41 citations · 225 across the 43 of their papers we have counts for
8 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…
Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
Siwen Luo, Mengting Wu, Yiwen Gong +2
Automatic table detection in PDF documents has achieved a great success but tabular data extraction are still challenging due to the integrity and noise issues in detected table ar…
Event-Driven LSTM For Forex Price Prediction
Ling Qi, Matloob Khushi, Josiah Poon
The majority of studies in the field of AI guided financial trading focus on purely applying machine learning algorithms to continuous historical price and technical analysis data.…
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…