In natural language processing (NLP), a text graph is a graph representation of a text item (document, passage or sentence). It is typically created as a preprocessing step to support NLP tasks such as text condensation[1]
term disambiguation[2]
(topic-based) text summarization,[3] relation extraction[4] and textual entailment.[5]
^Reimer, Ulrich; Hahn, Udo (1988). "Text condensation as knowledge base abstraction." (PDF). Fourth Conference on Artificial Intelligence Applications.
^Massé, A. Blondin; Chicoisne, Guillaume; Gargouri, Yassine; Harnad, Stevan; Picard, Olivier; Marcotte, Odile (2008). "How Is Meaning Grounded in Dictionary Definitions?" (PDF). Proceedings of TextGraphs-3 Workshop.
^Melli, Gabor; Shi, Zhongmin; Wang, Yang; Liu, Yudong; Sarkar, Anoop; Popowich, Fred (2006). "Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2006 Summarization Task" (PDF). Proceeding of Document Understanding Conference (DUC 2006).
^Melli, Gabor (2010). Supervised Ontology to Document Interlinking(PDF) (Ph.D.). Simon Fraser University.
^MacCartney, Bill; renager, Trond G; de Marneffe, Marie-Catherine; Cer, Daniel; D. Manning, Christopher (2006). "Learning to recognize features of valid textual entailments" (PDF). Conference on Human Language Technology & Conference of the North American Chapter of the Association of Computational Linguistics.
In natural language processing (NLP), a textgraph is a graph representation of a text item (document, passage or sentence). It is typically created as...
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