24 citations · 72 across the 21 of their papers we have counts for
33 papers
Causal Inference for Chatting Handoff
Shanshan Zhong, Jinghui Qin, Zhongzhan Huang +1
Aiming to ensure chatbot quality by predicting chatbot failure and enabling human-agent collaboration, Machine-Human Chatting Handoff (MHCH) has attracted lots of attention from bo…
Transformer-based Subject Entity Detection in Wikipedia Listings
Nicolas Heist, Heiko Paulheim
In tasks like question answering or text summarisation, it is essential to have background knowledge about the relevant entities. The information about entities - in particular, ab…
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching
Sven Hertling, Heiko Paulheim
The number of Knowledge Graphs (KGs) generated with automatic and manual approaches is constantly growing. For an integrated view and usage, an alignment between these KGs is neces…
KERMIT -- A Transformer-Based Approach for Knowledge Graph Matching
Sven Hertling, Jan Portisch, Heiko Paulheim
One of the strongest signals for automated matching of knowledge graphs and ontologies are textual concept descriptions. With the rise of transformer-based language models, text co…
Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graph
Niclas Heilig, Jan Kirchhoff, Florian Stumpe +3
Medical diagnosis is the process of making a prediction of the disease a patient is likely to have, given a set of symptoms and observations. This requires extensive expert knowled…
Ontology Matching Through Absolute Orientation of Embedding Spaces
Jan Portisch, Guilherme Costa, Karolin Stefani +3
Ontology matching is a core task when creating interoperable and linked open datasets. In this paper, we explore a novel structure-based mapping approach which is based on knowledg…