Search Results for author: Xuefeng Bai

Found 12 papers, 9 papers with code

Constituency Parsing using LLMs

no code implementations30 Oct 2023 Xuefeng Bai, Jialong Wu, Yulong Chen, Zhongqing Wang, Yue Zhang

Constituency parsing is a fundamental yet unsolved natural language processing task.

Constituency Parsing

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation

1 code implementation8 Jul 2023 Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang

Additionally, based on the same intuition, we propose a 2-Step method, which takes both conversation and summary as input to simulate human annotation process.

Exploiting Abstract Meaning Representation for Open-Domain Question Answering

1 code implementation26 May 2023 Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang

The Open-Domain Question Answering (ODQA) task involves retrieving and subsequently generating answers from fine-grained relevant passages within a database.

Natural Questions Open-Domain Question Answering +1

Investigating Forgetting in Pre-Trained Representations Through Continual Learning

no code implementations10 May 2023 Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie zhou, Yue Zhang

Intuitively, the representation forgetting can influence the general knowledge stored in pre-trained language models (LMs), but the concrete effect is still unclear.

Continual Learning General Knowledge

Cross-domain Generalization for AMR Parsing

1 code implementation22 Oct 2022 Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang

Based on our observation, we investigate two approaches to reduce the domain distribution divergence of text and AMR features, respectively.

AMR Parsing Domain Generalization

Semantic-based Pre-training for Dialogue Understanding

1 code implementation COLING 2022 Xuefeng Bai, Linfeng Song, Yue Zhang

However, these models are typically trained on surface dialogue text, thus are proven to be weak in understanding the main semantic meaning of a dialogue context.

Dialogue Understanding

The Cross-lingual Conversation Summarization Challenge

2 code implementations1 May 2022 Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.

Abstractive Dialogue Summarization Cross-Lingual Abstractive Summarization +3

Graph Pre-training for AMR Parsing and Generation

2 code implementations ACL 2022 Xuefeng Bai, Yulong Chen, Yue Zhang

To our knowledge, we are the first to consider pre-training on semantic graphs.

 Ranked #1 on AMR-to-Text Generation on Bio (BLEU metric, using extra training data)

AMR Parsing AMR-to-Text Generation +1

Semantic Representation for Dialogue Modeling

1 code implementation ACL 2021 Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang

Although neural models have achieved competitive results in dialogue systems, they have shown limited ability in representing core semantics, such as ignoring important entities.

Dialog Relation Extraction Dialogue Understanding +2

Duality Regularization for Unsupervised Bilingual Lexicon Induction

no code implementations3 Sep 2019 Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao

Unsupervised bilingual lexicon induction naturally exhibits duality, which results from symmetry in back-translation.

Bilingual Lexicon Induction Translation

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