Data Representation and Dependency
LAF/GrAF-grounded Representation of Dependency Structures
... adequate representation of syntactic dependency structures in many ...with dependency infor- mation: words/tokens and ...output data from different dependency parsers in proprietary XML ...
6
Semantic Representation of Ellipsis in the Prague Dependency Treebanks
... semantic representation in the Prague Dependency ...Prague Dependency Treebanks has already been used in many projects, both in linguistics research and for the development of NLP learning algorithms ...
14
Distributed Word Representation Learning for Cross Lingual Dependency Parsing
... Training Data in Target Language In the experiments above, all the labeled sen- tences for dependency parsing training are from the source ...cross-lingual dependency parsing tasks in Figure ...
11
Converting Russian Dependency Treebank to Stanford Typed Dependencies Representation
... The conversion script works with conversion patterns, which specify the possible targets of a source label and the conditions for this target to be applied. Conditions can be specified in terms of POS, morphological, ...
5
Representation of Morphosyntactic Units and Coordination Structures in the Turkish Dependency Treebank
... Considering the tokens are processed incremen- tally from left to right during parsing, one difficulty with this method lies in correctly guessing the de- pendency relation between the prior argument and the conjunction ...
6
Annotation Projection based Representation Learning for Cross lingual Dependency Parsing
... the dependency relation arcs, we can use the number of appearances of its interlingual features as the corresponding feature ...projected dependency arc instances, and we cannot compute their feature values ...
10
On the Role of Explicit Morphological Feature Representation in Syntactic Dependency Parsing for German
... consistent data we semi-automatically changed the annotation of prepositional phrases: in the original treebank, prepositional phrases have been analysed as flat structures without an embedded noun ...
5
A Unified Database of Dependency Treebanks: Integrating, Quantifying & Evaluating Dependency Data
... the representation is more complex, this is on the one hand, due to XML syntax used and on the other hand, due to the separation of word and structure related ...with dependency structures (see DDT), which ...
7
A Morphology Based Representation Model for LSTM Based Dependency Parsing of Agglutinative Languages
... To improve the parsing performance of the LSTM parser with character-based word embeddings mentioned in Section 2.1, we include the mor- phological information of words to the embedding model. In agglutinative languages ...
10
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
... the dependency relations in which the words ...that dependency clustering can be ...experiment. Dependency clustering yields superior clusters for Dutch across different settings of parameters such ...
10
Semi supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks
... unsupervised representation learning approaches have been investigated to produce augmenting features for natural language processing systems in the open-domain learning ...dynamic dependency network model ...
16
Dependency parsing representation effects on the accuracy of semantic applications — an example of an inflective language
... training data is annotated assuming a fixed syntax ...training data for SRL system, ...all dependency models, as targets are considered to consist of single ...16 dependency parsers, but the ...
8
Dependency Networks for Collaborative Filtering and Data Visualization
... and data visualization. In Section 2, we define the representation and describe several of its basic ...a dependency network from data, concentrating on the case where the local distributions ...
10
Is the Stanford Dependency Representation Semantic?
... syntactic representation that are widely used for semantic tasks, like Recognizing Textual ...meaning representation ought to convey? This pa- per explores this question by investigating the feasibility of ...
5
Neural Machine Translation with Source Dependency Representation
... Source dependency information has been successfully introduced into statistical machine ...its dependency label ...source dependency represen- tation to improve translation performance of NMT, ...
7
The Effect of Dependency Representation Scheme on Syntactic Language Modelling
... Researchers have shown an increased interest in dependency parsing and it has increasingly been recognised as an alternative to constituency pars- ing in the past years. Accordingly, various repre- sentations and ...
10
A Probabilistic Generative Model for an Intermediate Constituency Dependency Representation
... Tesni`ere Dependency Structure (TDS) framework formulated in (Sangati and Mazza, ...This representation in- corporates aspects from both constituency and dependency ...
6
Data Representation
... Binary Representation (2) One bit can be either 0 or 1. Therefore, one bit can represent only two things. To represent more than two things, we need multiple bits. Two bits can represent four things because there ...
34
Dependency Parsing with Short Dependency Relations in Unlabeled Data
... to dependency length We now look at the improvement relative to depen- dency length as Figure 5 ...when dependency lengths are less than ...for dependency length 4, ...
7
Dependency Discovery for Data Integration
... given data source arises when we aim to identify all Inds: We have to test all attribute pairs and for each attribute pair we have to compare all of their values, which means a quadratic complexity in the number ...
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