Xiachong Feng

MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization

2022

Dialogue summarization helps users capture salient information from various types of dialogues has received much attention recently. However, current works mainly focus on English dialogue summarization, leaving other languages less well explored. Therefore, we present …

Large Language Models Meet NLP: A Survey

2024 · arXiv (Cornell University)

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored. This study aims to address this …

Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer

2018

Neural networks have been widely used for high resource language (e.g. English) named entity recognition (NER) and have shown state-of-the-art results.However, for low resource languages, such as Dutch, Spanish, due to the limitation of resources …

Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization

2021

Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long …