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08/14/2023
Can Knowledge Graphs Simplify Text?
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in ...
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08/07/2023
Simple Rule Injection for ComplEx Embeddings
Recent works in neural knowledge graph inference attempt to combine logi...
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07/21/2023
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering
Check-worthy claim detection aims at providing plausible misinformation ...
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05/24/2023
Reasoning with Language Model is Planning with World Model
Large language models (LLMs) have shown remarkable reasoning capabilitie...
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01/03/2023
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
Knowledge graphs (KG) have served as the key component of various natura...
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11/14/2022
Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion
Over the past few years, large knowledge bases have been constructed to ...
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05/03/2022
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
This paper develops the first question answering dataset (DrugEHRQA) con...
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04/13/2022
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
Recent improvements in KG-to-text generation are due to additional auxil...
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10/30/2021
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
We introduce EventNarrative, a knowledge graph-to-text dataset from publ...
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09/25/2021
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
Textual Question Answering (QA) aims to provide precise answers to user'...
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03/18/2021
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Despite the importance and abundance of temporal knowledge graphs, most ...
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12/02/2019
TutorialVQA: Question Answering Dataset for Tutorial Videos
Despite the number of currently available datasets on video question ans...
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10/31/2019
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
In this paper, we study the problem of learning probabilistic logical ru...
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09/30/2019
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
We propose a neural network architecture for learning vector representat...
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04/20/2019
Mining Rules Incrementally over Large Knowledge Bases
Multiple web-scale Knowledge Bases, e.g., Freebase, YAGO, NELL, have bee...
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04/09/2018
Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study
Background: Major postoperative complications are associated with increa...
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08/21/2012