The document aboutness problem asks for creating a succinct representation of a document's subject matter via keywords, sentences or entities drawn from a Knowledge Base. In this paper we propose an approach to solve this problem which improves the known solutions over all known datasets [4,19]. It is based on a wide and detailed experimental study of syntactic and semantic features drawn from the input document thanks to the use of some IR/NLP tools. To encourage and support reproducible experimental results on this task, we will make accessible our system via a public API: this is the first, and best performing, tool publicly available for the document aboutness problem.
Titolo: | Document aboutness via sophisticated syntactic and semantic features |
Autori interni: | |
Anno del prodotto: | 2017 |
Serie: | |
Abstract: | The document aboutness problem asks for creating a succinct representation of a document's subject matter via keywords, sentences or entities drawn from a Knowledge Base. In this paper we propose an approach to solve this problem which improves the known solutions over all known datasets [4,19]. It is based on a wide and detailed experimental study of syntactic and semantic features drawn from the input document thanks to the use of some IR/NLP tools. To encourage and support reproducible experimental results on this task, we will make accessible our system via a public API: this is the first, and best performing, tool publicly available for the document aboutness problem. |
Handle: | http://hdl.handle.net/11568/887267 |
ISBN: | 978-3-319-59568-9 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |