[PDF] Top 20 The Virginia Tech System at CoNLL 2016 Shared Task on Shallow Discourse Parsing
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The Virginia Tech System at CoNLL 2016 Shared Task on Shallow Discourse Parsing
... the shared task was adapted from the Penn Discourse Treebank ...Our system was trained on the training partition and tuned using the development ... See full document
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SDP JAIST: A Shallow Discourse Parsing system @ CoNLL 2016 Shared Task
... Our participating system of this year is an im- provement of the last year system. It also has two main phases including recognizing arguments and connective words in the first phase then pre- dicting the ... See full document
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IIT (BHU) Submission on the CoNLL 2016 Shared Task: Shallow Discourse Parsing using Semantic Lexicons
... updated system on development, test and blind datasets. In the up- dated system, we fixed a small bug in argument index alignment code which doubled our overall parser F1 score on the development ... See full document
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CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
... 2015 shared task (Xue et ...winning system sub- mitted by the East China Normal University (ECNU) (Wang and Lan, ...ECNU system receiving the highest score on both the WSJ development and test ... See full document
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SoNLP DP System for ConLL 2016 English Shallow Discourse Parsing
... glish shallow discourse parsing sys- tem from the natural language process- ing (NLP) group of Soochow university (SoNLP-DP) to the CoNLL-2016 shared ...Our System ... See full document
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SoNLP DP System for ConLL 2016 Chinese Shallow Discourse Parsing
... the discourse relations ...course parsing is very different from the one to English discourse parsing (Lin et ...non-explicit discourse relations in English by looking for two ... See full document
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Shallow Discourse Parsing Using Convolutional Neural Network
... a discourse parsing system for our participation in the CoNLL 2016 Shared ...plementary task: Sense Classification, es- pecially the Non-Explicit one which is the ... See full document
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Two End to end Shallow Discourse Parsers for English and Chinese in CoNLL 2016 Shared Task
... two discourse parsers (i.e., English discourse parser and Chinese discourse parser) for sub- mission to CoNLL-2016 shared task on Shallow Discourse ... See full document
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UniTN End to End Discourse Parser for CoNLL 2016 Shared Task
... to CoNLL 2016 Shared Task on Shallow Discourse ...the system of (Stepanov et al., 2015). We have described the discourse parsing architecture and models for ... See full document
7
The SoNLP DP System in the CoNLL 2015 shared Task
... course parsing system of the natural language group of Soochow University (SoNLP-DP) to the CoNLL 2015 shared ...Our System classifies discourse re- lations into explicit and ... See full document
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Discourse Relation Sense Classification Systems for CoNLL 2016 Shared Task
... model, discourse relation sense disambiguation, which is a deep semantic analysis problem, is always conducted by mod- eling large scale shallow linguistic ...partial shallow semantic fea- tures ... See full document
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The CoNLL 2015 Shared Task on Shallow Discourse Parsing
... For discourse connective and argument extraction, token level features extracted from a fixed window centered on the target word token are generally used, and so are features extracted from syntactic ...labeling ... See full document
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The University of Illinois System in the CoNLL 2013 Shared Task
... the task complexity (Gamon, ...the shared task training data to replace the prior parameters of the model (see Rozovskaya and Roth, 2011 for more ...The task includes mistakes that cover 36 ... See full document
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The First Shared Task on Discourse Representation Structure Parsing
... LSTM generates a DAG (Directed Acyclic Graph) as a sequence of fragments from a graph grammar. These fragments are delexicalized; predicate names, synset and information on whether the predicate is presupposed or not are ... See full document
15
Multilingual Dependency based Syntactic and Semantic Parsing
... The probability of each word to be a semantic role for a predicate is given by the SRC stage. The re- sults generated by selecting the roles with the largest probabilities, however, do not satisfy some con- strains. As ... See full document
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Robust Non Explicit Neural Discourse Parser in English and Chinese
... Our past studies have indicated that feedforward neural networks outperform more complicated models such as long-short term memory models and perform comparably with systems with tradi- tional surface features in this ... See full document
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Hybrid Multilingual Parsing with HPSG for SRL
... syntactic parsing and semantic role labeling system participated in both closed and open challenge of the (Joint) CoNLL 2009 Shared ...HPSG parsing results in the semantic role labeling ... See full document
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Parsing Syntactic and Semantic Dependencies with Two Single Stage Maximum Entropy Models
... our system to carry out the joint parsing of syntactic and se- mantic dependencies for our participation in the shared task of ...syntactic parsing and se- mantic parsing can be ... See full document
5
Universal Joint Morph Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task
... 2014) shared tasks with two key principles: (i) the POS tags, morphological properties, and dependency labels are unified, with enforceable annotation guidelines and (ii) corpora text is provided via a two-level ... See full document
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Comparing and Combining Finite State and Context Free Parsers
... the system outputs, which we call unweighted intersection, is the sim- plest kind of ‘rovered’ system, which restricts the set of shallow parse candidates to the intersection of the sets output by ... See full document
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