1 citations · 1 across the 6 of their papers we have counts for
6 papers
Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
Jianhao Chen, Haoyuan Ouyang, Junyang Ren +3
Facts extraction is pivotal for constructing knowledge graphs. Recently, the increasing demand for temporal facts in downstream tasks has led to the emergence of the task of tempor…
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
Wentao Ding, Jinmao Li, Liangchuan Luo +1
Information retrieval (IR) methods for KGQA consist of two stages: subgraph extraction and answer reasoning. We argue current subgraph extraction methods underestimate the importan…
Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks
Jianhao Chen, Junyang Ren, Wentao Ding +3
Temporal facts, which are used to describe events that occur during specific time periods, have become a topic of increased interest in the field of knowledge graph (KG) research.…
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs
Jianhao Chen, Junyang Ren, Wentao Ding +1
Temporal facts, the facts for characterizing events that hold in specific time periods, are attracting rising attention in the knowledge graph (KG) research communities. In terms o…
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
Wentao Ding, Hao Chen, Huayu Li +1
Answering factual questions with temporal intent over knowledge graphs (temporal KGQA) attracts rising attention in recent years. In the generation of temporal queries, existing KG…
Automatic Rule Generation for Time Expression Normalization
Wentao Ding, Jianhao Chen, Jinmao Li +1
The understanding of time expressions includes two sub-tasks: recognition and normalization. In recent years, significant progress has been made in the recognition of time expressi…