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05/12/2023
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning
Long-horizon task planning is essential for the development of intellige...
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10/19/2022
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Pairing a lexical retriever with a neural re-ranking model has set state...
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04/13/2022
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
Despite recent improvements in abstractive summarization, most current a...
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03/25/2022
UKP-SQUARE: An Online Platform for Question Answering Research
Recent advances in NLP and information retrieval have given rise to a di...
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09/08/2021
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation
Recent work on multilingual AMR-to-text generation has exclusively focus...
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03/16/2021
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Previous work on text generation from graph-structured data relies on pr...
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07/16/2020
Investigating Pretrained Language Models for Graph-to-Text Generation
Graph-to-text generation, a subtask of data-to-text generation, aims to ...
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06/16/2020
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs
We present a novel encoder-decoder architecture for graph-to-text genera...
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05/24/2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
Following the major success of neural language models (LMs) such as BERT...
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01/29/2020
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Recent graph-to-text models generate text from graph-based data using ei...
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09/01/2019
Enhancing AMR-to-Text Generation with Dual Graph Representations
Generating text from graph-based data, such as Abstract Meaning Represen...
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04/11/2017
