J13-1008 Last , we include an appendix with further explorations of PERSON feature engineering , " binning " of Arabic number constructions according to their complex syntactic patterns , and embedding useful morphological features in the POS tag set .
D15-1031 We study the problem of jointly embedding a knowledge base and a text corpus .
C82-2022 - I01 - 1.2 , Another problem is proposed by the structural ambi - 8 ~ ity of sequences of PP 's , for which both the " embedding " and the " same-level " hypotheses are presented !
D15-1191 We consider the problem of embedding knowledge graphs ( KGs ) into continuous vector spaces .
W05-0627 Only the constituents with the largest probability among embedding ones are kept .
P14-1011 After training , the model learns how to embed each phrase semantically in two languages and also learns how to transform semantic embedding space in one language to the other .
C86-1088 The embedding rule for = > - conditions requires , roughly speaking , that every proper embedding for the antecedent sub-DRS can be properly extended to the consequent sub-DRS .
J10-3010 Our extrinsic evaluation is done by embedding the expansion systems into a real-world search engine , and comparing the two systems based on the search results that are triggered by the respective query expansions .
P15-1107 We introduce an LSTM model that hierarchically builds an embedding for a paragraph from embeddings for sentences and words , then decodes this embedding to reconstruct the original paragraph .
H91-1024 When one is writing to one 's superiors , there is , for example , much more embedding of requests in hypotheticals .
J80-1001 ATN 's have the advantage of being a class of automata into which ordinary context-free phrase structure and " augmented " phrase structure grammars have a straightforward embedding , but which permit various transformations to be performed to produce grammars that can be more efficient than the original .
D14-1062 By embedding our latent domain phrase model in a sentence-level model and training the two in tandem , we are able to adapt all core translation components together -- phrase , lexical and reordering .
J09-1002 Following these TransType ideas , the innovative embedding proposed here consists in using a complete MT system to produce full target sentence hypotheses , or portions thereof , which can be accepted or amended by a human translator .
C80-1009 As he points out , this is a simple and natural way of treating any construction capable of unlimited embedding .
D15-1205 Compositional embedding models build a representation ( or embedding ) for a linguistic structure based on its component word embeddings .
D15-1036 Different evaluations result in different orderings of embedding methods , calling into question the common assumption that there is one single optimal vector representation .
D15-1054 We identify several potential weaknesses of the plain application of conventional word embedding methodologies for ad click prediction .
P15-1125 The novel embedding model associates each category node of the hierarchy with a distance metric .
P15-1009 The key idea of SSE is to take full advantage of additional semantic information and enforce the embedding space to be semantically smooth , i.e. , entities belonging to the same semantic category will lie close to each other in the embedding space .
J82-3001 The intuitive notion of " embedding a linguistic theory into a model of language use " as it is generally construed is much stronger than this , since it implies that the parsing system follows some ( perhaps all ) of the same operating principles as the linguistic system , and makes reference in its operation to the same system of rules .
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