Yixin Cao
11 papers in the PaperMetrix corpus
Papers by this author
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How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
2021 · arXiv (Cornell University)
Knowledge Graph (KG) and attention mechanism have been demonstrated effective in introducing and selecting useful information for weakly supervised methods. However, only qualitative analysis and ablation study are provided as evidence. In this paper, we …
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Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
In this paper, we propose an effective yet efficient model PAIE for both sentence-level and document-level Event Argument Extraction (EAE), which also generalizes well when there is a lack of training data. On the one …
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CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification
2023
Document-level Event Causality Identification (DECI) aims to recognize causal relations between events within a document. Recent studies focus on building a document-level graph for cross-sentence reasoning, but ignore important causal structures — there are one …
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Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
2024 · arXiv (Cornell University)
The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events. We refer to the complex events composed of many news articles …
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Sequential Recommendation with User Memory Networks
2018
User preferences are usually dynamic in real-world recommender systems, and a user»s historical behavior records may not be equally important when predicting his/her future interests. Existing recommendation algorithms -- including both shallow and deep approaches …
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Explainable Reasoning over Knowledge Graphs for Recommendation
2018 · arXiv (Cornell University)
Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich …
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Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
2019
Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete and simply transfer the ”knowledge” in KG at the …
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KGAT
2019
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like factorization machine (FM) cast it as a supervised learning …
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Low-Resource Name Tagging Learned with Weakly Labeled Data
2019
Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
2020
The curse of knowledge can impede communication between experts and laymen. We propose a new task of expertise style transfer and contribute a manually annotated dataset with the goal of alleviating such cognitive biases. Solving …
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Reinforced negative sampling over knowledge graph for recommendation
2020 · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
National Research Foundation (NRF) Singapore under International Research Centre in Singapore Funding Initiative