Improving Open Information Extraction using Domain Knowledge
Overview & Synopsis
Open Information Extraction (OIE) aims to identify all the possible assertions within a sentence. Recent and thus the most efficient OIE-tools use the grammatical dependencies or the syntactic tree of the sentence to perform extraction. When they provide a wrong extraction it is mainly due to parsing errors. In this paper, we propose to handle these parsing errors before doing OIE itself. To achieve our goal we focus on multi-word expressions (MWE). They represent more than 45% of wrong extractions. We show how the MWE-problem can be handle in a given domain and how MWE-unbreakable property is a good filter for OIE.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Improving Open Information Extraction using Domain Knowledge |
|---|---|
| Author / Organization | Cheikh Kacfah Emani, Catarina Ferreira da Silva, Bruno Fiès, Parisa Ghodous |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2014 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-176996 |
| Original Source Link | Visit Source Page on hal.science » |