A Flexible and Extensible Framework for Multiple Answer Modes Question Answering

no code implementations • ROCLING 2021 • Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su

Only a few of them adopt several answer generation modules for providing different mechanisms; however, they either lack an aggregation mechanism to merge the answers from various modules, or are too complicated to be implemented with neural networks.

Answer Generation Question Answering

GlobalNER: Incorporating Non-local Information into Named Entity Recognition

no code implementations • 6 Mar 2023 • Chiao-Wei Hsu, Keh-Yih Su

Nowadays, many Natural Language Processing (NLP) tasks see the demand for incorporating knowledge external to the local information to further improve the performance.

named-entity-recognition Named Entity Recognition +2