[PDF] Top 20 Dependency Parsing by Inference over High recall Dependency Predictions
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Dependency Parsing by Inference over High recall Dependency Predictions
... Before introducing the two learning-based ap- proaches, we first describe a number of baselines, which provide simple reference scores giving some sense of the difficulty of each language. Next, we present two machine ... See full document
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Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing
... advantages over prior work: (1) we can incorporate arbitrary features for word segmentation and parsing; (2) we demonstrate that a lattice-based approach commonly used for other languages can be effectively ... See full document
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Greed is Good if Randomized: New Inference for Dependency Parsing
... Dependency parsing with high-order fea- tures results in a provably hard decoding ...greedy inference algorithm al- ready suffices for near optimal parsing: a) we analytically quantify ... See full document
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Effective Greedy Inference for Graph based Non Projective Dependency Parsing
... Exact inference in high-order graph-based non-projective dependency parsing is in- ...multilingual dependency pars- ...More- over, an ensemble method exploiting the joint power ... See full document
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Relaxed Marginal Inference and its Application to Dependency Parsing
... MAP inference on NLP ...marginal inference used in conditional likelihood training, pos- terior decoding, confidence estimation, and other ...second-order dependency parsing and observe a ... See full document
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Joint Inference for Heterogeneous Dependency Parsing
... joint inference scheme for heterogenous dependency ...the inference phase instead of using individual output in a pipelined way, such as stacked learning methods (Nivre and McDonald, 2008; Martins et ... See full document
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Turbo Parsers: Dependency Parsing by Approximate Variational Inference
... to dependency parsing: we present a general method for inference in factor graphs with hard constraints (§2), which extends some combinatorial factors considered by Smith and Eisner ... See full document
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Target Language Aware Constrained Inference for Cross lingual Dependency Parsing
... obtaining high-quality annota- tions for low-resource language tasks is challeng- ing, and this poses great challenges to process low-resource ...on high-resource languages ...2018), dependency ... See full document
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Exact Inference for Generative Probabilistic Non Projective Dependency Parsing
... has high coverage for the type of non-projective structures that appear in various ...non-projective dependency structures within the transition-based ... See full document
12
Generation as Dependency Parsing
... The parsing algorithm (Duchier, 2002) is stated in the framework of constraint programming (Koller and Niehren, 2000), a general approach to coping with combinatorial ... See full document
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Online Learning of Approximate Dependency Parsing Algorithms
... predicted dependency graph, and find the smallest-norm update to the weight vector w that ensures that the training graph outscores the predicted graph by a margin proportional to the loss of the predicted graph ... See full document
8
High-order Graph-based Neural Dependency Parsing
... on dynamic programming strategies (Eisner, 1996; McDonald et al., 2005; McDonald and Pereira, 2006). In this recent decade, extensions have been made to use high-order factors (Carreras, 2007; Koo and Collins, ... See full document
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Dependency Language Models for Transition based Dependency Parsing
... In recent years, using unlabeled data to improve natural language parsing has seen a surge of in- terest as the data can easy and inexpensively be obtained, cf. (Sarkar, 2001; Steedman et al., 2003; McClosky et ... See full document
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On the Role of Morphosyntactic Features in Hindi Dependency Parsing
... Hindi dependency parsing, building on the state-of-the-art results of Ambati et ...Hindi dependency parsing, but we also want to improve the overall parsing ...overall parsing ... See full document
9
Dependency Parsing with Short Dependency Relations in Unlabeled Data
... effective dependency parsing approach of incorporating short de- pendency information from unlabeled ...deterministic dependency parser, which can provide relatively high performance for short ... See full document
7
Dependency Parsing for Identifying Hungarian Light Verb Constructions
... a dependency parser to carry out the ...a dependency parser for the dedicated task of identifying ...Szeged Dependency Treebank annotated for LVCs (Vincze and Csirik, 2010) as well as ... See full document
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Towards Minimal Recursion Semantics over Bulgarian Dependency Parsing
... the dependency tagset are very general (the comp relation, for ...the dependency relation between ...the dependency trees (see section ...another dependency schema for Bulgarian is dis- cussed ... See full document
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Exploring Morphosyntactic Annotation over a Spanish Corpus for Dependency Parsing
... such important discussion (Tsarfaty et al., 2010). For instance, determiners and adjectives agree in number and gender with the governing noun, finite verbs in number and person with their subjects; more complex types of ... See full document
10
Scene Graph Parsing as Dependency Parsing
... of parsing structured knowledge graphs from textual de- ...(generic dependency parsing followed by sim- ple post-processing) into one, enabling end-to- end ...neural dependency parser achieve ... See full document
11
Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection
... We used two different sources of language data for our experiment. The first was a set of guideline sentences for the Hindi treebank (Bhatt et al., 2009). These sentences were provided both in the IGT format, as well as ... See full document
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