b'Yin Zhang'

research

∙ 06/01/2023

Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering

The pre-training-fine-tuning paradigm based on layout-aware multimodal p...

0 Wenjin Wang, et al. ∙

research

∙ 05/23/2023

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

To fully evaluate the overall performance of different NLP models in a g...

0 Bo Zhou, et al. ∙

research

∙ 05/14/2023

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

Existing knowledge-enhanced methods have achieved remarkable results in ...

0 Qianglong Chen, et al. ∙

research

∙ 05/13/2023

AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference

Knowledge distillation is of key importance to launching multilingual pr...

0 Qianglong Chen, et al. ∙

research

∙ 04/11/2023

Task Difficulty Aware Parameter Allocation Regularization for Lifelong Learning

Parameter regularization or allocation methods are effective in overcomi...

0 Wenjin Wang, et al. ∙

research

∙ 10/26/2022

OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification

Extreme multi-label text classification (XMTC) is the task of finding th...

0 Jie Cao, et al. ∙

research

∙ 10/12/2022

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

Recent years have witnessed the rise and success of pre-training techniq...

12 Qiming Peng, et al. ∙

research

∙ 09/27/2022

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking

Speech Entity Linking aims to recognize and disambiguate named entities ...

0 Shen Huang, et al. ∙

research

∙ 09/18/2022

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding

Recent efforts of multimodal Transformers have improved Visually Rich Do...

22 Wenjin Wang, et al. ∙

research

∙ 08/06/2022

LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation

Tag-aware recommendation is a task of predicting a personalized list of ...

0 Yin Zhang, et al. ∙

research

∙ 08/01/2022

DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning

Although pre-trained language models (PLMs) have achieved state-of-the-a...

0 Qianglong Chen, et al. ∙

research

∙ 07/06/2022

Rethinking the Value of Gazetteer in Chinese Named Entity Recognition

Gazetteer is widely used in Chinese named entity recognition (NER) to en...

0 Qianglong Chen, et al. ∙

research

∙ 05/17/2022

POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices

We solve a fundamental challenge in semiconductor IC design: the fast an...

0 Xinyu Chen, et al. ∙

research

∙ 08/26/2021

Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning

Stylized image captioning systems aim to generate a caption not only sem...

0 Guodun Li, et al. ∙

research

∙ 07/21/2021

DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework

In multimodal tasks, we find that the importance of text and image modal...

0 Haiwen Hong, et al. ∙

research

∙ 07/17/2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition

In fine-grained image recognition (FGIR), the localization and amplifica...

0 Yunqing Hu, et al. ∙

research

∙ 07/12/2021

Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations

Most recently proposed approaches in dialogue state tracking (DST) lever...

0 Jingyao Zhou, et al. ∙

research

∙ 06/08/2021

Householder-Absolute Neural Layers For High Variability and Deep Trainability

We propose a new architecture for artificial neural networks called Hous...

0 Yueyao Yu, et al. ∙

research

∙ 05/19/2021

Variability of Artificial Neural Networks

What makes an artificial neural network easier to train and more likely ...

7 Yin Zhang, et al. ∙

research

∙ 11/05/2020

Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources

In order to facilitate natural language understanding, the key is to eng...

0 Qianglong Chen, et al. ∙

research

∙ 10/18/2020

Federated Unsupervised Representation Learning

To leverage enormous unlabeled data on distributed edge devices, we form...

0 Fengda Zhang, et al. ∙

research

∙ 10/08/2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Knowledge of a disease includes information of various aspects of the di...

0 Yun He, et al. ∙

research

∙ 10/08/2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge

We present a new benchmark dataset called PARADE for paraphrase identifi...

0 Yun He, et al. ∙

research

∙ 05/27/2020

Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach

Different people have different habits of describing their intents in co...

0 Zehao Lin, et al. ∙

research

∙ 05/21/2020

MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert

How to build a high-quality multi-domain dialogue system is a challengin...

0 Shuke Peng, et al. ∙

research

∙ 03/19/2020

Lifelong Learning with Searchable Extension Units

Lifelong learning remains an open problem. One of its main difficulties ...

0 Wenjin Wang, et al. ∙

research

∙ 02/22/2020

"Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model

Producing natural and accurate responses like human beings is the ultima...

0 Zehao Lin, et al. ∙

research

∙ 12/30/2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation

User-generated item lists are popular on many platforms. Examples includ...

0 Yun He, et al. ∙

research

∙ 08/20/2019

Teacher-Student Framework Enhanced Multi-domain Dialogue Generation

Dialogue systems dealing with multi-domain tasks are highly required. Ho...

0 Shuke Peng, et al. ∙

research

∙ 06/03/2019

Big-Data Clustering: K-Means or K-Indicators?

The K-means algorithm is arguably the most popular data clustering metho...

0 Feiyu Chen, et al. ∙

research

∙ 09/09/2018

Fairness-Aware Recommendation of Information Curators

This paper highlights our ongoing efforts to create effective informatio...

0 Ziwei Zhu, et al. ∙

Yin Zhang

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