Fact Discovery from Knowledge Base via Facet Decomposition

04/21/2019
by   Zihao Fu, et al.
0

During the past few decades, knowledge bases (KBs) have experienced rapid growth. Nevertheless, most KBs still suffer from serious incompletion. Researchers proposed many tasks such as knowledge base completion and relation prediction to help build the representation of KBs. However, there are some issues unsettled towards enriching the KBs. Knowledge base completion and relation prediction assume that we know two elements of the fact triples and we are going to predict the missing one. This assumption is too restricted in practice and prevents it from discovering new facts directly. To address this issue, we propose a new task, namely, fact discovery from knowledge base. This task only requires that we know the head entity and the goal is to discover facts associated with the head entity. To tackle this new problem, we propose a novel framework that decomposes the discovery problem into several facet discovery components. We also propose a novel auto-encoder based facet component to estimate some facets of the fact. Besides, we propose a feedback learning component to share the information between each facet. We evaluate our framework using a benchmark dataset and the experimental results show that our framework achieves promising results. We also conduct extensive analysis of our framework in discovering different kinds of facts. The source code of this paper can be obtained from https://github.com/thunlp/FFD.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/19/2019

Relation Discovery with Out-of-Relation Knowledge Base as Supervision

Unsupervised relation discovery aims to discover new relations from a gi...
research
08/30/2021

Knowledge Base Completion Meets Transfer Learning

The aim of knowledge base completion is to predict unseen facts from exi...
research
08/14/2018

KGCleaner : Identifying and Correcting Errors Produced by Information Extraction Systems

KGCleaner is a framework to identify and correct errors in data produced...
research
11/13/2022

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark

Automated completion of open knowledge bases (KBs), which are constructe...
research
12/12/2016

Knowledge Completion for Generics using Guided Tensor Factorization

Given a knowledge base (KB) rich in facts about common nouns or generics...
research
07/02/2019

Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns

Knowledge base construction is crucial for summarising, understanding an...
research
05/24/2018

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

Embedding models for entities and relations are extremely useful for rec...

Please sign up or login with your details

Forgot password? Click here to reset