The proposed methods can have different applications, such as improving citation-based techniques at the individual or collective level, but also improving recommendation systems dedicated to information retrieval by identifying articles of importance or interest.
In the paper “Resolving Citation Links With Neural Networks,” Nomoto presents a novel way to tackle the citation resolution through the application of neural network models and identifying some of the operational factors that influence their behavior.
The author introduces the notion approximately correct targets which is “an idea that we should treat sentences that occur in the vicinity of true targets as equally correct, whereby we try to identify an area which is likely to include a true target, instead of finding its exact location.” Experiments in the paper are conducted using three datasets developed by the CL-Sci Summ Shared Task (ACL repository) and a cross validation style setup.
The two papers “The NLP4NLP Corpus (I and II): 50 Years of Publication, Collaboration and Citation in Speech and Language Processing” by Mariani et al.
The second paper investigates the research topics and their evolution over time, the key innovative topics and the authors that introduced them, and also the reuse of papers and plagiarism.
Together, the two papers provide a survey of the literature in NLP and SLP and the data to understand the trends and the evolution of research in this research community.
The further developments in this field of study need producing annotated corpora and shared evaluation protocols in order to enable the comparison between different tools and methods.
The development of such resources is an important step to making scientific reproducibility possible.
More than 36,000 papers in environmental sciences, retrieved from the ISTEX database, were processed to observe the trends in the GEM score over an 80-year period of time.
The results show that abstracts tend to be more generous in recent publications and there seems to be no correlation between the GEM score and the citation rate of the papers.