31 citations · 56 across the 9 of their papers we have counts for
9 papers
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Wenhao Wang, Yifan Sun, Yi Yang
Image copy detection (ICD) aims to determine whether a query image is an edited copy of any image from a reference set. Currently, there are very limited public benchmarks for ICD,…
Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations
Shifeng Liu, Yifang Sun, Bing Li +3
The rapid growth in published clinical trials makes it difficult to maintain up-to-date systematic reviews, which requires finding all relevant trials. This leads to policy and pra…
FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space
Muhammad Asif Ali, Yifang Sun, Bing Li +1
Fine-Grained Named Entity Typing (FG-NET) aims at classifying the entity mentions into a wide range of entity types (usually hundreds) depending upon the context. While distant sup…
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
Muhammad Asif Ali, Yifang Sun, Bing Li +1
Fine-Grained Named Entity Typing (FG-NET) is a key component in Natural Language Processing (NLP). It aims at classifying an entity mention into a wide range of entity types. Due t…
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Yaoshu Wang, Chuan Xiao, Jianbin Qin +4
Due to the outstanding capability of capturing underlying data distributions, deep learning techniques have been recently utilized for a series of traditional database problems. In…
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
Shifeng Liu, Yifang Sun, Bing Li +2
To tackle Named Entity Recognition (NER) tasks, supervised methods need to obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary, distantly s…
Antonym-Synonym Classification Based on New Sub-space Embeddings
Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou +2
Distinguishing antonyms from synonyms is a key challenge for many NLP applications focused on the lexical-semantic relation extraction. Existing solutions relying on large-scale co…
How to best use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan +2
There are many different ways in which external information might be used in an NLP task. This paper investigates how external syntactic information can be used most effectively in…
Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)
Wen Li, Ying Zhang, Yifang Sun +3
Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications from many domains, such as databases, machine learning, multimedia, and computer v…