[PDF] Top 20 The Importance of Supertagging for Wide Coverage CCG Parsing
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The Importance of Supertagging for Wide Coverage CCG Parsing
... We follow Clark (2002) in ignoring the features based on the previously assigned categories; there- fore every tagging decision is local and the Viterbi algorithm is not required. This simple approach has the advantage ... See full document
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Initial Explorations of CCG Supertagging for Universal Dependency Parsing
... curate CCG parsers have been introduced in the ...the CCG- Bank (Hockenmaier and Steedman, 2002) that is created by inducing a CCG Grammar from the Penn Treebank (Marcus et ...The CCG ... See full document
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Creating a CCGbank and a Wide Coverage CCG Lexicon for German
... Negra is also provided with a “Penn Treebank”- style representation, which uses flat phrase struc- ture trees instead of the crossing dependency structures in the original corpus. This version has been used by Cahill et ... See full document
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Probabilistic Disambiguation Models for Wide Coverage HPSG Parsing
... Clark and Curran (2004a) described a method of reducing the cost of parsing a training treebank in the context of CCG parsing. They first assigned to each word a small number of supertags, which cor- ... See full document
8
Wide Coverage Semantic Representations from a CCG Parser
... complete coverage of the lexicon, and mistakes due to the parsing ...statistical parsing technology will further improve the accuracy of the parser, and we will fur- ther develop the semantic ... See full document
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Wide Coverage Neural A* Parsing for Minimalist Grammars
... realistic parsing tasks (see M¨uller 2016 for ...a wide- coverage statistical parser trained in a supervised fashion and exhibiting performance that is compa- rable with other state-of-the-art ... See full document
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Broad coverage CCG Semantic Parsing with AMR
... use CCG to construct lambda-calculus representations of the compositional aspects of ...AMR. CCG is designed to capture a wide range of linguistic phenomena, such as coordination and long-distance ... See full document
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Integrating Multiple Dependency Corpora for Inducing Wide coverage Japanese CCG Resources
... dency parsing (Kudo and Matsumoto, ...22,820 CCG derivations from 24,283 sen- tences (in the training set), resulting in the to- tal conversion rate of ... See full document
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Wide Coverage Efficient Statistical Parsing with CCG and Log Linear Models
... of CCG has implications for the engineering of a wide- coverage ...to parsing can produce an extremely efficient ...to supertagging as almost ... See full document
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Improved CCG Parsing with Semi supervised Supertagging
... art CCG parser can be enhanced, by pre- dicting lexical categories using unsupervised vector-space embeddings of ...dependency parsing results over the standard supervised CCG parser when evalu- ated ... See full document
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Efficient CCG Parsing: A* versus Adaptive Supertagging
... efficient parsing of CCG is to first prune the set of lexi- cal categories considered for each word, using the output of a supertagger, a sequence model over these categories (Bangalore and Joshi, 1999; ... See full document
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Log Linear Models for Wide Coverage CCG Parsing
... Log-linear models have previously been ap- plied to statistical parsing (Johnson et al., 1999; Toutanova et al., 2002; Riezler et al., 2002; Os- borne, 2000). Typically, these approaches have enu- merated all ... See full document
8
Building compositional semantics and higher order inference system for a wide coverage Japanese CCG parser
... based on Japanese CCGbank (Uematsu et al., 2015). 2. Semantic parsing CCG derivation trees are compositionally mapped onto semantic representa- tions in HOL. The compositional mapping is imple- mented via ... See full document
7
Supertagging With LSTMs
... and supertagging have drawn significant attention from the commu- ...semantic parsing. Supertagging (Clark, 2002; Bangalore and Joshi, 2010) assigns complex syntactic labels to words to enable fast ... See full document
6
On the Complexity of CCG Parsing
... axis). For comparison, we also include in the picture some formalisms generating the context-free languages. We thus start at the leftmost column of the grid with the class of context-free grammar and the class of ID/LP ... See full document
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LSTM CCG Parsing
... during parsing are specified by the selection of lexical entries for words (see Fig- ure 1 for ...a supertagging model, to select possi- ble lexical categories, and a bi-lexical dependency model, to resolve ... See full document
11
Shift Reduce CCG Parsing
... during parsing, each candidate item from the agenda is extended in all possible ways by apply- ing one action according to the grammar, and a num- ber of new candidate items are ... See full document
10
Stacking or Supertagging for Dependency Parsing – What’s the Difference?
... and supertagging consistently improve the parsing performance of the Level 1 ...the parsing accuracies to the same extent, with the average improvements about ...For supertagging, our results ... See full document
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An Incremental Algorithm for Transition based CCG Parsing
... Our system is monotonic in the sense that the set of dependency relationships grows monotonically during the parsing process. Our algorithm gives derivations almost as incremental as Hassan et al. (2009) but ... See full document
11
Parsing Noun Phrase Structure with CCG
... One problem with the evaluation in the previous sec- tion, is that the original CCGbank is not expected to recover internal NP structure, making its task eas- ier and inflating its performance. To remove this variable, ... See full document
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