Doo Soon Kim

According to our database1, Doo Soon Kim authored at least 37 papers between 2007 and 2022.

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Bibliography

2022
End-To-End Neural Coreference Resolution Revisited: A Simple Yet Effective Baseline.
Proceedings of the IEEE International Conference on Acoustics, 2022

CAISE: Conversational Agent for Image Search and Editing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Efficient Deployment of Conversational Natural Language Interfaces over Databases.
CoRR, 2020

KPQA: A Metric for Generative Question Answering Using Word Weights.
CoRR, 2020

DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator.
CoRR, 2020

A Multimodal Dialogue System for Conversational Image Editing.
CoRR, 2020

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Adjusting Image Attributes of Localized Regions with Low-level Dialogue.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

TutorialVQA: Question Answering Dataset for Tutorial Videos.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, 2020

ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Learning to Fuse Sentences with Transformers for Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Understanding Points of Correspondence between Sentences for Abstractive Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019
Analyzing Sentence Fusion in Abstractive Summarization.
CoRR, 2019

A Compare-Aggregate Model with Latent Clustering for Answer Selection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Scoring Sentence Singletons and Pairs for Abstractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Knowledge-based Question Answering for DIYers.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
A Logic Based Approach to Answering Questions about Alternatives in DIY Domains.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Table Region Detection on Large-scale PDF Files without Labeled Data.
CoRR, 2015

2013
Joint Extraction and Labeling via Graph Propagation for Dictionary Construction.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Implementing a Data Lineage Tracker.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2010
Improving the Quality of Text Understanding by Delaying Ambiguity Resolution.
Proceedings of the COLING 2010, 2010

2009
Knowledge integration across multiple texts.
Proceedings of the 5th International Conference on Knowledge Capture (K-CAP 2009), 2009

Kleo: A Bootstrapping Learning-by-Reading System.
Proceedings of the Learning by Reading and Learning to Read, 2009

2008
Integrating Declarative Knowledge: Issues, Algorithms and Future Work.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

2007
Handling Granularity Differences in Knowledge Integration.
Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007

Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007


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