[PDF] Top 20 Linguistic features in data driven dependency parsing
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Linguistic features in data driven dependency parsing
... individual features reveal the influence of these features on argument ...verbal features, finiteness and voice, have a positive effect on the verbal depen- dency relations, as well as an overall ... See full document
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Typological Features for Multilingual Delexicalised Dependency Parsing
... helps decreasing the noise introduced by mixing languages in Σ by “explaining” some apparently contradictory information in the data through the use of linguistic features encoded in the WALS. The ... See full document
12
Data driven, PCFG based and Pseudo PCFG based Models for Chinese Dependency Parsing
... defining linguistic rules to express precisely generic grammatical regularities, a con- stituency grammar can be applied to arrange sen- tences into a hierarchy of nested phrases, which de- termines constructions ... See full document
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Improving Semantic Dependency Parsing with Syntactic Features
... We now explain how to read the graphs with the re- sults of our two-dimensional error analysis for the DM parsing models. Figure 2a shows the outcome of this analysis when the model is informed by syntactic ... See full document
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Multilingual Dependency Parsing Using Global Features
... global features, the accuracy was improved in all the cases except for Turkish with the Eisner algorithm (Table ...global features were used in these languages, the depen- dency accuracy for tokens whose ... See full document
5
Cross Domain Dependency Parsing Using a Deep Linguistic Grammar
... testing data to demonstrate that the size of the feature model can be reduced via excluding “domain-dependent” features, while the performance could still be pre- ...training data is heterogeneous ... See full document
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Improving Dependency Parsing with Fined Grained Features
... different data split: files 1-815 and files 1001-1136 for training, files 816-885 and files 1137-1147 for test, files 886-931 and 1148-1151 for ...this data set shown in Table ...transition-based ... See full document
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On the Role of Morphosyntactic Features in Hindi Dependency Parsing
... morphological features like gender, number and ...these features did not improve the overall ...cross-validated data while using these features were less than the best results with ... See full document
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Lithuanian Dependency Parsing with Rich Morphological Features
... added linguistic diversity has high- lighted the fact that typological differences between languages lead to new challenges, both in parsing technology and treebank ...lower parsing accu- racy, ... See full document
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Shallow Parsing with PoS Taggers and Linguistic Features
... different data-driven PoS taggers can learn the whole hierarchical constituent structure of the word sequences, and to examine what effect differ- ent kinds of linguistic information included in the ... See full document
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Dependency Parsing with Short Dependency Relations in Unlabeled Data
... We now look at the improvement relative to depen- dency length as Figure 5 shows. From the figure, we found that our method provided better performance when dependency lengths are less than 13. Espe- cially, we had ... See full document
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Zero resource Dependency Parsing: Boosting Delexicalized Cross lingual Transfer with Linguistic Knowledge
... The need to automatically process an increasing number of languages has made obvious the extreme de- pendency of standard development pipelines on in-domain, annotated resources that are required to train efficient ... See full document
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Semi supervised Dependency Parsing using Bilexical Contextual Features from Auto Parsed Data
... derived features improve the accuracy of a first-order dependency parser by ...Brown-clusters features were achieved only by adding to the cluster-based features, not by re- placing ...our ... See full document
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Utilizing Dependency Language Models for Graph based Dependency Parsing Models
... notated data and represented new features based on the clusters for dependency parsing ...of data and used them as the additional features to im- prove dependency ...the ... See full document
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Unsupervised Dependency Parsing using Reducibility and Fertility features
... English development data for checking functional- ity of the individual models and for optimizing hy- perparameter values. The best configuration of the parser achieved on English was then used for pars- ing all ... See full document
6
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
... logical features (gender, number, case, tense, mood, person, ...logical features ⟩ triplets, which we query using ⟨ word, UPoS ⟩ pair resulting in one or more ...morphological features returned by ... See full document
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Text level Discourse Parsing with Rich Linguistic Features
... unseen features occur in the test data, resulting in poor test ...unlabeled data as a basis for feature vector extension to alleviate such ... See full document
9
Graph Transformations in Data Driven Dependency Parsing
... improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based ...in data-driven dependency ...Prague Dependency Treebank show ... See full document
8
Importance of Linguistic Constraints in Statistical Dependency Parsing
... We plan to evaluate our approaches on all the data-sets of CoNLL-X and CoNLL-2007 shared tasks using Malt. Settings of MST parser are available only for CoNLL-X shared task data sets. So, we plan to ... See full document
6
Characterizing the Errors of Data Driven Dependency Parsing Models
... longer distances, while nouns and pronouns are typ- ically attached to verbs and therefore occur lower in the graph, with shorter distances. Empirically, ad- verbs resemble verbs and conjunctions with respect to root ... See full document
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