Search Results for author: Zeyu Zhang

Found 12 papers, 4 papers with code

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

1 code implementation15 Jun 2022 Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen

In order to support the study of recent advances in recommender systems, this paper presents an extended recommendation library consisting of eight packages for up-to-date topics and architectures.

Data Augmentation Fairness +2

Double Retrieval and Ranking for Accurate Question Answering

no code implementations16 Jan 2022 Zeyu Zhang, Thuy Vu, Alessandro Moschitti

Recent work has shown that an answer verification step introduced in Transformer-based answer selection models can significantly improve the state of the art in Question Answering.

Answer Selection

In Situ Answer Sentence Selection at Web-scale

no code implementations16 Jan 2022 Zeyu Zhang, Thuy Vu, Alessandro Moschitti

Current answer sentence selection (AS2) applied in open-domain question answering (ODQA) selects answers by ranking a large set of possible candidates, i. e., sentences, extracted from the retrieved text.

Multi-Task Learning Open-Domain Question Answering

A Comparative Study on Robust Graph Neural Networks to Structural Noises

1 code implementation11 Dec 2021 Zeyu Zhang, Yulong Pei

Although a series of robust GNNs have been proposed, they are evaluated with different structural noises, and it lacks a systematic comparison with consistent settings.

Joint Models for Answer Verification in Question Answering Systems

no code implementations ACL 2021 Zeyu Zhang, Thuy Vu, Alessandro Moschitti

This paper studies joint models for selecting correct answer sentences among the top $k$ provided by answer sentence selection (AS2) modules, which are core components of retrieval-based Question Answering (QA) systems.

Question Answering

A Dashboard for Mitigating the COVID-19 Misinfodemic

no code implementations EACL 2021 Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak, Chengkai Li

This paper describes the current milestones achieved in our ongoing project that aims to understand the surveillance of, impact of and intervention on COVID-19 misinfodemic on Twitter.


Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

1 code implementation30 Mar 2021 Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

In this paper, we rethink the problem of scene reconstruction from an embodied agent's perspective: While the classic view focuses on the reconstruction accuracy, our new perspective emphasizes the underlying functions and constraints such that the reconstructed scenes provide \em{actionable} information for simulating \em{interactions} with agents.

Common Sense Reasoning

Lineage Evolution Reinforcement Learning

no code implementations26 Sep 2020 Zeyu Zhang, Guisheng Yin

In the process of agent evolution, we refer to the characteristics of natural genetic behavior, add lineage factor to ensure the retention of potential performance of agent, and comprehensively consider the current performance and lineage value when evaluating the performance of agent.


A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization

no code implementations ACL 2020 Dongfang Xu, Zeyu Zhang, Steven Bethard

Concept normalization, the task of linking textual mentions of concepts to concepts in an ontology, is challenging because ontologies are large.

Congestion-aware Evacuation Routing using Augmented Reality Devices

no code implementations25 Apr 2020 Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu

We present a congestion-aware routing solution for indoor evacuation, which produces real-time individual-customized evacuation routes among multiple destinations while keeping tracks of all evacuees' locations.

ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition

no code implementations LREC 2020 Hannah Smith, Zeyu Zhang, John Culnan, Peter Jansen

Named entity recognition identifies common classes of entities in text, but these entity labels are generally sparse, limiting utility to downstream tasks.

Classification General Classification +4

Visualizing How Embeddings Generalize

1 code implementation16 Sep 2019 Xiaotong Liu, Hong Xuan, Zeyu Zhang, Abby Stylianou, Robert Pless

Deep metric learning is often used to learn an embedding function that captures the semantic differences within a dataset.

Metric Learning

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