NATURAL LANGUAGE PROCESSING AI Could Help Researchers Determine Which Papers Can Be Replicated, Aims To Address Reproduction Crisis
More and more attention is being paid in recent years to what scholars and researchers dub the replication/reproducability crisis. Many studies simply fail to give the same significant results when replication of the study is attempted, and as a result, the scientific community is concerned that findings are often overemphasized.
If the AI system can reliably discriminate betweenreproducible and non-reproducible studies, it could help universities, research institutes, companies, and other entities filter through thousands of research papers to determine which papers are most likely to be useful and reliable.
The model actually employs natural language processing techniques to try and quantify the reliability of a paper. The system extracts patterns in the language used by the authors of a paper, finding that some word patterns indicate greater reliability than others.
The research team drew upon psychological research as old as the 1960’s, which found that people often communicate the level of confidence they have in their ideas through the words that they use.
See the full story here: https://www.unite.ai/ai-could-help-researchers-determine-which-papers-can-be-replicated-aims-to-address-reproduction-crisis/