1. Multiple Level of Referents in Information State

    As we strive for sophisticated machine translation and reliable information extraction, we have launched a subproject pertaining to the practical elaboration of “intensional” levels of discourse referents in the framework of a representational dynamic discourse semantics, the DRT-based [14] [2], and the implementation of resulting representations within a complete model of communicating interpreters’ minds as it is captured formally in by means of functions σ, α, λ and κ [5]. We show analyses of chiefly Hungarian linguistic data, which range from revealing complex semantic contribution of small affixes through pointing out the multiply intensional nature of certain (pre)verbs to ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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