no code implementations • Findings (NAACL) 2022 • Jeonghwan Kim, Junmo Kang, Kyung-Min Kim, Giwon Hong, Sung-Hyon Myaeng
Numerical reasoning over text is a challenging subtask in question answering (QA) that requires both the understanding of texts and numbers.
no code implementations • EMNLP 2021 • Jeonghwan Kim, Giwon Hong, Kyung-Min Kim, Junmo Kang, Sung-Hyon Myaeng
Our work rigorously tests state-of-the-art models on DROP, a numerical MRC dataset, to see if they can handle passages that contain out-of-range numbers.
no code implementations • 8 Apr 2024 • Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini
Large Language Models (LLMs) have transformed the Natural Language Processing (NLP) landscape with their remarkable ability to understand and generate human-like text.
1 code implementation • 30 Mar 2024 • Aryo Pradipta Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex
The NLI4CT task assesses Natural Language Inference systems in predicting whether hypotheses entail or contradict evidence from Clinical Trial Reports.
1 code implementation • 2 May 2023 • Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang
Most existing retrieval-augmented language models (LMs) assume a naive dichotomy within a retrieved document set: query-relevance and irrelevance.
no code implementations • EMNLP 2021 • Kyoung-Rok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Heecheol Seo
The semantic matching capabilities of neural information retrieval can ameliorate synonymy and polysemy problems of symbolic approaches.
no code implementations • COLING 2020 • Giwon Hong, Junmo Kang, Doyeon Lim, Sung-Hyon Myaeng
Advances in Question Answering (QA) research require additional datasets for new domains, languages, and types of questions, as well as for performance increases.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Junmo Kang, Giwon Hong, Haritz Puerto San Roman, Sung-Hyon Myaeng
Unsupervised question answering (UQA) has been proposed to avoid the high cost of creating high-quality datasets for QA.
no code implementations • WS 2019 • Rifki Afina Putri, Giwon Hong, Sung-Hyon Myaeng
Open Information Extraction (Open IE) aims at generating entity-relation-entity triples from a large amount of text, aiming at capturing key semantics of the text.