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Found 9 papers, 0 papers with code
Language Model Augmented Monotonic Attention for Simultaneous Translation
The state-of-the-art adaptive policies for Simultaneous Neural Machine Translation (SNMT) use monotonic attention to perform read/write decisions based on the partial source and target sequences.
Learning without Forgetting: Task Aware Multitask Learning for Multi-Modality Tasks
Inspired by these learning patterns in humans, we suggest a simple yet generic task aware framework to incorporate into existing joint learning strategies.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning
In this paper, we describe end-to-end simultaneous speech-to-text and text-to-text translation systems submitted to IWSLT2020 online translation challenge.
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning
In this paper, we describe the system submitted to the IWSLT 2020 Offline Speech Translation Task.
Ranked #3 on
Speech-to-Text Translation
on MuST-C EN->DE
(using extra training data)
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Small energy masking for improved neural network training for end-to-end speech recognition
More specifically, a time-frequency bin is masked if the filterbank energy in this bin is less than a certain energy threshold.
Look Harder: A Neural Machine Translation Model with Hard Attention
Soft-attention based Neural Machine Translation (NMT) models have achieved promising results on several translation tasks.
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller
Machine reading comprehension helps machines learn to utilize most of the human knowledge written in the form of text.
Ranked #27 on
Question Answering
on TriviaQA
(using extra training data)
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
In recent years many deep neural networks have been proposed to solve Reading Comprehension (RC) tasks.
Ranked #4 on
Question Answering
on NarrativeQA
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension
Reading Comprehension (RC) of text is one of the fundamental tasks in natural language processing.
Ranked #69 on
Question Answering
on SQuAD1.1
