A Dataset of Open-Domain Question Answering with Multiple-Span Answers

no code implementations • 15 Feb 2024 • Zhiyi Luo, Yingying Zhang, Shuyun Luo, Ying Zhao, Wentao Lyu

Multi-span answer extraction, also known as the task of multi-span question answering (MSQA), is critical for real-world applications, as it requires extracting multiple pieces of information from a text to answer complex questions.

Descriptive Open-Domain Question Answering

ExtRA: Extracting Prominent Review Aspects from Customer Feedback

1 code implementation • EMNLP 2018 • Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Zhu

Many existing systems for analyzing and summarizing customer reviews about products or service are based on a number of prominent review aspects.

Controlling Length in Abstractive Summarization Using a Convolutional Neural Network

1 code implementation • EMNLP 2018 • Yizhu Liu, Zhiyi Luo, Kenny Zhu

Convolutional neural networks (CNNs) have met great success in abstractive summarization, but they cannot effectively generate summaries of desired lengths.

Abstractive Text Summarization Machine Translation +2

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media

no code implementations • WS 2017 • Bill Y. Lin, Frank Xu, Zhiyi Luo, Kenny Zhu

In this paper, we present our multi-channel neural architecture for recognizing emerging named entity in social media messages, which we applied in the Novel and Emerging Named Entity Recognition shared task at the EMNLP 2017 Workshop on Noisy User-generated Text (W-NUT).

named-entity-recognition Named Entity Recognition +1