activity
20192021
most citedKnowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

29 citations · 35 across the 5 of their papers we have counts for

collaborators

7 papers

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…

cs.CL2021

Paragraph-level Simplification of Medical Texts

Ashwin Devaraj, Iain J. Marshall, Byron C. Wallace +1

We consider the problem of learning to simplify medical texts. This is important because most reliable, up-to-date information in biomedicine is dense with jargon and thus practica…

cs.CL2021

Did they answer? Subjective acts and intents in conversational discourse

Elisa Ferracane, Greg Durrett, Junyi Jessy Li +1

Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that in…

cs.AI20214 cited

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

Junyi Li, Tianyi Tang, Gaole He +7

In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework. TextBox aims to support a broad set o…

cs.CL202029 cited

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

Junyi Li, Siqing Li, Wayne Xin Zhao +4

Personalized review generation (PRG) aims to automatically produce review text reflecting user preference, which is a challenging natural language generation task. Most of previous…

cs.AI2020

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

Gaole He, Junyi Li, Wayne Xin Zhao +2

The task of Knowledge Graph Completion (KGC) aims to automatically infer the missing fact information in Knowledge Graph (KG). In this paper, we take a new perspective that aims to…