30 citations · 90 across the 14 of their papers we have counts for
14 papers
AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis
Ru Zhou, Wenya Guo, Xumeng Liu +3
Multimodal aspect-based sentiment analysis (MABSA) aims to extract aspects from text-image pairs and recognize their sentiments. Existing methods make great efforts to align the wh…
TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding
Zichen Liu, Xuyuan Liu, Yanlong Wen +3
ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improv…
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Yu Zhao, Yike Wu, Xiangrui Cai +3
Entity Alignment (EA) aims to find the equivalent entities between two Knowledge Graphs (KGs). Existing methods usually encode the triples of entities as embeddings and learn to al…
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
Qijie Bai, Changli Nie, Haiwei Zhang +2
Temporal link prediction, aiming to predict future edges between paired nodes in a dynamic graph, is of vital importance in diverse applications. However, existing methods are main…
: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
Qijie Bai, Jiawen Guo, Haiwei Zhang +3
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving…
Joint Open Knowledge Base Canonicalization and Linking
Yinan Liu, Wei Shen, Yuanfei Wang +3
Open Information Extraction (OIE) methods extract a large number of OIE triples (noun phrase, relation phrase, noun phrase) from text, which compose large Open Knowledge Bases (OKB…
BadPrompt: Backdoor Attacks on Continuous Prompts
Xiangrui Cai, Haidong Xu, Sihan Xu +2
The prompt-based learning paradigm has gained much research attention recently. It has achieved state-of-the-art performance on several NLP tasks, especially in the few-shot scenar…
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
Yike Wu, Yu Zhao, Shiwan Zhao +4
Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling
Baohang Zhou, Ying Zhang, Xuhui Sui +2
Slot filling and intent detection are two fundamental tasks in the field of natural language understanding. Due to the strong correlation between these two tasks, previous studies…
Entity Linking Meets Deep Learning: Techniques and Solutions
Wei Shen, Yuhan Li, Yinan Liu +3
Entity linking (EL) is the process of linking entity mentions appearing in web text with their corresponding entities in a knowledge base. EL plays an important role in the fields…
Improving Captioning for Low-Resource Languages by Cycle Consistency
Yike Wu, Shiwan Zhao, Jia Chen +3
Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam +3
Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on medical…
Answering Regular Path Queries on Workflow Provenance
Xiaocheng Huang, Zhuowei Bao, Susan B. Davidson +2
This paper proposes a novel approach for efficiently evaluating regular path queries over provenance graphs of workflows that may include recursion. The approach assumes that an ex…
Search and Result Presentation in Scientific Workflow Repositories
Susan B. Davidson, Xiaocheng Huang, Julia Stoyanovich +1
We study the problem of searching a repository of complex hierarchical workflows whose component modules, both composite and atomic, have been annotated with keywords. Since keywor…