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05/25/2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Multimodal relation extraction (MRE) is the task of identifying the sema...
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05/25/2023
Give Me More Details: Improving Fact-Checking with Latent Retrieval
Evidence plays a crucial role in automated fact-checking. When verifying...
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05/22/2023
AVeriTeC: A dataset for real-world claim verification with evidence from the web
Existing datasets for automated fact-checking have substantial limitatio...
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05/02/2023
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Real-world fact verification task aims to verify the factuality of a cla...
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11/19/2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features
Graph is powerful for representing various types of real-world data. The...
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09/15/2022
Scene Graph Modification as Incremental Structure Expanding
A scene graph is a semantic representation that expresses the objects, a...
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09/11/2021
Uncovering Main Causalities for Long-tailed Information Extraction
Information Extraction (IE) aims to extract structural information from ...
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08/26/2021
A Survey on Automated Fact-Checking
Fact-checking has become increasingly important due to the speed with wh...
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06/10/2021
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Fact verification has attracted a lot of attention in the machine learni...
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10/09/2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
AMR-to-text generation is used to transduce Abstract Meaning Representat...
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05/13/2020
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Document-level relation extraction requires integrating information with...
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08/16/2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
We focus on graph-to-sequence learning, which can be framed as transduci...
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06/18/2019
