Runxin Xu | DeepAI

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∙ 06/18/2022

A Double-Graph Based Framework for Frame Semantic Parsing

Frame semantic parsing is a fundamental NLP task, which consists of thre...

0 Ce Zheng, et al. ∙

∙ 04/30/2022

A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction

Most previous studies aim at extracting events from a single sentence, w...

0 Runxin Xu, et al. ∙

∙ 04/19/2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

As Abstract Meaning Representation (AMR) implicitly involves compound se...

0 Liang Chen, et al. ∙

∙ 04/17/2022

On Effectively Learning of Knowledge in Continual Pre-training

Pre-trained language models (PLMs) like BERT have made significant progr...

0 Cunxiang Wang, et al. ∙

∙ 04/06/2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Structured pruning has been extensively studied on monolingual pre-train...

0 Yanyang Li, et al. ∙

∙ 04/01/2022

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Pre-trained Language Models (PLMs) have achieved remarkable performance ...

0 Ziyun Xu, et al. ∙

∙ 03/06/2022

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

Label smoothing and vocabulary sharing are two widely used techniques in...

0 Liang Chen, et al. ∙

∙ 12/14/2021

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression

Pre-trained Language Models (PLMs) have achieved great success in variou...

0 Runxin Xu, et al. ∙

∙ 09/27/2021

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...

0 Peiyi Wang, et al. ∙

∙ 09/13/2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Recent pretrained language models extend from millions to billions of pa...

0 Runxin Xu, et al. ∙

∙ 08/29/2021

Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification

Few-Shot Event Classification (FSEC) aims at developing a model for even...

0 Peiyi Wang, et al. ∙

∙ 06/21/2021

Explicit Interaction Network for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...

0 Peiyi Wang, et al. ∙

∙ 05/31/2021

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker

Document-level event extraction aims to recognize event information from...

0 Runxin Xu, et al. ∙

∙ 10/27/2020

Volctrans Parallel Corpus Filtering System for WMT 2020

In this paper, we describe our submissions to the WMT20 shared task on p...

0 Runxin Xu, et al. ∙

∙ 09/29/2020

Double Graph Based Reasoning for Document-level Relation Extraction

Document-level relation extraction aims to extract relations among entit...

24 Shuang Zeng, et al. ∙

∙ 07/12/2020

Xiaomingbot: A Multilingual Robot News Reporter

This paper proposes the building of Xiaomingbot, an intelligent, multili...

0 Runxin Xu, et al. ∙

∙ 06/12/2020

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

Due to its simplicity and outstanding ability to generalize, stochastic ...

0 Xunpeng Huang, et al. ∙

∙ 06/12/2020

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

Adaptive gradient methods have attracted much attention of machine learn...

0 Xunpeng Huang, et al. ∙

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