23 citations · 49 across the 14 of their papers we have counts for
4 papers · 1 filter
Universal Evasion Attacks on Summarization Scoring
Wenchuan Mu, Kwan Hui Lim
The automatic scoring of summaries is important as it guides the development of summarizers. Scoring is also complex, as it involves multiple aspects such as fluency, grammar, and…
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Yan Zhang, Ruidan He, Zuozhu Liu +2
BERT is inefficient for sentence-pair tasks such as clustering or semantic search as it needs to evaluate combinatorially many sentence pairs which is very time-consuming. Sentence…
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2
Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous a…
IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis
Junhua Liu, Yung Chuen Ng, Kristin L. Wood +1
Occupational data mining and analysis is an important task in understanding today's industry and job market. Various machine learning techniques are proposed and gradually deployed…