What is event knowledge graph: A survey

S Guan, X Cheng, L Bai, F Zhang, Z Li… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

[PDF][PDF] Template-based information extraction without the templates

N Chambers, D Jurafsky - … of the 49th annual meeting of the …, 2011 - aclanthology.org
Standard algorithms for template-based information extraction (IE) require predefined
template schemas, and often labeled data, to learn to extract their slot fillers (eg, an embassy …

[PDF][PDF] Event schema induction with a probabilistic entity-driven model

N Chambers - Proceedings of the 2013 Conference on Empirical …, 2013 - aclanthology.org
Event schema induction is the task of learning high-level representations of complex events
(eg, a bombing) and their entity roles (eg, perpetrator and victim) from unlabeled text. Event …

[PDF][PDF] Model-portability experiments for textual temporal analysis

O Kolomiyets, S Bethard… - Proceedings of the 49th …, 2011 - lirias.kuleuven.be
We explore a semi-supervised approach for improving the portability of time expression
recognition to non-newswire domains: we generate additional training examples by …

Ontology-based information extraction and integration from heterogeneous data sources

P Buitelaar, P Cimiano, A Frank, M Hartung… - International Journal of …, 2008 - Elsevier
In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

Open-schema event profiling for massive news corpora

Q Yuan, X Ren, W He, C Zhang, X Geng… - Proceedings of the 27th …, 2018 - dl.acm.org
With the rapid growth of online information services, a sheer volume of news data becomes
available. To help people quickly digest the explosive information, we define a new problem …

[PDF][PDF] Infusion of labeled data into distant supervision for relation extraction

M Pershina, B Min, W Xu… - Proceedings of the 52nd …, 2014 - aclanthology.org
Distant supervision usually utilizes only unlabeled data and existing knowledge bases to
learn relation extraction models. However, in some cases a small amount of human labeled …

[PDF][PDF] Filtered ranking for bootstrapping in event extraction

S Liao, R Grishman - … of the 23rd International Conference on …, 2010 - aclanthology.org
Several researchers have proposed semi-supervised learning methods for adapting event
extraction systems to new event types. This paper investigates two kinds of bootstrapping …

Joint learning templates and slots for event schema induction

L Sha, S Li, B Chang, Z Sui - arXiv preprint arXiv:1603.01333, 2016 - arxiv.org
Automatic event schema induction (AESI) means to extract meta-event from raw text, in other
words, to find out what types (templates) of event may exist in the raw text and what roles …

Neural methods for event extraction

E Boroş - 2018 - theses.hal.science
With the increasing amount of data and the exploding number data sources, the extraction of
information about events, whether from the perspective of acquiring knowledge or from a …