| string </term> has been obtained by using a | different | <term> LM </term> . Actually , the <term> oracle | #1112 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. | ||
| informational goals </term> . We report on | different | aspects of the <term> predictive performance | #2174 We report on different aspects of the predictive performance of our models, including the influence of various training and testing factors on predictive performance, and examine the relationships among the target variables. | ||
| </term> of the method is evaluated on three | different | <term> spoken language system domains </term> | #2301 The classification accuracy of the method is evaluated on three different spoken language system domains. | ||
| which is based on combining the results from | different | <term> answering agents </term> searching for | #2343 Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora. | ||
| answering agents </term> adopt fundamentally | different | strategies , one utilizing primarily knowledge-based | #2358 The answering agents adopt fundamentally different strategies, one utilizing primarily knowledge-based mechanisms and the other adopting statistical techniques. | ||
| utility of this <term> constraint </term> in two | different | <term> algorithms </term> . The results show | #3269 We evaluate the utility of this constraint in two different algorithms. | ||
| thus can suppress all the shortcomings of | different | strategies and has all the advantages of | #3561 Cooperative Model incorporates all the three strategies together and thus can suppress all the shortcomings of different strategies and has all the advantages of the three strategies. | ||
| that makes it to a summary appears in many | different | <term> lexical-syntactic forms </term> in the | #5214 Typically, information that makes it to a summary appears in many different lexical-syntactic forms in the input documents. | ||
| yet more <term> redundancy </term> , yielding | different | ways to realize that information in English | #5237 Further, the use of multiple machine translation systems provides yet more redundancy, yielding different ways to realize that information in English. | ||
| </term> . The output can be customized to meet | different | <term> segmentation standards </term> through | #6985 The output can be customized to meet different segmentation standards through the application of an ordered list of transformation. | ||
| </term> built upon correspondences between | different | <term> languages </term> can play a crucial | #7061 Parallel wordnets built upon correspondences between different languages can play a crucial role in multilingual knowledge processing. | ||
| occurs because each <term> model </term> has | different | strengths and weaknesses for modeling the | #9586 This probably occurs because each model has different strengths and weaknesses for modeling the knowledge sources. | ||
| been investigated systematically on two | different | <term> language pairs </term> . The experimental | #11357 The correlation of the new measure with human judgment has been investigated systematically on two different language pairs. | ||
| </term> , the <term> theory </term> specifies how | different | <term> information </term> in <term> memory </term> | #12889 Unlike logic, the theory specifies how different information in memory affects the certainty of the conclusions drawn. | ||
| of a <term> dimensionalized space </term> of | different | <term> inference types </term> and their <term> | #12909 The theory consists of a dimensionalized space of different inference types and their certainty conditions, including a variety of meta-inference types where the inference depends on the person's knowledge about his own knowledge. | ||
| to questions are analyzed in terms of the | different | <term> inference types </term> . The paper | #12951 The protocols from people's answers to questions are analyzed in terms of the different inference types. | ||
| structured in multiple ways to support the | different | <term> inference types </term> , and how the | #12969 The paper also discusses how memory is structured in multiple ways to support the different inference types, and how the information found in memory determines which inference types are triggered. | ||
| respects : as a device to represent and to use | different | <term> dialog schemata </term> proposed in <term> | #13316 as a device to represent and to use different dialog schemata proposed in empirical conversation analysis; | ||
| </term> is presented that integrates several | different | <term> parsing strategies </term> , with <term> | #13805 A parsing algorithm is presented that integrates several different parsing strategies, with case-frame instantiation dominating. | ||
| these <term> parsing strategies </term> exploits | different | types of <term> knowledge </term> ; and their | #13820 Each of these parsing strategies exploits different types of knowledge; and their combination provides a strong framework in which to process conjunctions, fragmentary input, and ungrammatical structures, as well as less exotic, grammatically correct input. |
