output
20152025
most citedEnhanced LSTM for Natural Language Inference

1.2k citations

Showing 2020Show all

11 papers · 1 filter

cs.CL2020★ 89 cited

CharBERT: Character-aware Pre-trained Language Model

Wentao Ma, Yiming Cui, Chenglei Si +3

Most pre-trained language models (PLMs) construct word representations at subword level with Byte-Pair Encoding (BPE) or its variations, by which OOV (out-of-vocab) words are almos…

eess.IV2020★ 5 cited

Unsupervised Change Detection in Satellite Images with Generative Adversarial Network

Caijun Ren, Xiangyu Wang, Jian Gao +1

Detecting changed regions in paired satellite images plays a key role in many remote sensing applications. The evolution of recent techniques could provide satellite images with ve…

cs.LG2020

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period

Shuheng Shen, Yifei Cheng, Jingchang Liu +1

Distributed parallel stochastic gradient descent algorithms are workhorses for large scale machine learning tasks. Among them, local stochastic gradient descent (Local SGD) has att…

cs.CL2020★ 5 cited

Conversational Word Embedding for Retrieval-Based Dialog System

Wentao Ma, Yiming Cui, Ting Liu +3

Human conversations contain many types of information, e.g., knowledge, common sense, and language habits. In this paper, we propose a conversational word embedding method named PR…

cs.CL2020★ 14 cited

Benchmarking Robustness of Machine Reading Comprehension Models

Chenglei Si, Ziqing Yang, Yiming Cui +3

Machine Reading Comprehension (MRC) is an important testbed for evaluating models' natural language understanding (NLU) ability. There has been rapid progress in this area, with ne…

cs.CL2020★ 565 cited

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Yiming Cui, Wanxiang Che, Ting Liu +3

Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and consecutive variants have been proposed to further imp…

cs.CL2020★ 17 cited

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

Jia-Chen Gu, Tianda Li, Quan Liu +4

In this paper, we study the problem of employing pre-trained language models for multi-turn response selection in retrieval-based chatbots. A new model, named Speaker-Aware BERT (S…

cs.CL2020★ 11 cited

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension

Yiming Cui, Ting Liu, Ziqing Yang +5

Owing to the continuous efforts by the Chinese NLP community, more and more Chinese machine reading comprehension datasets become available. To add diversity in this area, in this…

cs.CL2020★ 38 cited

Is Graph Structure Necessary for Multi-hop Question Answering?

Nan Shao, Yiming Cui, Ting Liu +2

Recently, attempting to model texts as graph structure and introducing graph neural networks to deal with it has become a trend in many NLP research areas. In this paper, we invest…

cs.CL2020★ 30 cited

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

Ziqing Yang, Yiming Cui, Zhipeng Chen +4

In this paper, we introduce TextBrewer, an open-source knowledge distillation toolkit designed for natural language processing. It works with different neural network models and su…

cs.CV2020★ 386 cited

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66

Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…