14 citations · 23 across the 5 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 2 cited
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters
Marc Velay, Fabrice Daniel
This study evaluates the performances of an LSTM network for detecting and extracting the intent and content of com- mands for a financial chatbot. It presents two techniques, sequ…
cs.LG2018★ 14 cited
Stock Chart Pattern recognition with Deep Learning
Marc Velay, Fabrice Daniel
This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build t…
cs.CL2018★ 3 cited
Using NLP on news headlines to predict index trends
Marc Velay, Fabrice Daniel
This paper attempts to provide a state of the art in trend prediction using news headlines. We present the research done on predicting DJIA trends using Natural Language Processing…