activity
20172022
most citedAre Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction

35 citations · 48 across the 5 of their papers we have counts for

collaborators

9 papers

cs.IR20225 cited

RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer

Mogan Gim, Donghee Choi, Kana Maruyama +4

We propose a computational approach for recipe ideation, a downstream task that helps users select and gather ingredients for creating dishes. To perform this task, we developed Re…

cs.CL202035 cited

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction

Taeuk Kim, Jihun Choi, Daniel Edmiston +1

With the recent success and popularity of pre-trained language models (LMs) in natural language processing, there has been a rise in efforts to understand their inner workings. In…

eess.IV20195 cited

Real-Time Digital Video Streaming at Low-VHF for Compact Autonomous Agents in Complex Scenes

Jihun Choi, Chirag Rao, Fikadu T. Dagefu

This paper presents an experimental investigation of real-time digital video streaming in physically complex Non-Line-Of-Sight (NLoS) channels using a low-power, low-VHF system int…

cs.CL2019

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching

Jihun Choi, Taeuk Kim, Sang-goo Lee

We present a latent variable model for predicting the relationship between a pair of text sequences. Unlike previous auto-encoding--based approaches that consider each sequence sep…

cs.CL20193 cited

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification

Sanghwan Bae, Jihun Choi, Sang-goo Lee

We present several techniques to tackle the mismatch in class distributions between training and test data in the Contextual Emotion Detection task of SemEval 2019, by extending th…

cs.CL2018

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations

Taeuk Kim, Jihun Choi, Daniel Edmiston +2

Most existing recursive neural network (RvNN) architectures utilize only the structure of parse trees, ignoring syntactic tags which are provided as by-products of parsing. We pres…