Search Results for author: SangKeun Jung

Found 6 papers, 2 papers with code

Sequential Alignment Methods for Ensemble Part-of-Speech Tagging

1 code implementation 17-20 January 2022 Jeesu Jung, SangKeun Jung, Yoon-Hyung Roh

Herein, we present a weighted ensemble technique using a sequence alignment approach for a Part-of-speech tagger.

 Ranked #1 on Part-Of-Speech Tagging on Penn Treebank (CoNLL F1 metric)

Part-Of-Speech Tagging

SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

no code implementations22 Sep 2020 Hwaran Lee, Seokhwan Jo, HyungJun Kim, SangKeun Jung, Tae-Yoon Kim

To our best knowledge, our work is the first comprehensive study of a modularized E2E multi-domain dialog system that learning from each component to the entire dialog policy for task success.

reinforcement-learning Reinforcement Learning (RL)

Learning to Embed Semantic Correspondence for Natural Language Understanding

no code implementations CONLL 2018 Sangkeun Jung, Jinsik Lee, Jiwon Kim

While learning embedding models has yielded fruitful results in several NLP subfields, most notably Word2Vec, embedding correspondence has relatively not been well explored especially in the context of natural language understanding (NLU), a task that typically extracts structured semantic knowledge from a text.

Natural Language Understanding Re-Ranking +2

Concept Equalization to Guide Correct Training of Neural Machine Translation

no code implementations IJCNLP 2017 Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, SangKeun Jung

Neural machine translation decoders are usually conditional language models to sequentially generate words for target sentences.

Machine Translation NMT +1

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