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05/24/2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
In executable task-oriented semantic parsing, the system aims to transla...
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10/30/2019
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation
Most neural machine translation systems still translate sentences in iso...
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09/13/2019
Adaptive Scheduling for Multi-Task Learning
To train neural machine translation models simultaneously on multiple ta...
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03/12/2019
Context-Aware Learning for Neural Machine Translation
Interest in larger-context neural machine translation, including documen...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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04/17/2017
Does Neural Machine Translation Benefit from Larger Context?
We propose a neural machine translation architecture that models the sur...
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01/23/2017
Adversarial Learning for Neural Dialogue Generation
In this paper, drawing intuition from the Turing test, we propose using ...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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03/05/2015
EmoNets: Multimodal deep learning approaches for emotion recognition in video
The task of the emotion recognition in the wild (EmotiW) Challenge is to...
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12/19/2014
Embedding Word Similarity with Neural Machine Translation
Neural language models learn word representations, or embeddings, that c...
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12/05/2014
On Using Very Large Target Vocabulary for Neural Machine Translation
Neural machine translation, a recently proposed approach to machine tran...
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10/02/2014