Source: https://www.manuscriptedit.com/scholar-hangout/ai-scientific-literature-work-sync/
AI and scientific literature work in sync
When scholars choose a topic to work on
their research, they need more sources or materials to review literature
and add more value to their findings. According to Canadian science
publishing’s article from last year, 2.5 million research papers are
published annually while another unidentified source suggests that new
researches are published around the world; approximately 1 million each
year! Which is equal to one every 30 seconds. With the overload of new
papers in each field and more growing every year it is practically
impossible for scholars to keep with the information that is put out in
each paper. Christian Berger’s team from the University of Gothenburg in
Sweden, found a staggering number of papers on the subject; more than
10,000 in the same subject. Fortunately, the team had the support of an
AI system, a writing investigation tool called Iris.ai.
Iris.ai is an AI, a tool developed for
scholars to make writing research papers easier. It is a Berlin-based
company that claims to save 90% of time with 85% precision of data
matching, has more than 70 m open access papers. Iris.ai is programmed
to learn about the topic provided and perform an elaborate frequency
analysis over the text. Then it read the words for which it needs to
find results and additional material that could be helpful for the
paper. It uses a 500-word description of the researcher’s issue, or the
link of their paper and the AI restores a guide to thousands of
coordinating reports. As the website suggests, it is a scientific
writing assistant.
According to Berger, it was “a quick and
nevertheless precise overview of what should be relevant to a certain
research question”. Iris.ai is one among many of the new AI-based tools
offering targeted results of the knowledge landscape. One such tool is
called Semantic Scholar, produced by the Allen Institute for Artificial
Intelligence in Seattle, Washington, and Microsoft Academic.
Although every instrument is different from
each other and gives different output, they all provide researchers
with a different look at the scientific literature than conventional
tools such as PubMed and Google Scholar. Semantic Scholar is a
browser-based search tool that mimics the engines like Google and it is
free. But it is more informative than Google Scholar in terms of
specific results required by researchers. Doug Raymond, Semantic
Scholar’s general manager, says that one million individuals utilize
their service every month. It uses natural language processing or NLP to
extract data while building connections to determine if the information
is relevant and reputable or not.
Artificial intelligence is saving a lot of
time and making it easier and quicker to automate some procedures. In
the academic publishing industry, the Al-based innovations are being
produced and implemented to help both authors and publishers for peer
reviews, searching published content, detecting plagiarism, and
identifying data fabrication. AI could be costly, but it can accelerate a
researchers’ access to new fields. More and more such AI tools are
being developed to cater to various requisites of writing a paper, such
as filtering topics for relevance, keyword search, etc.
Experts who need more assistance for their
specific concerns might consider free Al tool such as Microsoft
Academic or Semantic Scholar. While AI is easing so many burdens and
saving time for a researcher, let’s not forget that it is still machine
intelligence and may require human intervention here and there to make a
paper more presentable and precise.
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