activity
20152023
most citedGraph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

160 citations · 345 across the 23 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Video-aided Unsupervised Grammar Induction

Songyang Zhang, Linfeng Song, Lifeng Jin +3

We investigate video-aided grammar induction, which learns a constituency parser from both unlabeled text and its corresponding video. Existing methods of multi-modal grammar induc…

cs.CL2021

Conversational Semantic Role Labeling

Kun Xu, Han Wu, Linfeng Song +3

Semantic role labeling (SRL) aims to extract the arguments for each predicate in an input sentence. Traditional SRL can fail to analyze dialogues because it only works on every sin…

cs.AI2021★ 3 cited

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Jintang Li, Kun Xu, Liang Chen +2

Graph Neural Networks (GNNs) have recently shown to be powerful tools for representing and analyzing graph data. So far GNNs is becoming an increasingly critical role in software e…

cs.CL2021

Structural Information Preserving for Graph-to-Text Generation

Linfeng Song, Ante Wang, Jinsong Su +4

The task of graph-to-text generation aims at producing sentences that preserve the meaning of input graphs. As a crucial defect, the current state-of-the-art models may mess up or…

physics.optics2021★ 1 cited

Programmable Multifunctional Plasmonic Waveguide System based on Coding Metamaterials and Inverse Design

Yihang Dan, Tian Zhang, Jian Dai +1

In this article, we propose a programmable plasmonic waveguide system (PPWS) to achieve several different functions based on metal coding metamaterials (MCMs) and inverse design te…