30 citations · 108 across the 57 of their papers we have counts for
6 papers · 1 filter
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
Tianqing Fang, Wenxuan Zhou, Fangyu Liu +3
Data Augmentation (DA) is frequently used to provide additional training data without extra human annotation automatically. However, data augmentation may introduce noisy data that…
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…
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…
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…
Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
Mutian He, Tianqing Fang, Weiqi Wang +1
Conceptualization, or viewing entities and situations as instances of abstract concepts in mind and making inferences based on that, is a vital component in human intelligence for…
Weakly Supervised Text Classification using Supervision Signals from a Language Model
Ziqian Zeng, Weimin Ni, Tianqing Fang +3
Solving text classification in a weakly supervised manner is important for real-world applications where human annotations are scarce. In this paper, we propose to query a masked l…