Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020382207> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2020382207 endingPage "227" @default.
- W2020382207 startingPage "195" @default.
- W2020382207 abstract "This paper presents a study of using neural probabilistic models in a syntactic based language model. The neural probabilistic model makes use of a distributed representation of the items in the conditioning history, and is powerful in capturing long dependencies. Employing neural network based models in the syntactic based language model enables it to use efficiently the large amount of information available in a syntactic parse in estimating the next word in a string. Several scenarios of integrating neural networks in the syntactic based language model are presented, accompanied by the derivation of the training procedures involved. Experiments on the UPenn Treebank and the Wall Street Journal corpus show significant improvements in perplexity and word error rate over the baseline SLM. Furthermore, comparisons with the standard and neural net based N-gram models with arbitrarily long contexts show that the syntactic information is in fact very helpful in estimating the word string probability. Overall, our neural syntactic based model achieves the best published results in perplexity and WER for the given data sets." @default.
- W2020382207 created "2016-06-24" @default.
- W2020382207 creator A5003574076 @default.
- W2020382207 creator A5080675607 @default.
- W2020382207 date "2005-06-02" @default.
- W2020382207 modified "2023-10-02" @default.
- W2020382207 title "A Neural Syntactic Language Model" @default.
- W2020382207 cites W180232814 @default.
- W2020382207 cites W1988425770 @default.
- W2020382207 cites W1989705153 @default.
- W2020382207 cites W2024490156 @default.
- W2020382207 cites W2075201173 @default.
- W2020382207 cites W2110882317 @default.
- W2020382207 cites W2111305191 @default.
- W2020382207 cites W2118170533 @default.
- W2020382207 cites W2118373646 @default.
- W2020382207 cites W2145777524 @default.
- W2020382207 cites W2147152072 @default.
- W2020382207 cites W2155693943 @default.
- W2020382207 cites W2158195707 @default.
- W2020382207 cites W3140710042 @default.
- W2020382207 cites W4238619744 @default.
- W2020382207 cites W4246367117 @default.
- W2020382207 cites W48812538 @default.
- W2020382207 cites W2121651659 @default.
- W2020382207 doi "https://doi.org/10.1007/s10994-005-0916-y" @default.
- W2020382207 hasPublicationYear "2005" @default.
- W2020382207 type Work @default.
- W2020382207 sameAs 2020382207 @default.
- W2020382207 citedByCount "68" @default.
- W2020382207 countsByYear W20203822072012 @default.
- W2020382207 countsByYear W20203822072013 @default.
- W2020382207 countsByYear W20203822072014 @default.
- W2020382207 countsByYear W20203822072015 @default.
- W2020382207 countsByYear W20203822072016 @default.
- W2020382207 countsByYear W20203822072017 @default.
- W2020382207 countsByYear W20203822072018 @default.
- W2020382207 countsByYear W20203822072019 @default.
- W2020382207 countsByYear W20203822072020 @default.
- W2020382207 countsByYear W20203822072023 @default.
- W2020382207 crossrefType "journal-article" @default.
- W2020382207 hasAuthorship W2020382207A5003574076 @default.
- W2020382207 hasAuthorship W2020382207A5080675607 @default.
- W2020382207 hasBestOaLocation W20203822071 @default.
- W2020382207 hasConcept C100279451 @default.
- W2020382207 hasConcept C137293760 @default.
- W2020382207 hasConcept C138885662 @default.
- W2020382207 hasConcept C154945302 @default.
- W2020382207 hasConcept C157486923 @default.
- W2020382207 hasConcept C186644900 @default.
- W2020382207 hasConcept C204321447 @default.
- W2020382207 hasConcept C206134035 @default.
- W2020382207 hasConcept C33923547 @default.
- W2020382207 hasConcept C37914503 @default.
- W2020382207 hasConcept C40969351 @default.
- W2020382207 hasConcept C41008148 @default.
- W2020382207 hasConcept C41895202 @default.
- W2020382207 hasConcept C49937458 @default.
- W2020382207 hasConcept C50644808 @default.
- W2020382207 hasConcept C90805587 @default.
- W2020382207 hasConceptScore W2020382207C100279451 @default.
- W2020382207 hasConceptScore W2020382207C137293760 @default.
- W2020382207 hasConceptScore W2020382207C138885662 @default.
- W2020382207 hasConceptScore W2020382207C154945302 @default.
- W2020382207 hasConceptScore W2020382207C157486923 @default.
- W2020382207 hasConceptScore W2020382207C186644900 @default.
- W2020382207 hasConceptScore W2020382207C204321447 @default.
- W2020382207 hasConceptScore W2020382207C206134035 @default.
- W2020382207 hasConceptScore W2020382207C33923547 @default.
- W2020382207 hasConceptScore W2020382207C37914503 @default.
- W2020382207 hasConceptScore W2020382207C40969351 @default.
- W2020382207 hasConceptScore W2020382207C41008148 @default.
- W2020382207 hasConceptScore W2020382207C41895202 @default.
- W2020382207 hasConceptScore W2020382207C49937458 @default.
- W2020382207 hasConceptScore W2020382207C50644808 @default.
- W2020382207 hasConceptScore W2020382207C90805587 @default.
- W2020382207 hasIssue "1-3" @default.
- W2020382207 hasLocation W20203822071 @default.
- W2020382207 hasOpenAccess W2020382207 @default.
- W2020382207 hasPrimaryLocation W20203822071 @default.
- W2020382207 hasRelatedWork W1818857488 @default.
- W2020382207 hasRelatedWork W2098009818 @default.
- W2020382207 hasRelatedWork W2167980204 @default.
- W2020382207 hasRelatedWork W2598933668 @default.
- W2020382207 hasRelatedWork W2789919619 @default.
- W2020382207 hasRelatedWork W2953263167 @default.
- W2020382207 hasRelatedWork W3025873536 @default.
- W2020382207 hasRelatedWork W3034552719 @default.
- W2020382207 hasRelatedWork W3211792420 @default.
- W2020382207 hasRelatedWork W2121651659 @default.
- W2020382207 hasVolume "60" @default.
- W2020382207 isParatext "false" @default.
- W2020382207 isRetracted "false" @default.
- W2020382207 magId "2020382207" @default.
- W2020382207 workType "article" @default.