multilingual dependency
Exploring Confidence based Self training for Multilingual Dependency Parsing in an Under Resourced Language Scenario
... This paper presents a novel self-training approach that we use to explore a sce- nario which is typical for under-resourced languages. We apply self-training on small multilingual dependency corpora of nine ...
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A Fast and Lightweight System for Multilingual Dependency Parsing
... lightweight multilingual dependency parsing system for the CoNLL 2017 UD Shared Task, which composed of a BiLSTMs feature extractor and a MLP classi- ...for multilingual depen- dency ...
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Investigating Multilingual Dependency Parsing
... In this paper, we describe a system for the CoNLL-X shared task of multilin- gual dependency parsing. It uses a base- line Nivre’s parser (Nivre, 2003) that first identifies the parse actions and then la- bels the ...
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CoNLL X Shared Task on Multilingual Dependency Parsing
... Table 1: Characteristics of the data sets for the 13 languages (abbreviated by their first two letters): language family (Semitic, Sino-Tibetan, Slavic, Germanic, Japonic (or language isolate), Romance, Ural-Altaic); ...
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Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
... ditional dependency edges only between adjacent states in the parse history, the ISBN graphical model can specify conditional dependency edges between latent variables which are arbitrarily far apart in the ...
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A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations
... a multilingual approach, we add new parameters and new fea- tures to the training algorithm, notably the pos- sibility to use multilingual word embeddings and one hot encoding to encode ...
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Multilingual Dependency Parsing using Bayes Point Machines
... where one is hypothesized to be the parent and the other to be the child, we extract the word of the par- ent token, the part of speech of the parent token, the word of the child token, the part of speech of the child ...
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Getting More from Morphology in Multilingual Dependency Parsing
... Most data-driven dependency parsers are meant to be language-independent. They do not use any information that is specific to the language being parsed, and they often rely heavily on n-grams, or sequences of ...
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Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
... The same feature template sets as the semantic- only task are used for three languages, Czech, Ger- man and Japanese. For the rest four languages, we further use n-best syntactic features to strengthen semantic ...
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Multilingual Dependency Parsing for Low Resource Languages: Case Studies on North Saami and Komi Zyrian
... Even in cases where the LAS scores (i.e. labels of the syn- tactic dependencies) were not significantly different, there was often greater variation in the UAS scores (unlabeled dependencies). This means that although ...
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A Multilingual Dependency Analysis System Using Online Passive Aggressive Learning
... Dependency-tree parsing as the search for the maxi- mum spanning tree (MST) in a graph was proposed by McDonald et al. (2005b). In this subsection, we briefly describe the parsing algorithms based on the ...
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Multilingual Dependency Analysis with a Two Stage Discriminative Parser
... Often in language processing we require a deep syn- tactic representation of a sentence in order to assist further processing. With the availability of resources such as the Penn WSJ Treebank, much of the fo- cus in the ...
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Multilingual Dependency based Syntactic and Semantic Parsing
... During training the predicate classification (PC) and the semantic role labeling (SRL) models, golden syntactic dependency parsing results are used. Pre- vious experiments show that the PC and SRL test re- sults ...
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A Two Stage Parser for Multilingual Dependency Parsing
... The unlabeled parser predicts unlabeled directed de- pendencies. This parser is primarily based on the parsing models described by (Nivre, 2003). The al- gorithm makes a dependency parsing tree in one left- ...
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Multilingual Dependency Parsing Using Global Features
... lingual dependency parser used for the mul- tilingual track of the CoNLL 2007 shared ...unlabeled dependency parser us- ing Gibbs sampling which can incorporate sentence-level (global) features as well as ...
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Selective Sharing for Multilingual Dependency Parsing
... In this paper, we present a new multilingual al- gorithm for dependency parsing. In contrast to pre- vious approaches, this algorithm can learn depen- dency structures using annotations from a diverse set ...
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Multilingual Dependency Parsing and Domain Adaptation using DeSR
... Table 2 reports the official accuracy scores on the closed adaptation track. DeSR achieved a close second best UAS on the ptchemtb test set and third best on CHILDES . The results are quite en- couraging, particularly ...
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Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
... semantic dependency parsing (SR- Lonly) for our participation in the shared task of ...semantic dependency parsing can be transformed into a word-pair classification problem and im- plemented as a ...
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Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
... Multilingual dependency parsing investigates on proposing a general framework of dependence parsing algorithms. This paper presents and ana- lyzes the impact of two preprocessing components, namely, ...
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The CoNLL 2007 Shared Task on Dependency Parsing
... for multilingual dependency parsing, but we add a new dimension by also intro- ducing the problem of domain ...a multilingual track using essentially the same setup as last year, but with partly ...
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