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08/29/2023
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
There has been a growing interest in developing multimodal machine trans...
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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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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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09/06/2021
Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
Researchers are increasingly focusing on intelligent games as a hot rese...
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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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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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12/24/2020
On Statistical Efficiency in Learning
A central issue of many statistical learning problems is to select an ap...
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05/02/2020
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
Non-autoregressive (NAR) neural machine translation is usually done via ...
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03/13/2020
Automating Botnet Detection with Graph Neural Networks
Botnets are now a major source for many network attacks, such as DDoS at...
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11/13/2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
Graph neural networks (GNNs) are a powerful tool to learn representation...
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07/31/2019
