5 citations · 16 across the 9 of their papers we have counts for
9 papers
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim +5
Despite recent explosion of interests in in-context learning, the underlying mechanism and the precise impact of the quality of demonstrations remain elusive. Intuitively, ground-t…
Human-Like Active Learning: Machines Simulating the Human Learning Process
Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang +1
Although the use of active learning to increase learners' engagement has recently been introduced in a variety of methods, empirical experiments are lacking. In this study, we atte…
Ruminating Word Representations with Random Noised Masker
Hwiyeol Jo, Byoung-Tak Zhang
We introduce a training method for both better word representation and performance, which we call GROVER (Gradual Rumination On the Vector with maskERs). The method is to gradually…
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Hwiyeol Jo, Ceyda Cinarel
We propose a novel and simple method for semi-supervised text classification. The method stems from the hypothesis that a classifier with pretrained word embeddings always outperfo…
Expansional Retrofitting for Word Vector Enrichment
Hwiyeol Jo
Retrofitting techniques, which inject external resources into word representations, have compensated the weakness of distributed representations in semantic and relational knowledg…
Psychological State in Text: A Limitation of Sentiment Analysis
Hwiyeol Jo, Jeong Ryu
Starting with the idea that sentiment analysis models should be able to predict not only positive or negative but also other psychological states of a person, we implement a sentim…
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Hwiyeol Jo, Stanley Jungkyu Choi
We propose post-processing method for enriching not only word representation but also its vector space using semantic lexicons, which we call extrofitting. The method consists of 3…
What we really want to find by Sentiment Analysis: The Relationship between Computational Models and Psychological State
Hwiyeol Jo, Soo-Min Kim, Jeong Ryu
As the first step to model emotional state of a person, we build sentiment analysis models with existing deep neural network algorithms and compare the models with psychological me…
Re-presenting a Story by Emotional Factors using Sentimental Analysis Method
Hwiyeol Jo, Yohan Moon, Jong In Kim +1
Remembering an event is affected by personal emotional status. We examined the psychological status and personal factors; depression (Center for Epidemiological Studies - Depressio…