research
∙
06/13/2023
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
Knowledge base question answering (KBQA) has attracted a lot of interest...
share
research
∙
04/18/2023
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs
Temporal facts, the facts for characterizing events that hold in specifi...
research
∙
11/23/2022
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data
Numerical reasoning over hybrid data containing tables and long texts ha...
research
∙
10/24/2022
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Pre-trained language models (PLMs) have shown their effectiveness in mul...
research
∙
10/10/2022
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
Answering factual questions with temporal intent over knowledge graphs (...
research
∙
03/16/2022
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Recent machine reading comprehension datasets such as ReClor and LogiQA ...
research
∙
08/31/2021
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
Scenario-based question answering (SQA) requires retrieving and reading ...
research
∙
08/31/2021
Automatic Rule Generation for Time Expression Normalization
The understanding of time expressions includes two sub-tasks: recognitio...
research
∙
04/22/2020
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Learning knowledge graph (KG) embeddings has received increasing attenti...
research
∙
03/31/2020
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
Semantic parsing transforms a natural language question into a formal qu...
research
∙
03/08/2020
DeepLENS: Deep Learning for Entity Summarization
Entity summarization has been a prominent task over knowledge graphs. Wh...
research
∙
03/08/2020
ESBM: An Entity Summarization BenchMark
Entity summarization is the problem of computing an optimal compact summ...
research
∙
02/21/2020
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Knowledge bases (KBs) store rich yet heterogeneous entities and facts. E...
research
∙
11/20/2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Graph neural networks (GNNs) have emerged as a powerful paradigm for emb...
research
∙
10/18/2019
Entity Summarization: State of the Art and Future Challenges
The increasing availability of semantic data, which is commonly represen...
research
∙
08/29/2019
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Reusing published datasets on the Web is of great interest to researcher...
research
∙
08/29/2019
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
Formal query generation aims to generate correct executable queries for ...
research
∙
08/20/2019
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Scenario-based question answering (SQA) has attracted increasing researc...
research
∙
07/02/2019
A Framework for Evaluating Snippet Generation for Dataset Search
Reusing existing datasets is of considerable significance to researchers...
research
∙
06/06/2019
Multi-view Knowledge Graph Embedding for Entity Alignment
We study the problem of embedding-based entity alignment between knowled...
research
∙
10/30/2018
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Knowledge graph (KG) completion aims to fill the missing facts in a KG, ...
research
∙
05/15/2018