| <term> information retrieval techniques </term> | use | a <term> histogram </term> of <term> keywords | #59 Traditional information retrieval techniquesuse a histogram of keywords as the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | ||
| be available on the surface and could be | used | directly . Despite the small size of the | #183 Emotions and other indices such as the dominance distribution of speakers might be available on the surface and could be used directly. | ||
| small size of the <term> databases </term> | used | some results about the effectiveness of | #193 Despite the small size of the databasesused some results about the effectiveness of these indices can be obtained. | ||
| </term> which all Communicator participants are | using | . In this presentation , we describe the | #251 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. | ||
| and <term> scenario templates </term> - can be | used | to enhance access to <term> text collections | #300 In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser. | ||
| </term> . We describe how this information is | used | in a <term> prototype system </term> designed | #319 We describe how this information is used in a prototype system designed to support information workers' access to a pharmaceutical news archive as part of their industry watch function. | ||
| elicited from duplicating the experiment | using | <term> machine translation output </term> . | #677 We tested this to see if similar criteria could be elicited from duplicating the experiment using machine translation output. | ||
| approach called <term> LCS-Marine </term> . | Using | <term> LCS-Marine </term> , tactical personnel | #828 We have built and will demonstrate an application of this approach called LCS-Marine. Using LCS-Marine, tactical personnel can converse with their logistics system to place a supply or information request. | ||
| <term> word string </term> has been obtained by | using | a different <term> LM </term> . Actually , | #1110 The oracle knows the reference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where each word string has been obtained by using a different LM. | ||
| dynamic combiner </term> with hard decisions | using | the <term> reference </term> . We provide experimental | #1127 Actually, the oracle acts like a dynamic combiner with hard decisions using the reference. | ||
| mimics the behavior of the <term> oracle </term> | using | a <term> neural network </term> or a <term> decision | #1163 We suggest a method that mimics the behavior of the oracleusing a neural network or a decision tree. | ||
| component performance </term> . We describe our | use | of this approach in numerous fielded user | #1226 We describe our use of this approach in numerous fielded user studies conducted with the U.S. military. | ||
| top-ranked plan </term> . The <term> SPR </term> | uses | <term> ranking rules </term> automatically | #1424 The SPRuses ranking rules automatically learned from training data. | ||
| many attractive properties which may be | used | in <term> NLP </term> . In particular , <term> | #1617 The theoretical study of the range concatenation grammar [RCG] formalism has revealed many attractive properties which may be used in NLP. | ||
| language L </term> are directed by a guide which | uses | the shared <term> derivation forest </term> | #1718 The non-deterministic parsing choices of the main parser for a language L are directed by a guide which uses the shared derivation forest output by a prior RCL parser for a suitable superset of L . | ||
| natural language </term> , current systems | use | <term> manual or semi-automatic methods </term> | #1769 While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. | ||
| surprisingly close to what can be achieved | using | conventional <term> word-trigram recognition | #2248 The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance classification performance that is surprisingly close to what can be achieved using conventional word-trigram recognition requiring manual transcription. | ||
| <term> unsupervised training </term> is first | used | to train a <term> phone n-gram model </term> | #2264 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. | ||
| </term> . The <term> model </term> is designed for | use | in <term> error correction </term> , with a | #2718 The model is designed for use in error correction, with a focus on post-processing the output of black-box OCR systems in order to make it more useful for NLP tasks. | ||
| selection </term> . Furthermore , we propose the | use | of standard <term> parser evaluation methods | #2844 Furthermore, we propose the use of standard parser evaluation methods for automatically evaluating the summarization quality of sentence condensation systems. |
