RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning 2017
DOI: 10.26615/978-954-452-049-6_048
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Graph-Based Approach to Recognizing CST Relations in Polish Texts

Abstract: This paper presents a supervised approach to the recognition of Cross-document Structure Theory (CST) relations in Polish texts. In the proposed, graph-based representation is constructed for sentences. Graphs are built on the basis of lexicalised syntactic-semantic relations extracted from text. Similarity between sentences is calculated on their graphs, and the values are used as features to train the classifiers. Several different configurations of graphs, as well as graph similarity methods were analysed f… Show more

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“…Another direction of further research is extrinsic evaluation of sentence embeddings obtained on different transfer tasks (including tasks like sentiment analysis, CST relations classification [19] etc.) in different languages.…”
Section: Further Workmentioning
confidence: 99%
“…Another direction of further research is extrinsic evaluation of sentence embeddings obtained on different transfer tasks (including tasks like sentiment analysis, CST relations classification [19] etc.) in different languages.…”
Section: Further Workmentioning
confidence: 99%