The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Computing representations of the structure of written discourse
Computing representations of the structure of written discourse
Empirical studies on the disambiguation of cue phrases
Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Anaphora and Discourse Structure
Computational Linguistics
Representing Discourse Coherence: A Corpus-Based Study
Computational Linguistics
Discourse segmentation of german written texts
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
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Local coherence analysis is the task of deriving the (most likely) coherence relation holding between two elementary discourse units or, recursively, larger spans of text. The primary source of information for this step is the connectives provided by a language for, more or less explicitly, signaling the relations. Focusing here on causal coherence relations, we propose a lexical resource that holds both lexicographic and corpus-statistic information on German connectives. It can serve as the central repository of information needed for identifying and disambiguating connectives in text, including determining the coherence relations being signaled. We sketch a procedure performing this task, and describe a manually-annotated corpus of causal relations (also in German), which serves as reference data.