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20192022
most citedKnowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

29 citations · 54 across the 9 of their papers we have counts for

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10 papers · 1 filter

cs.CL2022

ProtoTEx: Explaining Model Decisions with Prototype Tensors

Anubrata Das, Chitrank Gupta, Venelin Kovatchev +2

We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks. ProtoTEx faithfully explains model decisions based on prototype tensors that enc…

cs.CL20213 cited

AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses

Yaman Kumar Singla, Swapnil Parekh, Somesh Singh +3

Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by states and language testing agencies alike to evaluate millions of candidates for life-changing…

cs.CL20211 cited

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

Junyi Li, Tianyi Tang, Wayne Xin Zhao +3

This paper studies how to automatically generate a natural language text that describes the facts in knowledge graph (KG). Considering the few-shot setting, we leverage the excelle…

cs.CL202115 cited

Pretrained Language Models for Text Generation: A Survey

Junyi Li, Tianyi Tang, Wayne Xin Zhao +1

Text generation has become one of the most important yet challenging tasks in natural language processing (NLP). The resurgence of deep learning has greatly advanced this field by…

cs.CL2021

Knowledge-based Review Generation by Coherence Enhanced Text Planning

Junyi Li, Wayne Xin Zhao, Zhicheng Wei +2

As a natural language generation task, it is challenging to generate informative and coherent review text. In order to enhance the informativeness of the generated text, existing s…

cs.CL20212 cited

Learning to Generate Code Comments from Class Hierarchies

Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie +3

Descriptive code comments are essential for supporting code comprehension and maintenance. We propose the task of automatically generating comments for overriding methods. We formu…