[PDF] Top 20 Transition Based Chinese AMR Parsing
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Transition Based Chinese AMR Parsing
... the Chinese AMR Bank and split the data according to their original ...the Chinese Treebank where words are manu- ally segmented, we will simply use the gold seg- mentation in our ...whole ... See full document
6
Joint POS Tagging and Transition based Constituent Parsing in Chinese with Non local Features
... Assuming an input sentence contains n words, in order to reach a terminal state, the initial state re- quires n sh-x actions to consume all words in β, and n − 1 rl/rr-x actions to construct a com- plete parse tree by ... See full document
10
Efficient Disfluency Detection with Transition based Parsing
... approach based on right-to-left transition- based parsing is proposed, which can effi- ciently identify disfluencies and keep ASR outputs ...notated Chinese data and achieve a sig- ... See full document
9
Punctuation Prediction with Transition based Parsing
... Sentence boundary detection and punctuation pre- diction have been extensively studied in the speech processing field and have attracted re- search interest in the natural language processing field as well. Most previous ... See full document
9
Transition based Neural Constituent Parsing
... Constituent parsing is typically modeled by a chart-based algorithm under prob- abilistic context-free grammars or by a transition-based algorithm with rich fea- ...in ... See full document
11
AMR Parsing using Stack LSTMs
... language parsing (Yamada and Matsumoto, 2003; Nivre, 2003, 2004, 2008) are formulated as a series of decisions that read words from a buffer and incre- mentally combine them to form syntactic struc- tures in a ... See full document
7
Transition Based Dependency Parsing with Heuristic Backtracking
... in transition-based parsing: heuris- tic ...of transition decisions as a heuristic to guide the starting points of the ...Stack-LSTM transition-based parser, the parser shows an ... See full document
6
Boosting Transition based AMR Parsing with Refined Actions and Auxiliary Analyzers
... Current AMR parsers are in their early stages of development, and their features are not yet fully ...the AMR makes heavy use of the framesets and semantic role labels used in the Proposition Bank (Palmer ... See full document
6
Transition Based Parsing for Deep Dependency Structures
... data-driven, transition-based approach, which has achieved great success for tree parsing, to build general dependency ...new transition systems that can generate arbitrary directed graphs in ... See full document
37
Automatic Accuracy Prediction for AMR Parsing
... of AMR, many approaches to AMR parsing have been pro- posed: graph-based pipeline systems which rely on an alignment step (Flanigan et ...or transition-based parsers relying on ... See full document
12
A Transition Based Algorithm for Unrestricted AMR Parsing
... mantic representation language to map the mean- ing of English sentences into directed, cycled, la- beled graphs (Banarescu et al., 2013). Graph ver- tices are concepts inferred from words. The con- cepts can be ... See full document
8
A Transition based Algorithm for AMR Parsing
... small AMR training ...the AMR graph ...For AMR, the head is an abstract con- cept signaled by one of the coordinating conjunc- ...the AMR Annotation Corpus grows bigger, the parsing ... See full document
10
Rewarding Smatch: Transition Based AMR Parsing with Reinforcement Learning
... representations. AMR parsing thus requires solving several natural lan- guage processing tasks; named entity recognition, word sense disambiguation and joint syntactic and semantic role ...labeling. ... See full document
7
Revisiting Supertagging and Parsing: How to Use Supertags in Transition Based Parsing
... in transition- based parsing is that exploiting n-best supertag in- put is difficult, and given the large number of su- pertags, supertagging is hard and the 1-best su- pertag is not good enough to ... See full document
8
Addressing the Data Sparsity Issue in Neural AMR Parsing
... of-the-art system. However, the best perform- ing system CAMR uses a dependency structure as a starting point, where dependency parsing has achieved high accuracy recently and can be trained on larger corpora. ... See full document
10
A Transition based System for Universal Dependency Parsing
... dependency parsing, where transition- based models are trained for different tree- ...predict based on trans- fer learning from other related ... See full document
7
Neural AMR: Sequence to Sequence Models for Parsing and Generation
... the AMR graph and replace the model’s output with the most fre- quent mapping observed during training for the entity ...the AMR graph. Anonymizing Dates For dates in AMR graphs, we use separate ... See full document
12
Transition based dependency parsing as latent variable constituent parsing
... the parsing stack, which holds a word previously read from the input sentence, can be transferred back to the buffer, and thereby input positions can be effectively swapped, and non-projective struc- tures ... See full document
11
Transition based dependency parsing as latent variable constituent parsing
... dependency parsing has a strong emphasis on parsing ...constituent parsing (Lavie and Tomita, 1993; Goodman, 1997; Cara- ballo and Charniak, ...Deterministic parsing algorithms for constituent ... See full document
11
Multi Task Semantic Dependency Parsing with Policy Gradient for Learning Easy First Strategies
... DM parsing of the sentence “The man went back and spoke to the desk ...final parsing state, depending on the orders of creating the ...IPS parsing, some arcs are easy to pre- dict; others are very ... See full document
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