In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …

We introduce S2ORC, a large corpus of 81.1 M English-language academic papers
spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts …

We introduce a multi-task setup of identifying and classifying entities, relations, and
coreference clusters in scientific articles. We create SciERC, a dataset that includes …

People are sharing their opinions, stories and reviews through online video sharing
websites every day. Studying sentiment and subjectivity in these opinion videos is …

Citations have long been used to characterize the state of a scientific field and to identify
influential works. However, writers use citations for different purposes, and this varied …

The aim of this literature review is to examine the current state of the art in the area of citation
classification. In particular, we investigate the approaches for characterizing citations based …

During real-life interactions, people are naturally gesturing and modulating their voice to
emphasize specific points or to express their emotions. With the recent growth of social …

Bibliometric measures are commonly used to estimate the popularity and the impact of
published research. Existing bibliometric measures provide “quantitative” indicators of how …

Ascertaining the impact of research is significant for the research community and academia
of all disciplines. The only prevalent measure associated with the quantification of research …

For several decades we, among others, have criticized the use of citations for evaluative
purposes. Although these criticisms have been noted, they have been largely brushed aside …