output
20192024
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

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5 papers · 1 filter

cs.CL20236 cited

A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation

Chulun Zhou, Yunlong Liang, Fandong Meng +5

Neural chat translation (NCT) aims to translate a cross-lingual chat between speakers of different languages. Existing context-aware NMT models cannot achieve satisfactory performa…

cs.CL202111 cited

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient

Shaokun Zhang, Xiawu Zheng, Chenyi Yang +7

Despite superior performance on various natural language processing tasks, pre-trained models such as BERT are challenged by deploying on resource-constraint devices. Most existing…

cs.CL20215 cited

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

Runxin Xu, Tianyu Liu, Lei Li +1

Document-level event extraction aims to recognize event information from a whole piece of article. Existing methods are not effective due to two challenges of this task: a) the tar…

cs.CL20215 cited

Abstractive Opinion Tagging

Qintong Li, Piji Li, Xinyi Li +3

In e-commerce, opinion tags refer to a ranked list of tags provided by the e-commerce platform that reflect characteristics of reviews of an item. To assist consumers to quickly gr…

cs.CL20201 cited

How Does Selective Mechanism Improve Self-Attention Networks?

Xinwei Geng, Longyue Wang, Xing Wang +3

Self-attention networks (SANs) with selective mechanism has produced substantial improvements in various NLP tasks by concentrating on a subset of input words. However, the underly…