69 citations · 90 across the 5 of their papers we have counts for
7 papers
Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph
Sung Hwan Jeon, Sungzoon Cho
Discriminating the matched named entity pairs or identifying the entities' canonical forms are critical in text mining tasks. More precise named entity normalization in text mining…
Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words
Jihye Park, Hye Jin Lee, Sungzoon Cho
Increasing attention has been drawn to the sentiment analysis of financial documents. The most popular examples of such documents include analyst reports and economic news, the ana…
SARN: Relational Reasoning through Sequential Attention
Jinwon An, Sungwon Lyu, Sungzoon Cho
This paper proposes an attention module augmented relational network called SARN(Sequential Attention Relational Network) that can carry out relational reasoning by extracting refe…
CRAM: Clued Recurrent Attention Model
Minki Chung, Sungzoon Cho
To overcome the poor scalability of convolutional neural network, recurrent attention model(RAM) selectively choose what and where to look on the image. By directing recurrent atte…
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning
Jihyung Moon, Hyochang Yang, Sungzoon Cho
To solve the text-based question and answering task that requires relational reasoning, it is necessary to memorize a large amount of information and find out the question relevant…
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things
Dohyung Kim, Hyochang Yang, Minki Chung +1
In this paper, we propose Squeezed Convolutional Variational AutoEncoder (SCVAE) for anomaly detection in time series data for Edge Computing in Industrial Internet of Things (IIoT…