| automatically training <term> SPoT </term> on the | basis | of <term> feedback </term> provided by <term> | #1357 In this paper, we present SPoT, a sentence planner, and a new methodology for automatically training SPoT on the basis of feedback provided by human judges. | |
| scoring sets of <term> concepts </term> on the | basis | of an <term> ontology </term> . We apply our | #2451 In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. | |
| annotated corpus </term> resource as reliable | basis | for the large-scale <term> acquisition of | #4947 We describe the ongoing construction of a large, semantically annotated corpus resource as reliable basis for the large-scale acquisition of word-semantic information, e.g. the construction of domain-independent lexica. | |
| </term> from the first project stage . On this | basis | , we discuss the problems of <term> vagueness | #4993 On this basis, we discuss the problems of vagueness and ambiguity in semantic annotation. | |
| number of years and is currently used as the | basis | of <term> CMU 's SMT system </term> . It has | #8161 STTK has been developed by the presenter and co-workers over a number of years and is currently used as the basis of CMU's SMT system. | |
| </term> from its <term> users </term> on a routine | basis | , it must display a similar indifference | #12729 If a computer system wishes to accept natural language input from its users on a routine basis, it must display a similar indifference. | |
| semantic constraints </term> and thus provide a | basis | for a useful <term> disambiguation tool </term> | #16715 The results of the experiment show that in most of the cases the cooccurrence statistics indeed reflect the semantic constraints and thus provide a basis for a useful disambiguation tool. | |
| and coherent <term> dictionary </term> on the | basis | of a <term> linguistic theory </term> . If | #17254 The basic goal in building that editor was to provide an adequate tool to help lexicologists produce a valid and coherent dictionary on the basis of a linguistic theory. | |
| </term> , that is , to make decisions on the | basis | of <term> translation examples </term> at appropriate | #18100 Currently some attempts are being made to use case-based reasoning in machine translation, that is, to make decisions on the basis of translation examples at appropriate pints in MT. |
