Semantic Scholar.

Find papers and decide where to start reading

Semantic Scholar is Ai2's scientific search service, not a chat that generates answers to any question. It analyzes metadata and content from available publications, helps find related research and navigate large result sets. Short TLDR summaries are available for some papers and provide guidance before reading.

It is especially useful to start with a well-known article or an accurate set of terms. Searching by common word gives too heterogeneous a picture, whereas the name of the method, the subject of research and the desired sample allow you to quickly separate the main material from neighboring topics.

Library and recommendations

Publications can be viewed without creating an account. An account adds a library, notifications and personalized research recommendations. Saving papers in topic folders gives context to further searches; it does not automatically provide an exhaustive review.

Citation links help you move from an initial paper to earlier and later research. Explore both directions to see the approach's origins and subsequent changes. Citation count remains a bibliographic indicator, not a complete assessment of quality.

How to read with Semantic Reader

Semantic Reader provides additional reading context for supported papers. It can show citation information and other AI guidance while you read a publication. Individual features depend on the corpus and document type; identical processing for every PDF cannot be promised.

The service indexes materials from different sources, but does not issue permission for their use and does not guarantee free full text. If the link leads to the publisher, the terms of access are determined by the publisher or subscription of the organization. A short publication card and the text itself are different levels of access.

Example: expand the collection for the thesis

Choose a relevant publication on speech recognition in noisy environments. Explore related materials, references and subsequent citations, then save several directions in separate folders: data, methods and quality assessment. Do not combine studies of different languages and acoustic conditions into one table without qualifications.

Before including a source in a review, check the year, authors, publication version and availability of the text. Search helps discover literature; the review's author must define inclusion criteria and explain contradictions.

Programmatic access and limitations

The official Academic Graph API and datasets let you use scientific metadata in your own research tools. Ai2 documentation also describes programmatic access via MCP. Separately comply with API key terms, request limits and data attribution requirements.

The main search is free. The translation of the interface into Russian in this card is not confirmed, and the quality of the tips varies by language and field of science. The service helps to find and understand publications, but does not automatically confirm all the statements contained in them.

Suitable tasks

• Find and organize scientific literature on the topic
• Track the links between publications and methods
• Receive recommendations for saved works
• Use scientific metadata through the official API