108,156 research outputs found
Learning Recursive Segments for Discourse Parsing
Automatically detecting discourse segments is an important preliminary step
towards full discourse parsing. Previous research on discourse segmentation
have relied on the assumption that elementary discourse units (EDUs) in a
document always form a linear sequence (i.e., they can never be nested).
Unfortunately, this assumption turns out to be too strong, for some theories of
discourse like SDRT allows for nested discourse units. In this paper, we
present a simple approach to discourse segmentation that is able to produce
nested EDUs. Our approach builds on standard multi-class classification
techniques combined with a simple repairing heuristic that enforces global
coherence. Our system was developed and evaluated on the first round of
annotations provided by the French Annodis project (an ongoing effort to create
a discourse bank for French). Cross-validated on only 47 documents (1,445
EDUs), our system achieves encouraging performance results with an F-score of
73% for finding EDUs.Comment: published at LREC 201
Building a Corpus of 2L English for Automatic Assessment: the CLEC Corpus
In this paper we describe the CLEC corpus, an ongoing project set up at the University of Cádiz with the purpose of building up a large corpus of English as a 2L classified according to CEFR proficiency levels and formed to train statistical models for automatic proficiency assessment. The goal of this corpus is twofold: on the one hand it will be used as a data resource for the development of automatic text classification systems and, on the other, it has been used as a means of teaching innovation techniques
Towards a quantum evolutionary scheme: violating Bell's inequalities in language
We show the presence of genuine quantum structures in human language. The
neo-Darwinian evolutionary scheme is founded on a probability structure that
satisfies the Kolmogorovian axioms, and as a consequence cannot incorporate
quantum-like evolutionary change. In earlier research we revealed quantum
structures in processes taking place in conceptual space. We argue that the
presence of quantum structures in language and the earlier detected quantum
structures in conceptual change make the neo-Darwinian evolutionary scheme
strictly too limited for Evolutionary Epistemology. We sketch how we believe
that evolution in a more general way should be implemented in epistemology and
conceptual change, but also in biology, and how this view would lead to another
relation between both biology and epistemology.Comment: 20 pages, no figures, this version of the paper is equal to the
foregoing. The paper has meanwhile been published in another book series than
the one tentatively mentioned in the comments given with the foregoing
versio
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