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Found 28 papers, 17 papers with code
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases
Question answering over knowledge bases (KBQA) for complex questions is a challenging task in natural language processing.
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction
Employing Large Language Models (LLMs) for semantic parsing has achieved remarkable success.
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
We propose Evidence Pattern Retrieval (EPR) to explicitly model the structural dependencies during subgraph extraction.
Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks
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.
MarkQA: A large scale KBQA dataset with numerical reasoning
We design a logic form in Python format called PyQL to represent the reasoning process of numerical reasoning questions.
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
To verify that QDT can enhance KBQA task, we design a decomposition-based KBQA system called QDTQA.
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs
Temporal facts, the facts for characterizing events that hold in specific time periods, are attracting rising attention in the knowledge graph (KG) research communities.
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 has recently received research attention from the AI community.
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Pre-trained language models (PLMs) have shown their effectiveness in multiple scenarios.
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
Answering factual questions with temporal intent over knowledge graphs (temporal KGQA) attracts rising attention in recent years.
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Recent machine reading comprehension datasets such as ReClor and LogiQA require performing logical reasoning over text.
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
Scenario-based question answering (SQA) requires retrieving and reading paragraphs from a large corpus to answer a question which is contextualized by a long scenario description.
Automatic Rule Generation for Time Expression Normalization
The understanding of time expressions includes two sub-tasks: recognition and normalization.
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
We refer to such contextualized representations of a relation as edge embeddings and interpret them as translations between entity embeddings.
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
This dedicated coarse-grained formalism with a BERT-based parsing algorithm helps to improve the accuracy of the downstream fine-grained semantic parsing.
ESBM: An Entity Summarization BenchMark
In this paper, we create an Entity Summarization BenchMark (ESBM) which overcomes the limitations of existing benchmarks and meets standard desiderata for a benchmark.
DeepLENS: Deep Learning for Entity Summarization
Entity summarization has been a prominent task over knowledge graphs.
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Knowledge bases (KBs) store rich yet heterogeneous entities and facts.
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
As the direct neighbors of counterpart entities are usually dissimilar due to the schema heterogeneity, AliNet introduces distant neighbors to expand the overlap between their neighborhood structures.
Ranked #29 on
Entity Alignment
on DBP15k zh-en
Entity Summarization: State of the Art and Future Challenges
This has motivated fruitful research on automated generation of summaries for entity descriptions to satisfy users' information needs efficiently and effectively.
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Reusing published datasets on the Web is of great interest to researchers and developers.
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
Formal query generation aims to generate correct executable queries for question answering over knowledge bases (KBs), given entity and relation linking results.
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Scenario-based question answering (SQA) has attracted increasing research attention.
A Framework for Evaluating Snippet Generation for Dataset Search
Reusing existing datasets is of considerable significance to researchers and developers.
Multi-view Knowledge Graph Embedding for Entity Alignment
Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of $(subject, relation, object)$.
Reading Comprehension with Graph-based Temporal-Casual Reasoning
Complex questions in reading comprehension tasks require integrating information from multiple sentences.
Graph-based Ontology Summarization: A Survey
Ontologies have been widely used in numerous and varied applications, e. g., to support data modeling, information integration, and knowledge management.
Information Retrieval
