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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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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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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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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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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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04/13/2021
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition
Self-supervised ASR-TTS models suffer in out-of-domain data conditions. ...
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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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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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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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08/04/2016
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems
In this paper, we advance a recently-proposed uncertainty decoding schem...
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02/05/2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
We propose sparsemax, a new activation function similar to the tradition...
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08/09/2015