Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163074
Title: Knowledge graph construction from text
Authors: Lim, Yi Keong
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lim, Y. K. (2022). Knowledge graph construction from text. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163074
Project: SCSE21-0721
Abstract: Being able to organize the massive amount of unstructured data that is produced every day would make analysis simpler and uncover trends and linkages that might not otherwise be seen. Open Information Extraction (OpenIE), a popular tool, extracts semantic triples (Subject -> Relation -> Object) from texts. However, it could lead to ambiguity during semantic triple extraction in information extraction. Pronouns can be thought of as apart from their subject. This project aims to resolve the aforementioned ambiguity by integrating OpenIE systems with Coreference Resolution, thereby allowing the extraction of relations between entities across the entire document. Additionally, new OpenIE systems will be explored and hyperparameter tuning will be done to find the best model.
URI: https://hdl.handle.net/10356/163074
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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