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07/06/2023
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization
Multimodal summarization usually suffers from the problem that the contr...
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05/29/2023
BigTrans: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Large language models (LLMs) demonstrate promising translation performan...
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05/09/2023
Multi-Teacher Knowledge Distillation For Text Image Machine Translation
Text image machine translation (TIMT) has been widely used in various re...
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05/09/2023
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
Text image machine translation (TIMT) aims to translate texts embedded i...
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01/12/2023
Language Cognition and Language Computation – Human and Machine Language Understanding
Language understanding is a key scientific issue in the fields of cognit...
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12/06/2022
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation
A common scenario of Multilingual Neural Machine Translation (MNMT) is t...
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05/26/2022
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions
Role-oriented dialogue summarization is to generate summaries for differ...
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01/18/2022
Instance-aware Prompt Learning for Language Understanding and Generation
Recently, prompt learning has become a new paradigm to utilize pre-train...
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12/08/2021
Learning to Select the Next Reasonable Mention for Entity Linking
Entity linking aims to establish a link between entity mentions in a doc...
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08/30/2021
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization
Dialogue summarization has drawn much attention recently. Especially in ...
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08/19/2021
Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
Spoken Language Understanding (SLU) is one essential step in building a ...
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10/28/2020
Bridging the Modality Gap for Speech-to-Text Translation
End-to-end speech translation aims to translate speech in one language i...
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10/09/2020
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
Document-level neural machine translation has yielded attractive improve...
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04/13/2020
Neural Machine Translation: Challenges, Progress and Future
Machine translation (MT) is a technique that leverages computers to tran...
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12/16/2019
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
Speech-to-text translation (ST), which translates source language speech...
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08/31/2019
NCLS: Neural Cross-Lingual Summarization
Cross-lingual summarization (CLS) is the task to produce a summary in on...
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08/19/2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Identity fraud detection is of great importance in many real-world scena...
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07/01/2019
Understanding Memory Modules on Learning Simple Algorithms
Recent work has shown that memory modules are crucial for the generaliza...
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06/23/2019
Sequence Generation: From Both Sides to the Middle
The encoder-decoder framework has achieved promising process for many se...
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06/12/2019
Incremental Learning from Scratch for Task-Oriented Dialogue Systems
Clarifying user needs is essential for existing task-oriented dialogue s...
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06/05/2019
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
Dialogue contexts are proven helpful in the spoken language understandin...
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05/13/2019
Synchronous Bidirectional Neural Machine Translation
Existing approaches to neural machine translation (NMT) generate the tar...
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04/17/2019
End-to-End Speech Translation with Knowledge Distillation
End-to-end speech translation (ST), which directly translates from sourc...
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02/24/2019
Synchronous Bidirectional Inference for Neural Sequence Generation
In sequence to sequence generation tasks (e.g. machine translation and a...
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11/01/2018
Language-Independent Representor for Neural Machine Translation
Current Neural Machine Translation (NMT) employs a language-specific enc...
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05/25/2018
Phrase Table as Recommendation Memory for Neural Machine Translation
Neural Machine Translation (NMT) has drawn much attention due to its pro...
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01/02/2018
Learning Multimodal Word Representation via Dynamic Fusion Methods
Multimodal models have been proven to outperform text-based models on le...
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11/15/2017
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics
Multimodal models have been proven to outperform text-based approaches o...
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11/13/2017
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT
Neural machine translation (NMT), a new approach to machine translation,...
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11/03/2017
Towards Neural Machine Translation with Partially Aligned Corpora
While neural machine translation (NMT) has become the new paradigm, the ...
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08/30/2017
Look-ahead Attention for Generation in Neural Machine Translation
The attention model has become a standard component in neural machine tr...
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04/21/2017
Neural System Combination for Machine Translation
Neural machine translation (NMT) becomes a new approach to machine trans...
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01/03/2017
Shortcut Sequence Tagging
Deep stacked RNNs are usually hard to train. Adding shortcut connections...
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10/24/2016
Bridging Neural Machine Translation and Bilingual Dictionaries
Neural Machine Translation (NMT) has become the new state-of-the-art in ...
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10/11/2016
An Empirical Exploration of Skip Connections for Sequential Tagging
In this paper, we empirically explore the effects of various kinds of sk...
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10/10/2016
A Dynamic Window Neural Network for CCG Supertagging
Combinatory Category Grammar (CCG) supertagging is a task to assign lexi...
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07/07/2016
Neural Name Translation Improves Neural Machine Translation
In order to control computational complexity, neural machine translation...
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02/05/2015