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06/07/2023
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Large Language Models (LLMs) are capable of performing zero-shot closed-...
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10/13/2022
CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing
A bottleneck to developing Semantic Parsing (SP) models is the need for ...
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10/04/2022
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
We introduce Mintaka, a complex, natural, and multilingual dataset desig...
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09/13/2021
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
Recently, end-to-end (E2E) trained models for question answering over kn...
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09/13/2021
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
End-to-end question answering using a differentiable knowledge graph is ...
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08/24/2021
Relation Extraction from Tables using Artificially Generated Metadata
Relation Extraction (RE) from tables is the task of identifying relation...
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04/08/2020
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity
End-to-end neural data-to-text (D2T) generation has recently emerged as ...
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04/07/2020
What do Models Learn from Question Answering Datasets?
While models have reached superhuman performance on popular question ans...
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12/01/2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
In this work, we provide a new formulation for Graph Convolutional Neura...
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11/24/2018