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04/24/2023
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Instruction fine-tuned language models on a collection of instruction an...
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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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12/15/2021
DocAMR: Multi-Sentence AMR Representation and Evaluation
Despite extensive research on parsing of English sentences into Abstract...
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12/15/2021
Learning Cross-Lingual IR from an English Retriever
We present a new cross-lingual information retrieval (CLIR) model traine...
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12/14/2021
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
AMR parsing has experienced an unprecendented increase in performance in...
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10/29/2021
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Predicting linearized Abstract Meaning Representation (AMR) graphs using...
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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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02/03/2021
Bootstrapping Multilingual AMR with Contextual Word Alignments
We develop high performance multilingualAbstract Meaning Representation ...
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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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10/20/2020
Pushing the Limits of AMR Parsing with Self-Learning
Abstract Meaning Representation (AMR) parsing has experienced a notable ...
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05/18/2020
GPT-too: A language-model-first approach for AMR-to-text generation
Abstract Meaning Representations (AMRs) are broad-coverage sentence-leve...
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03/17/2020