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Taeuk Kim

Hanyang University

28 papers hereh-index 11868 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author5
  • middle author11
  • last author11

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.LG1
affiliations
  • Hanyang University
HomepageORCID 0000-0001-6919-7727
same name
  • Taeuk Kim — 4 papers, h 2
  • Taeuk Kim — 3 papers, h 4
  • Taeuk Kim — 3 papers, h 3
  • Taeuk Kim — 3 papers, h 4
  • Taeuk Kim — 3 papers, h 2
  • Taeuk Kim — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedAre Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction

35 citations · 81 across the 27 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CL2018★ 1 cited

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…

cs.CL2018★ 5 cited

Cell-aware Stacked LSTMs for Modeling Sentences

Jihun Choi, Taeuk Kim, Sang-goo Lee

We propose a method of stacking multiple long short-term memory (LSTM) layers for modeling sentences. In contrast to the conventional stacked LSTMs where only hidden states are fed…

cs.CL2018

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension

Taeuk Kim, Jihun Choi, Sang-goo Lee

We present a novel neural architecture for the Argument Reasoning Comprehension task of SemEval 2018. It is a simple neural network consisting of three parts, collectively judging…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.