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08/07/2023
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
Meeting summarization has emerged as a promising technique for providing...
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06/28/2023
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills
Traditional multitask learning methods basically can only exploit common...
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05/26/2023
Improved Visual Story Generation with Adaptive Context Modeling
Diffusion models developed on top of powerful text-to-image generation m...
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05/25/2023
Towards Higher Pareto Frontier in Multilingual Machine Translation
Multilingual neural machine translation has witnessed remarkable progres...
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05/02/2023
The Role of Summarization in Generative Agents: A Preliminary Perspective
Generative agents that simulate human society show tremendous potential ...
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04/07/2023
Hierarchical Catalogue Generation for Literature Review: A Benchmark
Multi-document scientific summarization can extract and organize importa...
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02/20/2023
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
Although large-scale video-language pre-training models, which usually b...
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01/23/2023
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning
Electroencephalography-to-Text generation (EEG-to-Text), which aims to d...
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12/16/2022
Controllable Text Generation via Probability Density Estimation in the Latent Space
Previous work on controllable text generation has explored the idea of c...
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10/06/2022
A Distributional Lens for Multi-Aspect Controllable Text Generation
Multi-aspect controllable text generation is a more challenging and prac...
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05/03/2022
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation
Although all-in-one-model multilingual neural machine translation (MNMT)...
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02/24/2022
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words
The standard BERT adopts subword-based tokenization, which may break a w...
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07/07/2021
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
With the development of dialogue systems and natural language generation...
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05/26/2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
Current dialogue summarization systems usually encode the text with a nu...
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04/30/2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Recently, various neural encoder-decoder models pioneered by Seq2Seq fra...
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12/07/2020
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization
Sequence-to-sequence methods have achieved promising results for textual...
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10/20/2020
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
Abstractive dialogue summarization is the task of capturing the highligh...
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02/24/2020
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
In this paper, we focus on a new practical task, document-scale text con...
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02/19/2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming languag...
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09/12/2019
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
Neural semantic parsing has achieved impressive results in recent years,...
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09/05/2019
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
Although Seq2Seq models for table-to-text generation have achieved remar...
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09/12/2018
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Conversational semantic parsing over tables requires knowledge acquiring...
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09/12/2018
Knowledge Based Machine Reading Comprehension
Machine reading comprehension (MRC) requires reasoning about both the kn...
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04/23/2018
Semantic Parsing with Syntax- and Table-Aware SQL Generation
We present a generative model to map natural language questions into SQL...
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12/03/2015
