activity
20192022
most citedVD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution

13 citations · 46 across the 18 of their papers we have counts for

collaborators

20 papers

cs.CL2022

ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion

Pei Chen, Wenlin Yao, Hongming Zhang +4

Knowledge base completion (KBC) aims to predict the missing links in knowledge graphs. Previous KBC tasks and approaches mainly focus on the setting where all test entities and rel…

cs.CL2022

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination

Yue Yang, Wenlin Yao, Hongming Zhang +3

Large-scale pretrained language models have made significant advances in solving downstream language understanding tasks. However, they generally suffer from reporting bias, the ph…

cs.CL2022

SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller

Zhaowei Wang, Hongming Zhang, Tianqing Fang +3

In this paper, we propose a new task of sub-event generation for an unseen process to evaluate the understanding of the coherence of sub-event actions and objects. To solve the pro…

cs.CL20221 cited

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

Tianqing Fang, Quyet V. Do, Hongming Zhang +3

Commonsense Knowledge Base (CSKB) Population aims at reasoning over unseen entities and assertions on CSKBs, and is an important yet hard commonsense reasoning task. One challenge…

cs.CL20222 cited

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

Ying Su, Zihao Wang, Tianqing Fang +3

Commonsense reasoning tasks such as commonsense knowledge graph completion and commonsense question answering require powerful representation learning. In this paper, we propose to…

cs.CL20224 cited

Multilingual Word Sense Disambiguation with Unified Sense Representation

Ying Su, Hongming Zhang, Yangqiu Song +1

As a key natural language processing (NLP) task, word sense disambiguation (WSD) evaluates how well NLP models can understand the lexical semantics of words under specific contexts…