discriminative Model
... for pos- sible words that end with the current ...maximum word length is applied to limit the number of iterations in this loop, with- out which the algorithm would have quadratic time ...any word. ... See full document
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Efficient Word Lattice Generation for Joint Word Segmentation and POS Tagging in Japanese
... Table 5 compares the F 1 -score of the proposed system with that attained by the three tools. Boot- strap resampling with 1,000 samples was used for the statistical significance test. The symbol † indi- cates that the F ... See full document
9
Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization
... our joint model as well as three state-of-the-art models (Kudo et ...normal POS tags, our model was trained using the latent ...the word-level F 1 -scores (Kudo et ...for word segmenta- ... See full document
11
Unsupervised Domain Adaptation for Joint Segmentation and POS Tagging
... Sophisticated models have been developed for joint word segmentation and part-of-speech tagging, with increasing accuracies reported on the Chinese Treebank data. These systems, which rely on ... See full document
10
A Stacked Sub Word Model for Joint Chinese Word Segmentation and Part of Speech Tagging
... for joint word segmentation and POS ...into POS tags with boundary ...noun. Using this method, POS information is allowed to inter- act with ...that word ... See full document
10
Deep Learning for Chinese Word Segmentation and POS Tagging
... complex joint tasks, for example, the task of joint word segmentation, POS tagging, parsing, and se- mantic role ...a joint model is the large combined search space, which ... See full document
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Syntactic Processing Using the Generalized Perceptron and Beam Search
... the joint word segmentation and POS -tagging problem, a dynamic-programming decoder is prohibitively slow but a beam-search decoder runs in reasonable ... See full document
48
Joint Chinese Word Segmentation, POS Tagging and Parsing
... For joint word segmentation and POS tagging, a word is correctly predicted if both the boundaries and the POS tag are correctly ...For joint segmentation, ... See full document
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An Error Driven Word Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
... learning using shorter train- ing times (McDonald, ...for joint Chinese word segmentation and POS tagging (Zhang and Clark, 2008; Jiang et ...to joint word ... See full document
9
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
... A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model Yue Zhang and Stephen Clark.. Simple Type-Level Unsupervised POS Tagging Yoong Keok Lee, Ar[r] ... See full document
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Joint Segmentation and POS Tagging for Arabic Using a CRF-based Classifier
... As pos- sible combinations of affixes and roots depend on the main category of the word, morphological decomposition and part-of-speech (POS) tagging have to be performed jointly, a combined ... See full document
7
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron
... as word segmenta- tion and part-of-speech (POS) tagging (Zhang and Clark, 2008a), POS tagging and dependency pars- ing (Bohnet and Nivre, 2012), dependency pars- ing and semantic role ... See full document
7
Neural Joint Model for Transition based Chinese Syntactic Analysis
... for word separations, they can be very ...contain word separation symbols, de- pendency parsers are used in pipeline processes with word segmentation and POS tagging mod- els, ... See full document
11
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning
... for joint Chinese word segmentation and POS tagging with heterogeneous annotation ...of joint Chinese S&T on both corpora by using the shared information of each ... See full document
11
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing
... Joint Segmentation, POS tagging and Syntactic Parsing It has been widely recognized that joint prediction is an appealing alternative for pipeline ar- chitectures (Goldberg and ... See full document
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Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study
... for word segmentation and POS tagging show that, this strategy can make effective use of the knowledge from the corpus with different ...for word segmentation and 1 point for ... See full document
9
Type Supervised Domain Adaptation for Joint Segmentation and POS Tagging
... The method can be the most effective when there is a significant amount of domain- independent words in the data, which provide rich lexicalized contexts for estimating unlexicalized features for domain-specific words. ... See full document
10
Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
... on joint segmen- tation and POS tagging for Chinese, the linear-time incremental models by Zhang and Clark (2008) and Zhang and Clark (2010) largely inspired our ...incremental joint ... See full document
9
Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing
... Structured perceptron becomes popular for various NLP tasks such as tagging and ...Chinese word segmentation, part-of-speech tagging and dependency ...eraged perceptron for some ... See full document
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