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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction - Couverture souple
Synopsis
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.
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À propos de l?auteur
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.
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences to a Formal Semantic Representation Using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction (Paperback)
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Springer Fachmedien Wiesbaden, Weisbaden, 2022
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Paperback. Etat : new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783658386962
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences to a Formal Semantic Representation Using Syntactic Text Simplification and Open Information Extraction
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ISBN 10 : 3658386967
ISBN 13 : 9783658386962
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
ISBN 10 : 3658386967
ISBN 13 : 9783658386962
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 360 pp. Englisch. N° de réf. du vendeur 9783658386962
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
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From Complex Sentences To A Formal Seman
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