| . Several extensions of this basic idea | are | being discussed and/or evaluated : Similar | #132 Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can define subsets of larger database and detect those automatically which is shown on a large database of TV shows. | ||
| </term> which all Communicator participants | are | using . In this presentation , we describe | #250 To support engaging human users in robust, mixed-initiative speech dialogue interactions which reach beyond current capabilities in dialogue systems, the DARPA Communicator program [1] is funding the development of a distributed message-passing infrastructure for dialogue systems which all Communicator participants are using. | ||
| several field exercises with the Marines and | are | currently developing applications of this | #900 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology in new domains. | ||
| configuration , <term> bag-of-words methods </term> | are | shown to be equivalent to <term> segment | #1568 Further,in their optimum configuration, bag-of-words methodsare shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster. | ||
| also provide evidence that our findings | are | scalable . The theoretical study of the | #1594 We also provide evidence that our findings are scalable. | ||
| parser </term> for a <term> language L </term> | are | directed by a guide which uses the shared | #1712 The non-deterministic parsing choices of the main parser for a language Lare directed by a guide which uses the shared derivation forest output by a prior RCL parser for a suitable superset of L . | ||
| <term> wide coverage English grammar </term> | are | given . While <term> paraphrasing </term> is | #1751 The results of a practical evaluation of this method on a wide coverage English grammarare given. | ||
| </term> improve , even larger improvements | are | possible . We provide a <term> logical definition | #1924 The value of this approach is that as the operational semantics of natural language applications improve, even larger improvements are possible. | ||
| of <term> Minimalist grammars </term> , that | are | <term> Stabler 's formalization </term> of <term> | #1937 We provide a logical definition of Minimalist grammars, that are Stabler's formalization of Chomsky's minimalist program. | ||
| </term> . These <term> models </term> , which | are | built from <term> shallow linguistic features | #2148 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals. | ||
| linguistic features </term> of questions , | are | employed to predict target variables which | #2157 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals. | ||
| </term> of <term> conversational speech </term> | are | limited . In this paper , we show how <term> | #3026 Sources of training data suitable for language modeling of conversational speechare limited. | ||
| </term> . The <term> units of translation </term> | are | <term> blocks </term> - pairs of <term> phrases | #3422 The units of translationare blocks - pairs of phrases. | ||
| <term> training </term> , the <term> blocks </term> | are | learned from <term> source interval projections | #3450 During training, the blocksare learned from source interval projections using an underlying word alignment. | ||
| </term> . Moreover , the <term> models </term> | are | automatically derived by <term> decision | #4357 Moreover, the modelsare automatically derived by decision tree learning using real dialogue data collected by the system. | ||
| </term> based on the <term> user modeling </term> | are | implemented in Kyoto city bus information | #4389 Dialogue strategies based on the user modelingare implemented in Kyoto city bus information system that has been developed at our laboratory. | ||
| English-Chinese parallel corpora </term> , which | are | then used for disambiguating the <term> nouns | #4843 In this paper, we evaluate an approach to automatically acquire sense-tagged training data from English-Chinese parallel corpora, which are then used for disambiguating the nouns in the SENSEVAL-2 English lexical sample task. | ||
| The backbone of the <term> annotation </term> | are | <term> semantic roles </term> in the <term> frame | #4970 The backbone of the annotationare semantic roles in the frame semantics paradigm. | ||
| summarization </term> , where the input documents | are | in Arabic , and the output summary is in | #5190 We consider the case of multi-document summarization, where the input documents are in Arabic, and the output summary is in English. | ||
| information on how <term> human judgments </term> | are | distributed over the <term> text </term> . | #5383 The paper presents a Bayesian model for text summarization, which explicitly encodes and exploits information on how human judgmentsare distributed over the text. |
