other,20-2-P01-1008,bq translations </term> of the same <term> source text </term> . Our approach yields <term> phrasal
other,10-2-A88-1001,bq heuristically-produced complete <term> sentences </term> in <term> text </term> or <term> text-to-speech form </term>
lr,0-4-P03-1050,bq phase </term> . <term> Monolingual , unannotated text </term> can be used to further improve the
aggregation system </term> using each author 's text as a coherent <term> corpus </term> . Our approach
tech,6-1-P84-1078,bq describes <term> Paul </term> , a <term> computer text generation system </term> designed to create
tech,25-1-H94-1084,bq <term> image understanding </term> with <term> text understanding </term> . Our <term> document
lr,11-4-P04-2010,bq <term> pronouns </term> in <term> unannotated text </term> by using a fully automatic sequence
tech,24-2-H94-1084,bq </term> , which creates the data for a <term> text retrieval application </term> and the <term>
other,29-3-P84-1078,bq antecedence </term> of each element in the <term> text </term> to select the proper <term> substitutions
other,14-4-C92-4207,bq spatial constraints </term> from the <term> text </term> , and represent them as the <term>
other,17-1-A94-1026,bq conversion </term> needed to input the <term> text </term> . It is critical , therefore , for
other,12-4-P06-1013,bq are derived automatically from <term> raw text </term> . Experiments using the <term> SemCor
other,35-1-I05-4010,bq numbering system </term> in the <term> legal text hierarchy </term> . Basic methodology and
tech,38-3-H01-1040,bq increased potential of <term> IE-enhanced text browsers </term> . At MIT Lincoln Laboratory
other,31-1-H01-1040,bq - can be used to enhance access to <term> text collections </term> via a standard <term> text
other,13-1-P82-1035,bq under the assumption that the input <term> text </term> will be in reasonably neat form ,
other,13-1-P84-1078,bq system </term> designed to create <term> cohesive text </term> through the use of <term> lexical substitutions
tech,24-5-P04-2010,bq open-domain question answering </term> and <term> text summarisation </term> . In this paper , we
tech,17-1-H92-1095,bq spoken language understanding </term> , <term> text understanding </term> , and <term> document
other,24-1-N03-4010,bq answering capability </term> on <term> free text </term> . The demonstration will focus on
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