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07/24/2023
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Despite the tremendous success of Neural Machine Translation (NMT), its ...
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06/01/2023
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Parameter-efficient fine-tuning (PEFT) of pre-trained language models (P...
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05/26/2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
Parameter-efficient fine-tuning (PEFT) of pre-trained language models ha...
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05/23/2023
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
Using a shared vocabulary is common practice in Multilingual Neural Mach...
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05/19/2023
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
We argue that translation quality alone is not a sufficient metric for m...
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11/09/2022
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
The pre-training of masked language models (MLMs) consumes massive compu...
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08/10/2022
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
Neural Machine Translation (NMT) is an open vocabulary problem. As a res...
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11/04/2020
Optimizing Transformer for Low-Resource Neural Machine Translation
Language pairs with limited amounts of parallel data, also known as low-...
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05/25/2020
The Unreasonable Volatility of Neural Machine Translation Models
Recent works have shown that Neural Machine Translation (NMT) models ach...
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04/29/2020
Conversations with Search Engines
In this paper, we address the problem of answering complex information n...
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03/26/2020
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation
Natural Language Generation (NLG) models are prone to generating repetit...
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11/19/2019
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
Dialogue response generation (DRG) is a critical component of task-orien...
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10/07/2019
BERT for Evidence Retrieval and Claim Verification
Motivated by the promising performance of pre-trained language models, w...
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08/26/2019
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
Background Based Conversations (BBCs) have been introduced to help conve...
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08/18/2019
RefNet: A Reference-aware Network for Background Based Conversation
Existing conversational systems tend to generate generic responses. Rece...
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07/08/2019
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures
Earlier approaches indirectly studied the information captured by the hi...
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02/25/2019
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss
Sequence-to-Sequence (Seq2Seq) models have achieved encouraging performa...
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08/27/2018
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Neural Machine Translation has achieved state-of-the-art performance for...
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03/09/2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
Recent work has shown that recurrent neural networks (RNNs) can implicit...
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02/13/2018
Examining the Tip of the Iceberg: A Data Set for Idiom Translation
Neural Machine Translation (NMT) has been widely used in recent years wi...
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10/09/2017
What does Attention in Neural Machine Translation Pay Attention to?
Attention in neural machine translation provides the possibility to enco...
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08/02/2017
Dynamic Data Selection for Neural Machine Translation
Intelligent selection of training data has proven a successful technique...
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05/01/2017
Learning Topic-Sensitive Word Representations
Distributed word representations are widely used for modeling words in N...
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05/01/2017
Data Augmentation for Low-Resource Neural Machine Translation
The quality of a Neural Machine Translation system depends substantially...
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10/12/2016
Generating captions without looking beyond objects
This paper explores new evaluation perspectives for image captioning and...
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01/06/2016
Recurrent Memory Networks for Language Modeling
Recurrent Neural Networks (RNN) have obtained excellent result in many n...
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09/21/2000
Computing Presuppositions by Contextual Reasoning
This paper describes how automated deduction methods for natural languag...
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09/21/2000
A Resolution Calculus for Dynamic Semantics
This paper applies resolution theorem proving to natural language semant...
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09/21/2000
A Tableau Calculus for Pronoun Resolution
We present a tableau calculus for reasoning in fragments of natural lang...
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09/20/2000
Contextual Inference in Computational Semantics
In this paper, an application of automated theorem proving techniques to...
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09/19/2000
