Joo-Kyung Kim

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 20

Top Topics

Language Understanding

Semantically Enriched

Single Label Classification

Feature Interactions

Top Venues

Publications

Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. ACL (Findings) (2024)
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. CoRR (2024)
Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. CoRR (2024)
Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
Cluster-Guided Label Generation in Extreme Multi-Label Classification. CoRR (2023)
Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
Cluster-Guided Label Generation in Extreme Multi-Label Classification. EACL (2023)
Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. CoRR (2023)
Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. CoRR (2021)
Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. ASRU (2021)
Joo-Kyung Kim, Young-Bum Kim
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification. CoRR (2020)
Joo-Kyung Kim, Young-Bum Kim
Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification. ICASSP (2020)
Joo-Kyung Kim, Young-Bum Kim
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. INTERSPEECH (2018)
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. CoRR (2018)
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. NAACL-HLT (3) (2018)
Joo-Kyung Kim, Young-Bum Kim
Supervised Domain Enablement Attention for Personalized Domain Classification. EMNLP (2018)
Joo-Kyung Kim, Young-Bum Kim
Supervised Domain Enablement Attention for Personalized Domain Classification. CoRR (2018)
Joo-Kyung Kim, Young-Bum Kim
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. CoRR (2018)
Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. EMNLP (2017)
Joo-Kyung Kim, Gökhan Tür, Asli Celikyilmaz, Bin Cao, Ye-Yi Wang
Intent detection using semantically enriched word embeddings. SLT (2016)
Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier
Adjusting Word Embeddings with Semantic Intensity Orders. Rep4NLP@ACL (2016)
Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier
Neural word embeddings with multiplicative feature interactions for tensor-based compositions. VS@HLT-NAACL (2015)
Joo-Kyung Kim, Marie-Catherine de Marneffe
Deriving Adjectival Scales from Continuous Space Word Representations. EMNLP (2013)
Joo-Kyung Kim, Byoung-Tak Zhang
Evolving hypernetworks for pattern classification. IEEE Congress on Evolutionary Computation (2007)
Byoung-Tak Zhang, Joo-Kyung Kim
DNA Hypernetworks for Information Storage and Retrieval. DNA (2006)