Ten years of BabelNet: A survey
The intelligent manipulation of symbolic knowledge has been a long-sought goal of AI.
However, when it comes to Natural Language Processing (NLP), symbols have to be …
However, when it comes to Natural Language Processing (NLP), symbols have to be …
Large-scale information extraction from textual definitions through deep syntactic and semantic analysis
We present DefIE, an approach to large-scale Information Extraction (IE) based on a
syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we …
syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we …
Semantic computing for big data: approaches, tools, and emerging directions (2011-2014)
The term" big data" has recently gained widespread attention in the field of information
technology (IT). One of the key challenges in making use of big data lies in finding ways to …
technology (IT). One of the key challenges in making use of big data lies in finding ways to …
[HTML][HTML] Multiwibi: The multilingual wikipedia bitaxonomy project
We present MultiWiBi, an approach to the automatic creation of two integrated taxonomies
for Wikipedia pages and categories written in different languages. In order to create both …
for Wikipedia pages and categories written in different languages. In order to create both …
Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs
Recent years have seen a significant growth and increased usage of large-scale knowledge
resources in both academic research and industry. We can distinguish two main types of …
resources in both academic research and industry. We can distinguish two main types of …
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 …
A multilingual evaluation dataset for monolingual word sense alignment
Aligning senses across resources and languages is a challenging task with beneficial
applications in the field of natural language processing and electronic lexicography. In this …
applications in the field of natural language processing and electronic lexicography. In this …
Linked Lexical Knowledge Bases
Linked Lexical Knowledge Bases Page 1 21 CHAPTER 2 Linked Lexical Knowledge Bases In
this chapter, we move closer to the core of this book: the linking of LKBs. To this end, we first …
this chapter, we move closer to the core of this book: the linking of LKBs. To this end, we first …
A history and theory of textual event detection and recognition
Y Chen, Z Ding, Q Zheng, Y Qin, R Huang… - IEEE Access, 2020 - ieeexplore.ieee.org
There is large and growing amounts of textual data that contains information about human
activities. Mining interesting knowledge from this textual data is a challenging task because …
activities. Mining interesting knowledge from this textual data is a challenging task because …
[HTML][HTML] Feature assembly method for extracting relations in Chinese
The goal of relation extraction is to detect relations between two entities in free text. In a
sentence, a relation instance usually comprises a small number of words, which yields a …
sentence, a relation instance usually comprises a small number of words, which yields a …