A joint neural model for information extraction with global features
Most existing joint neural models for Information Extraction (IE) use local task-specific
classifiers to predict labels for individual instances (eg, trigger, relation) regardless of their …
classifiers to predict labels for individual instances (eg, trigger, relation) regardless of their …
Old is gold: linguistic driven approach for entity and relation linking of short text
Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking
and relation inference because they do not provide sufficient context or are partially …
and relation inference because they do not provide sufficient context or are partially …
Minimize exposure bias of seq2seq models in joint entity and relation extraction
Joint entity and relation extraction aims to extract relation triplets from plain text directly. Prior
work leverages Sequence-to-Sequence (Seq2Seq) models for triplet sequence generation …
work leverages Sequence-to-Sequence (Seq2Seq) models for triplet sequence generation …
Chinese open relation extraction and knowledge base establishment
Named entity relation extraction is an important subject in the field of information extraction.
Although many English extractors have achieved reasonable performance, an effective …
Although many English extractors have achieved reasonable performance, an effective …
[PDF][PDF] 大规模知识图谱补全技术的研究进展
王硕， 杜志娟， 孟小峰 - 中国科学: 信息科学, 2020 - scis.scichina.com
摘要随着谷歌知识图谱, DBpedia, 微软Concept Graph, YAGO 等众多知识图谱的不断出现,
根据RDF 来构建的知识表达体系越来越为人们所熟知. 利用RDF 三元组表达形式成为人们对 …
根据RDF 来构建的知识表达体系越来越为人们所熟知. 利用RDF 三元组表达形式成为人们对 …
A novel, cognitively inspired, unified graph-based multi-task framework for information extraction
Y Zheng, LA Tuan - Cognitive Computation, 2023 - Springer
Abstract Information extraction (IE) transforms unstructured textual sources into structured
knowledge, closely resembling human reasoning. IE involves several subtasks, such as …
knowledge, closely resembling human reasoning. IE involves several subtasks, such as …
Dependency parsing-based entity relation extraction over Chinese complex text
S Qi, L Zheng, F Shang - Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
Open Relation Extraction (ORE) plays a significant role in the field of Information Extraction.
It breaks the limitation that traditional relation extraction must pre-define relational types in …
It breaks the limitation that traditional relation extraction must pre-define relational types in …
Identifying 1950s american jazz musicians: Fine-grained isa extraction via modifier composition
We present a method for populating fine-grained classes (eg,“1950s American jazz
musicians”) with instances (eg, Charles Mingus). While state-of-the-art methods tend to treat …
musicians”) with instances (eg, Charles Mingus). While state-of-the-art methods tend to treat …
Deep learning methods for knowledge base population
H Adel - 2018 - edoc.ub.uni-muenchen.de
Abstract Knowledge bases store structured information about entities or concepts of the
world and can be used in various applications, such as information retrieval or question …
world and can be used in various applications, such as information retrieval or question …
Knowledge extraction from unstructured data
A Sakor - 2023 - repo.uni-hannover.de
Data availability is becoming more essential, considering the current growth of web-based
data. The data available on the web are represented as unstructured, semi-structured, or …
data. The data available on the web are represented as unstructured, semi-structured, or …