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07/25/2023
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
To mitigate potential risks associated with language models, recent AI d...
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06/28/2023
CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models
Holistically measuring societal biases of large language models is cruci...
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12/19/2022
Inverse Reinforcement Learning for Text Summarization
Current state-of-the-art summarization models are trained with either ma...
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12/16/2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Massively multi-task learning with large language models has recently ma...
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12/16/2022
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework
Knowledge distillation (KD) has been widely used for model compression a...
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11/07/2022
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering
Hybrid tabular-textual question answering (QA) requires reasoning from h...
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09/04/2022
Informative Language Representation Learning for Massively Multilingual Neural Machine Translation
In a multilingual neural machine translation model that fully shares par...
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06/10/2022
Unsupervised and Few-shot Parsing from Pretrained Language Models
Pretrained language models are generally acknowledged to be able to enco...
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04/13/2022
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently propos...
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04/03/2022
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Multilingual pre-trained models are able to zero-shot transfer knowledge...
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12/16/2021
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network
Cognitive processing signals can be used to improve natural language pro...
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08/27/2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
This paper presents Self-correcting Encoding (Secoco), a framework that ...
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06/10/2021
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
Most previous studies integrate cognitive language processing signals (e...
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03/30/2021
Auto Correcting in the Process of Translation – Multi-task Learning Improves Dialogue Machine Translation
Automatic translation of dialogue texts is a much needed demand in many ...
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03/05/2021
Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning
In aspect-based sentiment analysis (ABSA), many neural models are equipp...
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02/17/2021
Integrating Pre-trained Model into Rule-based Dialogue Management
Rule-based dialogue management is still the most popular solution for in...
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10/17/2020
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
In order to alleviate the shortage of multi-domain data and to capture d...
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10/02/2020
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
Unsupervised text style transfer is full of challenges due to the lack o...
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07/13/2020
Transformer with Depth-Wise LSTM
Increasing the depth of models allows neural models to model complicated...
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06/25/2020
Learning Source Phrase Representations for Neural Machine Translation
The Transformer translation model (Vaswani et al., 2017) based on a mult...
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05/05/2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
The choice of hyper-parameters affects the performance of neural models....
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04/29/2020
Modeling Long Context for Task-Oriented Dialogue State Generation
Based on the recently proposed transferable dialogue state generator (TR...
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03/30/2020
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Document-level machine translation incorporates inter-sentential depende...
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03/21/2020
Analyzing Word Translation of Transformer Layers
The Transformer translation model is popular for its effective paralleli...
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03/09/2020
Shallow Discourse Annotation for Chinese TED Talks
Text corpora annotated with language-related properties are an important...
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12/05/2019
Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue
The training of task-oriented dialogue systems is often confronted with ...
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12/02/2019
Merging External Bilingual Pairs into Neural Machine Translation
As neural machine translation (NMT) is not easily amenable to explicit c...
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11/25/2019
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
In this paper, we study the problem of enabling neural machine translati...
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10/11/2019
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
This paper presents BiPaR, a bilingual parallel novel-style machine read...
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10/08/2019
Generating Highly Relevant Questions
The neural seq2seq based question generation (QG) is prone to generating...
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09/26/2019
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
Ellipsis and co-reference are common and ubiquitous especially in multi-...
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11/01/2018
Towards Linear Time Neural Machine Translation with Capsule Networks
In this study, we first investigate a novel capsule network with dynamic...
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10/30/2018
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
In this paper, we propose an additionsubtraction twin-gated recurrent ne...
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06/12/2018
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model
Neural machine translation (NMT) systems are usually trained on a large ...
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05/02/2018
Accelerating Neural Transformer via an Average Attention Network
With parallelizable attention networks, the neural Transformer is very f...
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01/16/2018
Variational Recurrent Neural Machine Translation
Partially inspired by successful applications of variational recurrent n...
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11/30/2017
Cache-based Document-level Neural Machine Translation
Sentences in a well-formed text are connected to each other via various ...
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11/15/2017
Bridging Source and Target Word Embeddings for Neural Machine Translation
Neural machine translation systems encode a source sequence into a vecto...
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08/07/2017
Translating Phrases in Neural Machine Translation
Phrases play an important role in natural language understanding and mac...
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05/02/2017
Modeling Source Syntax for Neural Machine Translation
Even though a linguistics-free sequence to sequence model in neural mach...
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04/27/2017
A GRU-Gated Attention Model for Neural Machine Translation
Neural machine translation (NMT) heavily relies on an attention network ...
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10/17/2016
Neural Machine Translation Advised by Statistical Machine Translation
Neural Machine Translation (NMT) is a new approach to machine translatio...
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07/29/2016
Recurrent Neural Machine Translation
The vanilla attention-based neural machine translation has achieved prom...
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05/25/2016
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
In this paper, we propose a bidimensional attention based recursive auto...
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05/25/2016
Variational Neural Machine Translation
Models of neural machine translation are often from a discriminative fam...
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03/12/2016
Variational Neural Discourse Relation Recognizer
Implicit discourse relation recognition is a crucial component for autom...
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03/12/2016
