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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction

Christina Niklaus (Autor)

Buch | Softcover

XLI, 318 Seiten

2022 | 1st ed. 2022
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-38696-2 (ISBN)

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This work presents a discourse-aware Text Simplification approach that splits and rephrases complex English sentences within the semantic context in which they occur. Based on a linguistically grounded transformation stage, complex sentences are transformed into shorter utterances with a simple canonical structure that can be easily analyzed by downstream applications. To avoid breaking down the input into a disjointed sequence of statements that is difficult to interpret, the author incorporates the semantic context between the split propositions in the form of hierarchical structures and semantic relationships, thus generating a novel representation of complex assertions that puts a semantic layer on top of the simplified sentences. In a second step, she leverages the semantic hierarchy of minimal propositions to improve the performance of Open IE frameworks. She shows that such systems benefit in two dimensions. First, the canonical structure of the simplified sentences facilitatesthe extraction of relational tuples, leading to an improved precision and recall of the extracted relations. Second, the semantic hierarchy can be leveraged to enrich the output of existing Open IE approaches with additional meta-information, resulting in a novel lightweight semantic representation for complex text data in the form of normalized and context-preserving relational tuples.

About the author Christina Niklaus is an Assistant Professor in Computer Science at the University of St.Gallen with a focus on Data Science and NLP.

Background.- Discourse-Aware Sentence Splitting.- Open Information Extraction.- Evaluation.- Conclusion.

Erscheinungsdatum	01.09.2022
Zusatzinfo	XLI, 318 p. 106 illus., 58 illus. in color.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	465 g
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Automatic Text Simplification • Discourse Representation • information extraction • knowledge extraction • Knowledge graph • Natural Language Processing • Open IE • Open Information Extraction • semantic representation • Sentence Splitting • Split-and-Rephrase • Syntactic Text Simplification • Text Simplification
ISBN-10	3-658-38696-7 / 3658386967
ISBN-13	978-3-658-38696-2 / 9783658386962
Zustand	Neuware