70 citations · 357 across the 62 of their papers we have counts for
6 papers · 1 filter
GLocal-K: Global and Local Kernels for Recommender Systems
Soyeon Caren Han, Taejun Lim, Siqu Long +2
Recommender systems typically operate on high-dimensional sparse user-item matrices. Matrix completion is a very challenging task to predict one's interest based on millions of oth…
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Henry Weld, Guanghao Huang, Jean Lee +6
Traditional toxicity detection models have focused on the single utterance level without deeper understanding of context. We introduce CONDA, a new dataset for in-game toxic langua…
FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
Jean Lee, Hoyoul Luis Youn, Nicholas Stevens +2
The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide. Although it is important to analyse the Fed's communi…
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo, Hamish Ivison, Caren Han +1
As the use of deep learning techniques has grown across various fields over the past decade, complaints about the opaqueness of the black-box models have increased, resulting in an…
A survey of joint intent detection and slot-filling models in natural language understanding
H. Weld, X. Huang, S. Long +2
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks have been deemed to proceed independently. However, mo…
A Survey on Extraction of Causal Relations from Natural Language Text
Jie Yang, Soyeon Caren Han, Josiah Poon
As an essential component of human cognition, cause-effect relations appear frequently in text, and curating cause-effect relations from text helps in building causal networks for…