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This ebook constitutes the refereed lawsuits of the second one foreign Workshop on textual content, Speech and discussion, TSD'99, held in Plzen, Czech Republic in September 1999. The fifty seven revised complete papers and 19 posters provided have been conscientiously reviewed and chosen for inclusion within the ebook. The publication provides state of the art learn and expertise within the box of common language processing with emphasis on textual content, speech, and spoken discussion.
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Additional resources for Text, Speech and Dialogue: Second International Workshop, TSD’99 Plzen, Czech Republic, September 13–17, 1999 Proceedings
Example text
The bottom lines in the table display the accuracy of two combined classifiers: MAJORITY (MAJ) and CREDIBILITY (CRED). Table 2. 72 (%) MAJ. 41 (%) CRED. 45 The evaluation results point out at least two important things: a) splitting a balanced training corpus (Global in our case) into specialised register training corpora is worth considering: although LMGlobal generally provides better results than a model based on a subcorpus, even the simplest combiner – majority, scores in most cases better; 2 One may note that similarity is not transitive, as Rep&News on PHILOSOPHY are shown not to behave similarly, in spite of the pairs 1984&Rep and 1984&News.
A. The reason for John’s not-coming was his illness. b. g. g. he wanted to invite the doctor for a party). If (2) is uttered with the meaning of (b), John might have been ill but not necessarily so, and it is implied that John did come, while (a) implies that John was ill and he did not come. This difference in meaning is a result of different TFA’s of (a) and (b): (a) is ’about’ John’s not-coming (John didn’t come is in the topic part of the sentence); when the operator of negation is in the topic, the end of the scope of negation coincides with the boundary between topic and focus and the elements in the focus trigger, in a prototypical case, a presupposition.
The reference by a weak pronoun is ambiguous, though there is a preferred reading keeping the syntactic symmetry (there is a tendency to preserve the subjects in the successive sentences, if possible). 2 Three values of the TFA attribute are distinguished: (i) T (a non-contrastive contextually bound node, with a lower degree of communicative dynamism, CD, than its governor), (ii) F (a contextually non-bound node, ”new” piece of information), (iii) C (a contrastive (part of) topic; in the present stage, this value is assigned only in cases in which the node concerned is in a non-projective position).