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05/21/2023
Direct Fact Retrieval from Knowledge Graphs without Entity Linking
There has been a surge of interest in utilizing Knowledge Graphs (KGs) f...
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04/06/2023
Retention Is All You Need
Skilled employees are usually seen as the most important pillar of an or...
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10/09/2022
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
This paper addresses the task of conversational question answering (Conv...
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08/13/2022
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs
We introduce a new dataset for conversational question answering over Kn...
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08/04/2022
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
Knowledge Graphs, such as Wikidata, comprise structural and textual know...
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04/19/2022
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
Task-oriented dialogue generation is challenging since the underlying kn...
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03/17/2022
RoMe: A Robust Metric for Evaluating Natural Language Generation
Evaluating Natural Language Generation (NLG) systems is a challenging ta...
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03/09/2022
Language Model-driven Negative Sampling
Knowledge Graph Embeddings (KGEs) encode the entities and relations of a...
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03/04/2022
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs
Entity alignment aims to identify equivalent entity pairs between differ...
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02/18/2022
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion
Recent years, Knowledge Graph Embeddings (KGEs) have shown promising per...
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12/07/2021
Semantic Answer Type and Relation Prediction Task (SMART 2021)
Each year the International Semantic Web Conference organizes a set of S...
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12/03/2021
Survey on English Entity Linking on Wikidata
Wikidata is a frequently updated, community-driven, and multilingual kno...
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09/17/2021
Geolog: Scalable Logic Programming on Spatial Data
Spatial data is ubiquitous in our data-driven society. The Logic Program...
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07/10/2021
Improving Inductive Link Prediction Using Hyper-Relational Facts
For many years, link prediction on knowledge graphs (KGs) has been a pur...
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07/03/2021
Trans4E: Link Prediction on Scholarly Knowledge Graphs
The incompleteness of Knowledge Graphs (KGs) is a crucial issue affectin...
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06/24/2021
VOGUE: Answer Verbalization through Multi-Task Learning
In recent years, there have been significant developments in Question An...
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05/24/2021
VANiLLa : Verbalized Answers in Natural Language at Large Scale
In the last years, there have been significant developments in the area ...
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04/30/2021
GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
In the context of social media, geolocation inference on news or events ...
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04/11/2021
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings
Among the top approaches of recent years, link prediction using knowledg...
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04/04/2021
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
This paper addresses the task of (complex) conversational question answe...
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03/30/2021
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
Generating knowledge grounded responses in both goal and non-goal orient...
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03/13/2021
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
This paper presents ParaQA, a question answering (QA) dataset with multi...
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03/13/2021
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
Neural semantic parsing approaches have been widely used for Question An...
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01/25/2021
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
In this paper, we propose CHOLAN, a modular approach to target end-to-en...
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12/01/2020
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Each year the International Semantic Web Conference accepts a set of Sem...
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10/13/2020
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations
Knowledge Graph Embeddings (KGEs) have shown promising performance on li...
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10/02/2020
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
In the last few years, there has been a surge of interest in learning re...
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10/02/2020
Knowledge Graph Embeddings in Geometric Algebras
Knowledge graph (KG) embedding aims at embedding entities and relations ...
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09/22/2020
Message Passing for Hyper-Relational Knowledge Graphs
Hyper-relational knowledge graphs (KGs) (e.g., Wikidata) enable associat...
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08/31/2020
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
Question Answering systems are generally modelled as a pipeline consisti...
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08/26/2020
Training Multimodal Systems for Classification with Multiple Objectives
We learn about the world from a diverse range of sensory information. Au...
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08/14/2020
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
In this paper, we introduce the MLM (Multiple Languages and Modalities) ...
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08/12/2020
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Pretrained Transformer models have emerged as state-of-the-art approache...
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07/19/2020
Improving the Long-Range Performance of Gated Graph Neural Networks
Many popular variants of graph neural networks (GNNs) that are capable o...
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06/20/2020
IQA: Interactive Query Construction in Semantic Question Answering Systems
Semantic Question Answering (SQA) systems automatically interpret user q...
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06/08/2020
5* Knowledge Graph Embeddings with Projective Transformations
Performing link prediction using knowledge graph embedding (KGE) models ...
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06/03/2020
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
Industry 4.0 (I4.0) standards and standardization frameworks have been p...
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02/25/2020
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Entity linking - connecting entity mentions in a natural language uttera...
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01/29/2020
A Scalable Framework for Quality Assessment of RDF Datasets
Over the last years, Linked Data has grown continuously. Today, we count...
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01/28/2020
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
Attention-based encoder-decoder neural network models have recently show...
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12/12/2019
Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph
The Entity Linking (EL) approaches have been a long-standing research fi...
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12/08/2019
Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
We propose an approach to predict the natural gas price in several days ...
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12/04/2019
Direct Mappings between RDF and Property Graph Databases
Resource Description Framework (RDF) triplestores and Property Graph (PG...
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11/18/2019
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
Knowledge Graph (KG) embedding has attracted more attention in recent ye...
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10/17/2019
Using a KG-Copy Network for Non-Goal Oriented Dialogues
Non-goal oriented, generative dialogue systems lack the ability to gener...
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10/07/2019
The Query Translation Landscape: a Survey
Whereas the availability of data has seen a manyfold increase in past ye...
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10/03/2019
Method for the semantic indexing of concept hierarchies, uniform representation, use of relational database systems and generic and case-based reasoning
This paper presents a method for semantic indexing and describes its app...
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09/27/2019
MDP-based Shallow Parsing in Distantly Supervised QA Systems
Question answering systems over knowledge graphs commonly consist of mul...
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09/02/2019
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score
Knowledge graphs (KGs) represent world's facts in structured forms. KG c...
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08/20/2019
