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Semantic Scholar

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1104: 38: 212:, Semantic Scholar is designed to highlight the most important and influential elements of a paper. The AI technology is designed to identify hidden connections and links between research topics. Like the previously cited search engines, Semantic Scholar also exploits graph structures, which include the 192:
Another key AI-powered feature is Research Feeds, an adaptive research recommender that uses AI to quickly learn what papers users care about reading and recommends the latest research to help scholars stay up to date. It uses a state-of-the-art paper embedding model trained using contrastive
162:. One of its aims was to address the challenge of reading numerous titles and lengthy abstracts on mobile devices. It also seeks to ensure that the three million scientific papers published yearly reach readers, since it is estimated that only half of this literature is ever read. 433: 196:
Semantic Scholar also offers Semantic Reader, an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual. Semantic Reader provides in-line citation cards that allow users to see citations with
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made all articles published under the University of Chicago Press available in the Semantic Scholar corpus. At the end of 2020, Semantic Scholar had indexed 190 million papers. In 2020, Semantic Scholar reached seven million users per month.
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One study compared the index scope of Semantic Scholar to Google Scholar, and found that for the papers cited by secondary studies in computer science, the two indices had comparable coverage, each only missing a handful of the papers.
590:...the publicly available corpus compiled by Semantic Scholar – a tool set up in 2015 by the Allen Institute for Artificial Intelligence in Seattle, Washington – amounting to around 200 million articles, including preprints. 960: 425: 315:
platform, was hired to lead the Semantic Scholar project. As of August 2019, the number of included papers metadata (not the actual PDFs) had grown to more than 173 million after the addition of the
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to support the research process, for example by providing automatically generated summaries of scholarly papers. The Semantic Scholar team is actively researching the use of artificial intelligence in
674: 956: 1690: 1019: 201:(short for Too Long, Didn't Read) automatically generated short summaries as they read and skimming highlights that capture key points of a paper so users can digest faster. 1700: 299:
As of January 2018, following a 2017 project that added biomedical papers and topic summaries, the Semantic Scholar corpus included more than 40 million papers from
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Liu, Ying; Gayle, Albert A; Wilder-Smith, Annelies; Rocklöv, Joacim (March 2020). "The reproductive number of COVID-19 is higher compared to SARS coronavirus".
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Artificial intelligence is used to capture the essence of a paper, generating it through an "abstractive" technique. The project uses a combination of
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Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I
1639: 935: 826: 793: 724: 459: 1695: 1409: 1011: 746: 1472: 1124: 1041:"The University of Chicago Press joins more than 500 publishers working with Semantic Scholar to improve search and discoverability" 957:"Tech Moves: Allen Instititue Hires Amazon Alexa Machine Learning Leader; Microsoft Chairman Takes on New Investor Role; and More" 178: 124: 1419: 220:, and the Semantic Scholar Corpus (originally a 45 million papers corpus in computer science, neuroscience and biomedicine). 1669: 817:
Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo; Ferro, Nicola; Silva, Mário J.; Martins, Flávio (2020).
882:"Searching relevant papers for software engineering secondary studies: Semantic Scholar coverage and identification role" 1664: 1634: 1117: 426:"Paul Allen's AI research group unveils program that aims to shake up how we search scientific knowledge. Give it a try" 1629: 321: 170: 116: 112: 851: 1624: 1065: 150:
in its corpus. As of September 2022, it includes over 200 million publications from all fields of science.
317: 989: 1561: 1505: 104: 606: 1601: 1273: 108: 1591: 1566: 1343: 1252: 1164: 159: 147: 128: 1659: 1581: 1546: 1500: 1388: 1348: 1333: 346: 1182: 1140: 927: 1644: 1551: 1187: 1159: 909: 555: 406: 262: 213: 1066:"Semantic Scholar Adds 25 Million Scientific Papers in 2020 Through New Publisher Partnerships" 702:, Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries - JCDL '16, 1607: 1462: 1283: 1204: 901: 832: 822: 799: 789: 720: 661: 537: 398: 334: 254: 232:
called the Semantic Scholar Corpus ID (abbreviated S2CID). The following entry is an example:
182: 881: 1596: 1232: 1154: 893: 703: 666: 545: 527: 388: 383: 308: 300: 246: 186: 166: 135: 120: 1571: 1368: 1358: 1305: 1288: 1214: 738: 1103: 1012:"AI2 joins forces with Microsoft Research to upgrade search tools for scientific studies" 760: 657:"A computer program just ranked the most influential brain scientists of the modern era" 1520: 1490: 1426: 1393: 1363: 1312: 1199: 1194: 1040: 550: 513: 357: 340: 280: 205: 174: 111:
and was publicly released in November 2015. Semantic Scholar uses modern techniques in
37: 1684: 1576: 1383: 1353: 1237: 1222: 913: 574: 410: 266: 50: 631:"Allen Institute's Semantic Scholar now searches across 175 million academic papers" 559: 337: â€“ Examination of the frequency, patterns, and graphs of citations in documents 312: 143: 17: 1556: 1414: 1373: 1317: 1227: 304: 928:"AI2 scales up Semantic Scholar search engine to encompass biomedical research" 697: 1436: 1338: 836: 803: 393: 378: 229: 139: 905: 541: 402: 1457: 1300: 707: 670: 258: 859: 532: 250: 1530: 1525: 1452: 1242: 217: 483: 279:
Semantic Scholar is free to use and unlike similar search engines (i.e.
1467: 1431: 1378: 897: 379:"Artificial-intelligence institute launches free science search engine" 284: 1109: 349: â€“ Creation of knowledge from structured and unstructured sources 1515: 1495: 1278: 1268: 209: 981: 1586: 1247: 1097: 198: 575:"Drowning in the literature? These smart software tools can help" 320:
records. In 2020, a partnership between Semantic Scholar and the
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learning to find papers similar to those in each Library folder.
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Each paper hosted by Semantic Scholar is assigned a unique
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Driving Science Information Discovery in the Digital Age
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is a research tool for scientific literature powered by
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Semantic Scholar began as a database for the topics of
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International Journal of Language and Literary Studies
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Semantic Scholar provides a one-sentence summary of
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PDFFigures 2.0: Mining figures from research papers
80: 66: 56: 44: 360: â€“ Quantitative study of scholarly literature 607:"AI tool summarizes lengthy papers in a sentence" 600: 598: 283:) does not search for material that is behind a 721:"Semantic Scholar | Frequently Asked Questions" 453: 451: 343: â€“ Index of citations between publications 1125: 353:List of academic databases and search engines 307:. In March 2018, Doug Raymond, who developed 8: 460:"An AI helps you summarize the latest in AI" 30: 1691:Bibliographic databases in computer science 696:Christopher Clark; Santosh Divvala (2016), 61:Allen Institute for Artificial Intelligence 1132: 1118: 1110: 1102: 519:Journal of the Medical Library Association 36: 29: 856:Semantic Scholar Lab Open Research Corpus 549: 531: 392: 1701:Applications of artificial intelligence 424:Eunjung Cha, Ariana (3 November 2015). 369: 146:. In 2017, the system began including 1640:Academic databases and search engines 7: 739:"Semantic Scholar | Semantic Reader" 573:Matthews, David (1 September 2021). 507: 505: 503: 436:from the original on 6 November 2019 322:University of Chicago Press Journals 189:, entities, and venues from papers. 1064:Dunn, Adriana (December 14, 2020). 992:from the original on 11 August 2019 749:from the original on July 15, 2023. 727:from the original on July 15, 2023. 655:Bohannon, John (11 November 2016). 185:, and to extract relevant figures, 27:Search service for journal articles 1410:Academic journal publishing reform 788:. Chandos Publishing. p. 91. 677:from the original on 29 April 2020 214:Microsoft Academic Knowledge Graph 25: 605:Grad, Peter (November 24, 2020). 458:Hao, Karen (November 18, 2020). 295:Number of users and publications 1022:from the original on 2019-08-25 963:from the original on 2018-05-10 938:from the original on 2018-01-19 880:Hannousse, Abdelhakim (2021). 512:Fricke, Suzanne (2018-01-12). 181:to the traditional methods of 1: 1670:Category:Scientific documents 1665:Category:Academic publishing 784:Baykoucheva, Svetla (2021). 488:research.semanticscholar.org 484:"Semantic Scholar Research" 171:natural language processing 117:natural language processing 113:natural language processing 1717: 1483:Indexes and search engines 239:Journal of Travel Medicine 125:human–computer interaction 1696:Scholarly search services 394:10.1038/nature.2015.18703 107:. It is developed at the 35: 959:. GeekWire. 2018-05-02. 318:Microsoft Academic Graph 1660:Style/formatting guides 1562:Scholarly communication 1262:Other publication types 671:10.1126/science.aal0371 105:artificial intelligence 1602:Least publishable unit 1274:Collection of articles 852:"Open Research Corpus" 850:Ammar, Waleed (2019). 377:Jones, Nicola (2015). 272: 109:Allen Institute for AI 1592:Electronic publishing 1567:Scientific literature 1344:Article-level metrics 533:10.5195/jmla.2018.280 464:MIT Technology Review 234: 160:scientific literature 148:biomedical literature 129:information retrieval 86:; 8 years ago 84:November 2, 2015 1635:Open-access journals 1582:Open scientific data 1389:SCImago Journal Rank 1349:Author-level metrics 1334:Acknowledgment index 1045:RCNi Company Limited 347:Knowledge extraction 311:initiatives for the 216:, Springer Nature's 1630:Scientific journals 1141:Academic publishing 430:The Washington Post 251:10.1093/jtm/taaa021 224:Article identifier 32: 1650:Copyright policies 1645:University presses 1552:Scientific writing 1420:Citation advantage 1327:Impact and ranking 1160:Scientific journal 982:"Semantic Scholar" 898:10.1049/sfw2.12011 761:"Semantic Scholar" 514:"Semantic Scholar" 177:to add a layer of 18:S2CID (identifier) 1678: 1677: 1655:Preprint policies 1625:Academic journals 1608:Publish or perish 1463:Version of record 1403:Reform and access 1205:Literature review 828:978-3-030-45438-8 795:978-0-12-823724-3 335:Citation analysis 204:In contrast with 183:citation analysis 179:semantic analysis 98: 97: 16:(Redirected from 1708: 1597:Ingelfinger rule 1511:Semantic Scholar 1233:Technical report 1155:Academic journal 1134: 1127: 1120: 1111: 1106: 1101: 1100: 1098:Official website 1084: 1083: 1081: 1079: 1073:Semantic Scholar 1070: 1061: 1055: 1054: 1052: 1051: 1037: 1031: 1030: 1028: 1027: 1008: 1002: 1001: 999: 997: 986:Semantic Scholar 978: 972: 971: 969: 968: 953: 947: 946: 944: 943: 924: 918: 917: 877: 871: 870: 868: 867: 858:. Archived from 847: 841: 840: 814: 808: 807: 781: 775: 774: 772: 771: 757: 751: 750: 743:Semantic Scholar 735: 729: 728: 717: 711: 710: 693: 687: 686: 684: 682: 652: 646: 645: 643: 642: 627: 621: 620: 618: 617: 602: 593: 592: 587: 585: 570: 564: 563: 553: 535: 509: 498: 497: 495: 494: 480: 474: 473: 471: 470: 455: 446: 445: 443: 441: 421: 415: 414: 396: 374: 309:machine learning 301:computer science 270: 167:machine learning 136:computer science 121:machine learning 101:Semantic Scholar 94: 92: 87: 76: 73: 40: 33: 31:Semantic Scholar 21: 1716: 1715: 1711: 1710: 1709: 1707: 1706: 1705: 1681: 1680: 1679: 1674: 1613: 1572:Learned society 1535: 1477: 1441: 1398: 1369:Journal ranking 1359:Citation impact 1322: 1257: 1215:Grey literature 1209: 1171: 1143: 1138: 1096: 1095: 1092: 1087: 1077: 1075: 1068: 1063: 1062: 1058: 1049: 1047: 1039: 1038: 1034: 1025: 1023: 1010: 1009: 1005: 995: 993: 980: 979: 975: 966: 964: 955: 954: 950: 941: 939: 926: 925: 921: 879: 878: 874: 865: 863: 849: 848: 844: 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Index

S2CID (identifier)

Search engine
Allen Institute for Artificial Intelligence
semanticscholar.org
artificial intelligence
Allen Institute for AI
natural language processing
natural language processing
machine learning
human–computer interaction
information retrieval
computer science
geoscience
neuroscience
biomedical literature
scientific literature
machine learning
natural language processing
machine vision
semantic analysis
citation analysis
tables
TLDR
Google Scholar
PubMed
Microsoft Academic Knowledge Graph
SciGraph
identifier
doi

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