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09/15/2022
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
Most existing Time series classification (TSC) models lack interpretabil...
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01/15/2022
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Knowledge Base Question Answering (KBQA) tasks that involve complex reas...
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09/28/2021
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Knowledge Base Question Answering (KBQA) tasks that in-volve complex rea...
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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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11/05/2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Textual entailment is a fundamental task in natural language processing....
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01/09/2019
High Fidelity Vector Space Models of Structured Data
Machine learning systems regularly deal with structured data in real-wor...
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09/15/2018
Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Open-domain question answering (QA) is an important problem in AI and NL...
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09/15/2018
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Natural Language Inference (NLI) is fundamental to many Natural Language...
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06/01/2018