[PDF] Top 20 The Effect of Higher Order Dependency Features in Discriminative Phrase Structure Parsing
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The Effect of Higher Order Dependency Features in Discriminative Phrase Structure Parsing
... Compared to the faster and more psycholog- ically plausible shift-reduce parsers (Zhang & Nivre, 2011; Zhang & Clark, 2011), cube decod- ing is a computationally expensive method. But, cube decoding provides a ... See full document
7
Task oriented Evaluation of Syntactic Parsers and Their Representations
... frameworks: dependency parsing, phrase structure parsing, and deep pars- ...statistical features in a machine learning classifier (Yakushiji et ...syntactic parsing in ... See full document
9
Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation
... word order. Dependency pars- ing has been shown to improve NLP systems in certain languages and in many cases is considered the state of the art in the ...field. Dependency pars- ing made many ... See full document
6
Generative Constituent Parsing and Discriminative Dependency Reranking: Experiments on English and French
... this approach lies in its complexity. The constraints can, theoretically, range over any aspect of the final structures, which prevents from using efficient dy- namic programming techniques when searching for a global ... See full document
11
Fourth Order Dependency Parsing
... on dependency parsing (Buchholz and Marsi, 2006; Nivre et ...graph-based parsing models have achieved state- of-the-art accuracy for a wide range of ...Graph-based dependency parsing ... See full document
12
Generalized Higher Order Dependency Parsing with Cube Pruning
... hierarchical phrase-based model of Chiang (2007), where |x| is the input sentence ...n-gram features breaks the monotonic property of the underlying ... See full document
12
Features for Phrase Structure Reranking from Dependency Parses
... Both phrase-structure and dependency parsers have developed a lot in the last decade (Nivre et ...two parsing tasks which has implicated a di- vergence between techniques used (and a grow- ing ... See full document
6
Online Large Margin Training of Dependency Parsers
... for phrase structure ...linear parsing model trained with an aver- aged perceptron ...parse features with sufficient history, their parsing algo- rithm must prune heuristically most of ... See full document
8
Stacking of Dependency and Phrase Structure Parsers
... the dependency structures help phrase structure parsing? We followed the methodology of contribution analysis for phrase structure parses and we manually investigated the ... See full document
18
Multilingual discriminative lexicalized phrase structure parsing
... morphological features such as case are key for identifying the structure of free word order ...morphological features specified in Fig- ure 2 (right) predicted by the C RF tagger ... See full document
10
An Empirical Study on the Effect of Morphological and Lexical Features in Persian Dependency Parsing
... Person and number play a role in constraining syntactic structure. Verbs usually agree with sub- ject in person and number (Shamsfard, 2011). This agreement is useful feature to detect subject of sen- tence. for ... See full document
11
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
Towards a Computational History of the ACL: 1980 2008
... Our major result is to elucidate the many ways in which the government-sponsored bakeoffs and workshops had a transformative effect on the field in the early 1990’s. It has long been understood that the government ... See full document
9
Forest Reranking: Discriminative Parsing with Non Local Features
... (heap in Pseudocode 3) is used to hold the candi- dates for the next-best derivation, which is initial- ized to the set of best derivations along each hyper- edge (lines 7 to 9). Then at each iteration, we pop the best ... See full document
9
Parsing Noun Phrase Structure with CCG
... The F-score drops by 0.31% in our new version of the corpus. However, this comparison is not entirely fair, as the original CCGbank test data does not in- clude the NP structure that the NP corrected model is ... See full document
9
Linguistic features in data driven dependency parsing
... the effect of the automatic fea- tures is generally lower than their gold standard ...automatic features im- prove significantly on the NoFeats ...specific dependency relations. The morphological ... See full document
8
Lithuanian Dependency Parsing with Rich Morphological Features
... All dependency relations are represented by arrows pointing from the head to the dependent, the labels above indicate the dependency ...this dependency relation has the SBJ ... See full document
10
Improving Dependency Parsing with Fined Grained Features
... Key to the success of our approach is the use of HowNet hierarchical semantic knowledge to gen- erate the fine-grained features to assist the depen- dency parsers. The feature sets we used in this paper are ... See full document
9
On the Role of Morphosyntactic Features in Hindi Dependency Parsing
... morphological features like gender, number and ...these features did not improve the overall ...these features were less than the best results with ...agreement features have also been noted ... See full document
9
Practical Parsing of Generalized Phrase Structure Grammars
... Note that, in any given grammar, the depth of the tree induced by a category valued feature is finite; further- more, the range o f possible values of a category valued feature is known [r] ... See full document
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