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20142023
most citedSTC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

619 citations · 3.7k across the 114 of their papers we have counts for

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9 papers · 1 filter

cs.CL2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Guolin Zheng, Yubei Xiao, Ke Gong +3

Unifying acoustic and linguistic representation learning has become increasingly crucial to transfer the knowledge learned on the abundance of high-resource language data for low-r…

cs.CL2021

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation

Chenhe Dong, Guangrun Wang, Hang Xu +3

Pre-trained language models have shown remarkable results on various NLP tasks. Nevertheless, due to their bulky size and slow inference speed, it is hard to deploy them on edge de…

cs.CL2021★ 14 cited

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Pan Lu, Ran Gong, Shibiao Jiang +4

Geometry problem solving has attracted much attention in the NLP community recently. The task is challenging as it requires abstract problem understanding and symbolic reasoning wi…

cs.CL2021

A Data-Centric Framework for Composable NLP Workflows

Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu +15

Empirical natural language processing (NLP) systems in application domains (e.g., healthcare, finance, education) involve interoperation among multiple components, ranging from dat…

cs.CL2020★ 3 cited

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Yubei Xiao, Ke Gong, Pan Zhou +3

Low-resource automatic speech recognition (ASR) is challenging, as the low-resource target language data cannot well train an ASR model. To solve this issue, meta-learning formulat…

cs.CL2020★ 2 cited

Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems

Jinghui Qin, Lihui Lin, Xiaodan Liang +2

A practical automatic textual math word problems (MWPs) solver should be able to solve various textual MWPs while most existing works only focused on one-unknown linear MWPs. Herei…