Search Results for author: Yiqing Xie

Found 8 papers, 7 papers with code

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers

1 code implementation21 May 2023 Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song

This paper explores the effectiveness of model-generated signals in improving zero-shot generalization of text-to-text Transformers such as T5.

Unsupervised Dense Retrieval Training with Web Anchors

1 code implementation10 May 2023 Yiqing Xie, Xiao Liu, Chenyan Xiong

Based on their commonalities, we train an unsupervised dense retriever, Anchor-DR, with a contrastive learning task that matches the anchor text and the linked document.

Contrastive Learning Question Answering +1

Open-Vocabulary Argument Role Prediction for Event Extraction

1 code implementation3 Nov 2022 Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han

Specifically, we formulate the role prediction problem as an in-filling task and construct prompts for a pre-trained language model to generate candidate roles.

Event Extraction Language Modelling

Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion

1 code implementation Findings (ACL) 2022 Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han

Typical DocRE methods blindly take the full document as input, while a subset of the sentences in the document, noted as the evidence, are often sufficient for humans to predict the relation of an entity pair.

Document-level Relation Extraction

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

1 code implementation13 Oct 2020 Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han

Taxonomy is not only a fundamental form of knowledge representation, but also crucial to vast knowledge-rich applications, such as question answering and web search.

Question Answering

Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion

1 code implementation27 Jan 2020 Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han

Given a small set of seed entities (e. g., ``USA'', ``Russia''), corpus-based set expansion is to induce an extensive set of entities which share the same semantic class (Country in this example) from a given corpus.

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