| <term> histogram </term> of <term> keywords </term> | as | the <term> document representation </term> | #64 Traditional information retrieval techniques use a histogram of keywordsas the document representation but oral communication may offer additional indices such as the time and place of the rejoinder and the attendance. | |
| offer additional <term> indices </term> such | as | the time and place of the rejoinder and | #76 Traditional information retrieval techniques use 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. | |
| <term> index </term> could be the activity such | as | discussing , planning , informing , story-telling | #96 An alternative index could be the activity such as discussing, planning, informing, story-telling, etc. | |
| </term> and other <term> indices </term> such | as | the <term> dominance distribution of speakers | #168 Emotions and other indices such as the dominance distribution of speakers might be available on the surface and could be used directly. | |
| <term> pharmaceutical news archive </term> | as | part of their <term> industry watch </term> | #336 We describe how this information is used in a prototype system designed to support information workers' access to a pharmaceutical news archiveas part of their industry watch function. | |
| </term> has brought to light a new problem : | as | <term> dialog systems </term> understand more | #944 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user. | |
| and single word lexical paraphrases </term> | as | well as <term> syntactic paraphrases </term> | #1809 Our approach yields phrasal and single word lexical paraphrasesas well as syntactic paraphrases. | |
| single word lexical paraphrases </term> as well | as | <term> syntactic paraphrases </term> . This | #1811 Our approach yields phrasal and single word lexical paraphrases as well as syntactic paraphrases. | |
| other,23-1-P01-1009,bq | <term> other ( than ) </term> , <term> such ( | as | ) </term> , and <term> besides </term> . These | #1840 This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than), such ( as), and besides. |
| </term> . The value of this approach is that | as | the <term> operational semantics </term> of | #1910 The value of this approach is that as the operational semantics of natural language applications improve, even larger improvements are possible. | |
| Montague semantics </term> which can be viewed | as | a <term> formal computation </term> of the <term> | #2003 Here we emphasize the connection to Montague semantics which can be viewed as a formal computation of the logical form. | |
| </term> and the <term> baselines </term> , and | as | well as the <term> hand-crafted system </term> | #2117 We show that the trainable sentence planner performs better than the rule-based systems and the baselines, and as well as the hand-crafted system. | |
| and the <term> baselines </term> , and as well | as | the <term> hand-crafted system </term> . We | #2119 We show that the trainable sentence planner performs better than the rule-based systems and the baselines, and as well as the hand-crafted system. | |
| German corpus </term> of 2.284 <term> SRHs </term> | as | either coherent or incoherent ( given a | #2525 An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHsas either coherent or incoherent (given a baseline of 54.55%). | |
| </term> for <term> word alignment </term> , known | as | the <term> cohesion constraint </term> . It | #3238 We present a syntax-based constraint for word alignment, known as the cohesion constraint. | |
| bootstrapping procedure </term> is implemented | as | training two <term> successive learners </term> | #3339 The bootstrapping procedure is implemented as training two successive learners. | |
| tasks </term> to evaluate its performance | as | a <term> similarity measure </term> and a <term> | #3855 We applied the proposed method to question classification and sentence alignment tasks to evaluate its performance as a similarity measure and a kernel function. | |
| <term> Link detection </term> has been regarded | as | a core technology for the <term> Topic Detection | #4047 Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks of new event detection. | |
| </term> and <term> new event detection </term> | as | <term> information retrieval task </term> and | #4075 In this paper we formulate story link detection and new event detectionas information retrieval task and hypothesize on the impact of precision and recall on both systems. | |
| and resolving the <term> ambiguity </term> | as | the <term> dialogue </term> progresses , the | #4203 By holding multiple candidates for understanding results and resolving the ambiguityas the dialogue progresses, the discourse understanding accuracy can be improved. |
