activity
20162023
most citedGMAN: A Graph Multi-Attention Network for Traffic Prediction

87 citations · 208 across the 29 of their papers we have counts for

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2022★ 1 cited

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs

Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya +3

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…

cs.CL2021

Findings on Conversation Disentanglement

Rongxin Zhu, Jey Han Lau, Jianzhong Qi

Conversation disentanglement, the task to identify separate threads in conversations, is an important pre-processing step in multi-party conversational NLP applications such as con…

cs.CL2021

Evaluating Document Coherence Modelling

Aili Shen, Meladel Mistica, Bahar Salehi +3

While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clea…

cs.CL2020

Generalizable and Explainable Dialogue Generation via Explicit Action Learning

Xinting Huang, Jianzhong Qi, Yu Sun +1

Response generation for task-oriented dialogues implicitly optimizes two objectives at the same time: task completion and language quality. Conditioned response generation serves a…

cs.CL2020★ 1 cited

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation

Xinting Huang, Jianzhong Qi, Yu Sun +1

Dialogue policy optimization often obtains feedback until task completion in task-oriented dialogue systems. This is insufficient for training intermediate dialogue turns since sup…

cs.CL2019★ 19 cited

MALA: Cross-Domain Dialogue Generation with Action Learning

Xinting Huang, Jianzhong Qi, Yu Sun +1

Response generation for task-oriented dialogues involves two basic components: dialogue planning and surface realization. These two components, however, have a discrepancy in their…

cs.CL2019★ 3 cited

A Joint Model for Multimodal Document Quality Assessment

Aili Shen, Bahar Salehi, Timothy Baldwin +1

The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a c…