B5: The Extraction of Complex Information and Encoding Density (EXCITED)

Project B5 addresses the problem of automatic relation extraction from densely encoded texts. Focusing on cross-sentence relation extraction, the project takes into account different linguistic encodings of a given relation. The research is corpus-based, compiling a collection of syntactically analysed mentions of selected relations exhibiting variation in encoding density. The insights gained from analysis will be used to optimize automatic relation extraction taking into account encoding density and its relation to information density, and further shed light on whether the observed variation can be explained by uniform information density (UID).

Publications

2017

Simova, Iliana; Uszkoreit, Hans

Word Embeddings as Features for Supervised Coreference Resolution Inproceedings

Proceedings of Recent Advances in Natural Language Processing, 2017, (B5, sfb1102).

BibTeX

Hans Uszkoreit

PI

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Seong-Eun Cho

PhD

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Iliana Simova

PhD

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