[PDF] Top 20 Sensing Tree Automata as a Model of Syntactic Dependencies
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Sensing Tree Automata as a Model of Syntactic Dependencies
... current model proceeds left- to-right, we could have just as well gone right-to- left, inside out, or switched between those options based on the label of the ...derivation tree, all information is conveyed ... See full document
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A Study on Richer Syntactic Dependencies for Structured Language Modeling
... probabilistic model used for scoring a given parse tree (Charniak, 2000) (Collins, ...probabilistic dependencies in the CONSTRUC- TOR component of the SLM also showed better PPL and WER performance; ... See full document
8
Encoding syntactic dependencies by vector permutation
... A weak point of distributional approaches is that they are able to encode only one definition of con- text at a time. The type of semantics represented in WordSpace depends on the context. If we choose documents as ... See full document
9
Dependency Recurrent Neural Language Models for Sentence Completion
... language model that learns a recurrent neu- ral network (RNN) (Mikolov et ...the syntactic dependency parse of a sen- tence. Syntactic dependencies bring relevant con- texts closer to the word ... See full document
7
Improving the Cross Lingual Projection of Syntactic Dependencies
... Figure 4 illustrates the correlation between BLEU scores obtained on newstest data and LAS’s of the corresponding cross-lingual parsers. First of all, we can see that the MT performance of phrase- based and syntax-based ... See full document
9
Understanding Negation in Positive Terms Using Syntactic Dependencies
... Our goal is to create a corpus of negations and their positive interpretations. We put a strong emphasis on automation and simplicity. First, we determin- istically generate potential positive interpretations from verbal ... See full document
11
Using Syntactic Dependencies to Solve Coreferences
... This system builds on Bj¨orkelund and Nugues (2011)’s solver that we extended so that it can be applied to the three languages of the task: English, Chinese, and Arabic. We designed a new mention detection module that ... See full document
7
Joint Arc factored Parsing of Syntactic and Semantic Dependencies
... log-linear loss function following Koo et al. (2007), which trains probabilistic discriminative parsers. At test time, we used the probabilistic parsers to compute marginal probabilities p(h, m, l | x) , us- ing ... See full document
12
A Joint Model for Parsing Syntactic and Semantic Dependencies
... One of the potential drawbacks of our current approach is the need for a syntactic parsing pre- ceding the joint model. This previous parse is simply included to permit the extraction of syntax based ... See full document
5
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
... phrase-structure syntactic parsing (Matsuzaki, Miyao, and Tsujii 2005; Prescher 2005; Petrov et ...of syntactic structures are induced by decorating the non-terminal symbols in the syntactic trees ... See full document
50
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
... simple model, we can see that the latter outpeforms the fomer on the POS clus- tering task, but is worse on the semantic similar- ity ...head- tree contexts) of the input space in the case of the raw ... See full document
10
A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
... in syntactic tasks, such as statistical parsing and tagging, have recently paved the way to statistical learning techniques for levels of se- mantic representation, such as recovering the log- ical form of a ... See full document
5
A Formal Model for Plausible Dependencies in Lexicalized Tree Adjoining Grammar
... lexicalized tree adjoining grammar (LTAG), the operations of substitution and adjunction establish an asymmetric relation between two lexical items: The elementary tree for one item is substituted or ... See full document
9
A Unified Morpho Syntactic Scheme of Stanford Dependencies
... based model is trained on U-SD-labeled RR trees using Petrov et al. (2006). We use the lattice-based extension of Goldberg and Elhadad (2011) to per- form joint segmentation and parsing. We evalu- ate three input ... See full document
7
A Note on Fuzzy Tree Automata
... then tree au- tomaton is an important tool in computer science and have many applications in various areas of computer ...i) automata on infinite words and trees are the basis of model-checking for ... See full document
5
Lexico syntactic text simplification and compression with typed dependencies
... typically syntactic tree-to-tree transformations (Knight and Marcu, 2000; Galley and McKeown, 2007; Riezler et ...Their model is based on quasi-synchronous tree substitution grammar ... See full document
11
Discriminative Learning of Syntactic and Semantic Dependencies
... of syntactic parsing is to create a la- beled syntactic dependency parse y for input sen- tence x including words and their parts of speech ...parsing model that imple- ments maximum spanning ... See full document
5
A Discriminative Syntactic Model for Source Permutation via Tree Transduction
... As has been shown in the literature (Costa-juss`a and Fonollosa, 2006; Khalilov and Sima’an, 2010; Wang et al., 2007), source and target texts mono- tonization leads to a significant improvement in terms of translation ... See full document
9
Fuzzy $\omega$-Tree Automata
... fuzzy tree language recognized by a fuzzy Buchi tree automaton is also recognized by a fuzzy Muller tree ...fuzzy tree language recognized by a fuzzy Rabin tree automaton is also ... See full document
6
Multiplicative Representations for Unsupervised Semantic Role Induction
... FitzGerald et al., 2015). Closely related to our work, Woodsend and Lapata (2015) concatenate one hot features of dependency, POS-tag and a dis- tributed representation for head word and project the concatenation onto a ... See full document
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