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08/24/2023
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
Large Language Models (LLMs) present strong general capabilities, and a ...
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07/03/2023
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction
In order to construct or extend entity-centric and event-centric knowled...
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05/22/2023
D^2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization
Many-to-many multimodal summarization (M^3S) task aims to generate summa...
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05/14/2023
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
Knowledge distillation (KD) is a promising technique for model compressi...
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05/13/2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
Multilingual vision-language (V L) pre-training has achieved remarkabl...
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05/04/2023
Unified Model Learning for Various Neural Machine Translation
Existing neural machine translation (NMT) studies mainly focus on develo...
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03/07/2023
Is ChatGPT a Good NLG Evaluator? A Preliminary Study
Recently, the emergence of ChatGPT has attracted wide attention from the...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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01/27/2023
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation
Neural chat translation (NCT) aims to translate a cross-lingual chat bet...
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12/15/2022
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization
The goal of multimodal abstractive summarization (MAS) is to produce a c...
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11/28/2022
BJTU-WeChat's Systems for the WMT22 Chat Translation Task
This paper introduces the joint submission of the Beijing Jiaotong Unive...
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10/12/2022
Improved Data Augmentation for Translation Suggestion
Translation suggestion (TS) models are used to automatically provide alt...
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10/09/2022
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Word alignment which aims to extract lexicon translation equivalents bet...
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05/08/2022
Scheduled Multi-task Learning for Neural Chat Translation
Neural Chat Translation (NCT) aims to translate conversational text into...
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04/19/2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
Generating adversarial examples for Neural Machine Translation (NMT) wit...
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03/08/2022
A Variational Hierarchical Model for Neural Cross-Lingual Summarization
The goal of the cross-lingual summarization (CLS) is to convert a docume...
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03/06/2022
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Token-level adaptive training approaches can alleviate the token imbalan...
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02/28/2022
MSCTD: A Multimodal Sentiment Chat Translation Dataset
Multimodal machine translation and textual chat translation have receive...
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09/02/2021
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Neural Chat Translation (NCT) aims to translate conversational text betw...
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08/30/2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Scheduled sampling is widely used to mitigate the exposure bias problem ...
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08/05/2021
WeChat Neural Machine Translation Systems for WMT21
This paper introduces WeChat AI's participation in WMT 2021 shared news ...
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07/23/2021
Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Neural chat translation aims to translate bilingual conversational text,...
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07/22/2021
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Zero-resource named entity recognition (NER) severely suffers from data ...
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07/22/2021
Confidence-Aware Scheduled Sampling for Neural Machine Translation
Scheduled sampling is an effective method to alleviate the exposure bias...
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05/26/2021
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Recently, token-level adaptive training has achieved promising improveme...
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12/09/2020
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
The success of emotional conversation systems depends on sufficient perc...
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08/12/2020
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis
For multiple aspects scenario of aspect-based sentiment analysis (ABSA),...
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04/27/2020
Explicitly Modeling Adaptive Depths for Transformer
The vanilla Transformer conducts a fixed number of computations over all...
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04/04/2020
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
The aspect-based sentiment analysis (ABSA) task remains to be a long-sta...
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04/04/2020
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: a...
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02/29/2020
Depth-Adaptive Graph Recurrent Network for Text Classification
The Sentence-State LSTM (S-LSTM) is a powerful and high efficient graph ...
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09/16/2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
Spoken Language Understanding (SLU) mainly involves two tasks, intent de...
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09/01/2019
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
Aspect based sentiment analysis (ABSA) aims to identify the sentiment po...
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06/06/2019