"rhis paperI presents a computational method for the recognition of the cohesive and coherence structures of texts. A large lexieal knowledge base built oil top of WordNet provides with the lexico-senmntic information that needs to be mined. A path-finding algorittam returns tim cot~esive structure of a text with results that outperform previous api~roaches. The Icxical paths contained in the c...

The study evaluated whether durational and allophonic cues to word boundaries are intrinsic to syllable production, and so acquired with syllable structure, or whether they are suprasyllabic, and so acquired in phrasal contexts. Twenty preschool children (aged 3;6 and 4;6) produced: (1) single words with simple and complex onsets (e.g. nail vs. snail); and (2) two-word phrases with intervocalic...

Coherent texts are not just simple sequences of clauses and sentences, but rather complex artifacts that have highly elaborate rhetorical structure. This paper explores the extent to which well-formed rhetorical structures can be automatically derived by means of surface-form-based algorithms. These algorithms identify discourse usages of cue phrases and break sentences into clauses, hypothesiz...

based' approaches to discourse analysis and text generation suuer from a common problem: there is considerable disagreement between researchers over the set of relations which is proposed. Few researchers use identical sets of relations, and many use relations not found in any other sets. This proliferation of relations has been pointed out before (eg Hovy 1]), and several methods for justifyin...

This paper introduces a new method for the rapid development of complex rule bases involving cue phrases for the purpose of classifying text segments. The method is based on Ripple-Down Rules, a knowledge acquisition method that proved very successful in practice for building medical expert systems and does not require a knowledge engineer. We implemented our system KAFTAN and demonstrate the a...

s 94.99 94.35 94.67 Papers 90.48 87.47 88.95 Negation cue recognition Clinical 86.81 88.54 87.67 Abstracts 83.74 93.14 88.19 Papers 73.02 82.31 77.39 Speculation cue recognition Clinical 33.33 91.77 48.90s 83.74 93.14 88.19 Papers 73.02 82.31 77.39 Speculation cue recognition Clinical 33.33 91.77 48.90 Table 9: Performance of automatic cue recognition with automatic parse trees on the three sub...

A full understanding of text is out of reach of current human language technology. However, a shallow Natural Language Processing (NLP) approach can be used to provide automated help in the assessment of essays: our approach uses genre, cue phrases and a set of patterns. Cue phrases, with their associated semantics, are used in conjunction with patterns to identify categories of argumentation p...

The paper presents a method of building the discourse structure of a discourse by combining indications on local structure given by cue-phrases with indications on global structure given by references found in the text. Then the discourse structure is used to obtain focused summaries.

In this study, we analyzed prosodic features of accentual phrases and investigated their temporal changes to obtain cues for detecting boundaries at where turn-taking could occur in spontaneous conversations. The acoustic parameters used as prosodic features were the fundamental frequency, sound pressure level, and duration of accentual phrases in long utterance units. The results showed that t...