Refined: An efficient zero-shot-capable approach to end-to-end entity linking
We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained
entity types and entity descriptions to perform linking. The model performs mention …
entity types and entity descriptions to perform linking. The model performs mention …
Towards a question answering system over the semantic web
With the development of the Semantic Web, a lot of new structured data has become
available on the Web in the form of knowledge bases (KBs). Making this valuable data …
available on the Web in the form of knowledge bases (KBs). Making this valuable data …
Wdaqua-core1: a question answering service for rdf knowledge bases
In the last two decades a new part of the web grew significantly, namely the Semantic Web. It
contains many Knowledge Bases (KB) about different areas like music, books, publications …
contains many Knowledge Bases (KB) about different areas like music, books, publications …
Qanswer KG: designing a portable question answering system over RDF data
While RDF was designed to make data easily readable by machines, it does not make data
easily usable by end-users. Question Answering (QA) over Knowledge Graphs (KGs) is …
easily usable by end-users. Question Answering (QA) over Knowledge Graphs (KGs) is …
Bio-SODA UX: enabling natural language question answering over knowledge graphs with user disambiguation
The problem of natural language processing over structured data has become a growing
research field, both within the relational database and the Semantic Web community, with …
research field, both within the relational database and the Semantic Web community, with …
Bio-SODA: enabling natural language question answering over knowledge graphs without training data
The problem of natural language processing over structured data has become a growing
research field, both within the relational database and the Semantic Web community, with …
research field, both within the relational database and the Semantic Web community, with …
Incremental entity summarization with formal concept analysis
Knowledge graph describes entities by numerous RDF data (subject-predicate-object
triples), which has been widely applied in various fields, such as artificial intelligence …
triples), which has been widely applied in various fields, such as artificial intelligence …
IntKB: A verifiable interactive framework for knowledge base completion
Abstract Knowledge bases (KBs) are essential for many downstream NLP tasks, yet their
prime shortcoming is that they are often incomplete. State-of-the-art frameworks for KB …
prime shortcoming is that they are often incomplete. State-of-the-art frameworks for KB …
Influence-aware graph neural networks
B Yu, Y Zhang, Y Xie, C Zhang, K Pan - Applied Soft Computing, 2021 - Elsevier
Network representation learning endeavors to learn low-dimensional dense representations
for nodes in a network. With the rapid development of online social platforms, the analysis of …
for nodes in a network. With the rapid development of online social platforms, the analysis of …
Instance-Based Lossless Summarization of Knowledge Graph With Optimized Triples and Corrections (IBA-OTC)
Knowledge graph (KG) summarization facilitates efficient information retrieval for exploring
complex structural data. For fast information retrieval, it requires processing on redundant …
complex structural data. For fast information retrieval, it requires processing on redundant …