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10/25/2022
KnowGL: Knowledge Generation and Linking from Text
We propose KnowGL, a tool that allows converting text into structured re...
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07/11/2022
Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case
A research division plays an important role of driving innovation in an ...
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02/26/2022
A Generative Model for Relation Extraction and Classification
Relation extraction (RE) is an important information extraction task whi...
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12/07/2021
Semantic Answer Type and Relation Prediction Task (SMART 2021)
Each year the International Semantic Web Conference organizes a set of S...
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11/10/2021
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering
Most existing approaches for Knowledge Base Question Answering (KBQA) fo...
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08/16/2021
Generative Relation Linking for Question Answering over Knowledge Bases
Relation linking is essential to enable question answering over knowledg...
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12/08/2020
Joint Entity and Relation Canonicalization in Open Knowledge Graphs using Variational Autoencoders
Noun phrases and relation phrases in open knowledge graphs are not canon...
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12/03/2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
Knowledge base question answering (KBQA) is an important task in Natural...
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09/16/2020
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
Knowledgebase question answering systems are heavily dependent on relati...
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06/22/2020
Exploring Software Naturalness through Neural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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06/22/2020
Exploring Software Naturalness throughNeural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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04/30/2020
Knowledge Graph Embeddings and Explainable AI
Knowledge graph embeddings are now a widely adopted approach to knowledg...
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02/08/2017