Search Results for author:
Found 8 papers, 2 papers with code
How do software citation formats evolve over time? A longitudinal analysis of R programming language packages
However, software is hardly consistently cited: one software entity can be cited as different objects, and the citations can change over time.
Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain
This paper presents methods to automatically extract FWS from academic papers and classify them according to the different future directions embodied in the paper's content.
A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application
With the advancement of sciences, many scientific methods are being proposed, modified, and used in academic literature.
Enhancing Identification of Structure Function of Academic Articles Using Contextual Information
In the research on identifying the structure function of chapters in academic articles, only a few studies used the deep learning model and explored the optimization for feature input.
Superradiant detection of microscopic optical dipolar interactions
The interaction between light and cold atoms is a complex phenomenon potentially featuring many-body resonant dipole interactions.
Atomic Physics Quantum Physics
Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis
Analyzing the distribution characteristics of references from different disciplines in research articles is basic to detecting the sources of referred information and identifying contributions of different disciplines.
Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing
To this end, this article takes the field of natural language processing (NLP) as an example and identifies algorithms from academic papers in the field.
WordSup: Exploiting Word Annotations for Character based Text Detection
When applied in scene text detection, we are thus able to train a robust character detector by exploiting word annotations in the rich large-scale real scene text datasets, e. g. ICDAR15 and COCO-text.
Ranked #4 on
Scene Text Detection
on ICDAR 2013
