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05/31/2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a s...
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05/26/2023
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing
The sliding window approach provides an elegant way to handle contexts o...
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05/07/2023
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
Nearly all general-purpose neural semantic parsers generate logical form...
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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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05/03/2022
Inducing and Using Alignments for Transition-based AMR Parsing
Transition-based parsers for Abstract Meaning Representation (AMR) rely ...
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04/18/2022
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases
Knowledge bases (KBs) are often incomplete and constantly changing in pr...
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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 to Transpile AMR into SPARQL
We propose a transition-based system to transpile Abstract Meaning Repre...
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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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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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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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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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07/30/2021
Structural Guidance for Transformer Language Models
Transformer-based language models pre-trained on large amounts of text d...
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04/29/2021
AMR Parsing with Action-Pointer Transformer
Abstract Meaning Representation parsing is a sentence-to-graph predictio...
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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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10/20/2020
Transition-based Parsing with Stack-Transformers
Modeling the parser state is key to good performance in transition-based...
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09/15/2020
Event Presence Prediction Helps Trigger Detection Across Languages
The task of event detection and classification is central to most inform...
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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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05/31/2019
