The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. Lo, K., Chang, J. C., Head, A., Bragg, J., Zhang, A. X., Trier, C., Anastasiades, C., August, T., Authur, R., Bragg, D., authors , + 4., Hearst, M. A., & Weld, D. S. Communications of the ACM, 67(10):50–61, arXiv, 2024. https://scholarphi.org/![The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The exponential growth in the rate of scientific publication and increasing interdisciplinary nature of scientific progress makes it increasingly hard for scholars to keep up with the latest developments. Academic search engines, such as Google Scholar and Semantic Scholar, help scholars discover research papers. Techniques such as automated summarization help scholars triage research papers. But when it comes to actually reading research papers, the process, often based on a static PDF format, has remained largely unchanged for many decades. This is a problem because digesting technical research papers in their conventional formats is difficult.
@article{lo_semantic_2024,
title = {The {Semantic} {Reader} {Project}: {Augmenting} {Scholarly} {Documents} through {AI}-{Powered} {Interactive} {Reading} {Interfaces}},
volume = {67},
shorttitle = {The {Semantic} {Reader} {Project}},
url = {https://dl.acm.org/doi/pdf/10.1145/3659096},
doi = {https://dx.doi.org/10.1145/3659096},
abstract = {The exponential growth in the rate of scientific
publication and increasing interdisciplinary nature
of scientific progress makes it increasingly hard for scholars to keep up with the latest developments. Academic search engines, such as Google Scholar and Semantic Scholar, help scholars discover research papers. Techniques such as automated summarization help scholars triage research papers. But when it comes to actually reading research papers, the process,
often based on a static PDF format, has remained
largely unchanged for many decades. This is a problem because digesting technical research papers in their conventional formats is difficult.},
language = {en},
number = {10},
urldate = {2025-12-30},
journal = {Communications of the ACM},
publisher = {arXiv},
author = {Lo, Kyle and Chang, Joseph Chee and Head, Andrew and Bragg, Jonathan and Zhang, Amy X. and Trier, Cassidy and Anastasiades, Chloe and August, Tal and Authur, Russell and Bragg, Danielle and + 45 authors and Hearst, Marti A. and Weld, Daniel S.},
year = {2024},
note = {https://scholarphi.org/},
keywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction},
pages = {50--61},
}
Downloads: 0
{"_id":"EF4sGWjz3z6WHLRTh","bibbaseid":"lo-chang-head-bragg-zhang-trier-anastasiades-august-etal-thesemanticreaderprojectaugmentingscholarlydocumentsthroughaipoweredinteractivereadinginterfaces-2024","author_short":["Lo, K.","Chang, J. C.","Head, A.","Bragg, J.","Zhang, A. X.","Trier, C.","Anastasiades, C.","August, T.","Authur, R.","Bragg, D.","authors , + 4.","Hearst, M. A.","Weld, D. S."],"bibdata":{"bibtype":"article","type":"article","title":"The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces","volume":"67","shorttitle":"The Semantic Reader Project","url":"https://dl.acm.org/doi/pdf/10.1145/3659096","doi":"https://dx.doi.org/10.1145/3659096","abstract":"The exponential growth in the rate of scientific publication and increasing interdisciplinary nature of scientific progress makes it increasingly hard for scholars to keep up with the latest developments. Academic search engines, such as Google Scholar and Semantic Scholar, help scholars discover research papers. Techniques such as automated summarization help scholars triage research papers. But when it comes to actually reading research papers, the process, often based on a static PDF format, has remained largely unchanged for many decades. This is a problem because digesting technical research papers in their conventional formats is difficult.","language":"en","number":"10","urldate":"2025-12-30","journal":"Communications of the ACM","publisher":"arXiv","author":[{"propositions":[],"lastnames":["Lo"],"firstnames":["Kyle"],"suffixes":[]},{"propositions":[],"lastnames":["Chang"],"firstnames":["Joseph","Chee"],"suffixes":[]},{"propositions":[],"lastnames":["Head"],"firstnames":["Andrew"],"suffixes":[]},{"propositions":[],"lastnames":["Bragg"],"firstnames":["Jonathan"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Amy","X."],"suffixes":[]},{"propositions":[],"lastnames":["Trier"],"firstnames":["Cassidy"],"suffixes":[]},{"propositions":[],"lastnames":["Anastasiades"],"firstnames":["Chloe"],"suffixes":[]},{"propositions":[],"lastnames":["August"],"firstnames":["Tal"],"suffixes":[]},{"propositions":[],"lastnames":["Authur"],"firstnames":["Russell"],"suffixes":[]},{"propositions":[],"lastnames":["Bragg"],"firstnames":["Danielle"],"suffixes":[]},{"firstnames":["+","45"],"propositions":["authors"],"lastnames":[],"suffixes":[]},{"propositions":[],"lastnames":["Hearst"],"firstnames":["Marti","A."],"suffixes":[]},{"propositions":[],"lastnames":["Weld"],"firstnames":["Daniel","S."],"suffixes":[]}],"year":"2024","note":"https://scholarphi.org/","keywords":"Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction","pages":"50–61","bibtex":"@article{lo_semantic_2024,\n\ttitle = {The {Semantic} {Reader} {Project}: {Augmenting} {Scholarly} {Documents} through {AI}-{Powered} {Interactive} {Reading} {Interfaces}},\n\tvolume = {67},\n\tshorttitle = {The {Semantic} {Reader} {Project}},\n\turl = {https://dl.acm.org/doi/pdf/10.1145/3659096},\n\tdoi = {https://dx.doi.org/10.1145/3659096},\n\tabstract = {The exponential growth in the rate of scientific\npublication and increasing interdisciplinary nature\nof scientific progress makes it increasingly hard for scholars to keep up with the latest developments. Academic search engines, such as Google Scholar and Semantic Scholar, help scholars discover research papers. Techniques such as automated summarization help scholars triage research papers. But when it comes to actually reading research papers, the process,\noften based on a static PDF format, has remained\nlargely unchanged for many decades. This is a problem because digesting technical research papers in their conventional formats is difficult.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2025-12-30},\n\tjournal = {Communications of the ACM},\n\tpublisher = {arXiv},\n\tauthor = {Lo, Kyle and Chang, Joseph Chee and Head, Andrew and Bragg, Jonathan and Zhang, Amy X. and Trier, Cassidy and Anastasiades, Chloe and August, Tal and Authur, Russell and Bragg, Danielle and + 45 authors and Hearst, Marti A. and Weld, Daniel S.},\n\tyear = {2024},\n\tnote = {https://scholarphi.org/},\n\tkeywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction},\n\tpages = {50--61},\n}\n\n\n\n","author_short":["Lo, K.","Chang, J. C.","Head, A.","Bragg, J.","Zhang, A. X.","Trier, C.","Anastasiades, C.","August, T.","Authur, R.","Bragg, D.","authors , + 4.","Hearst, M. A.","Weld, D. S."],"key":"lo_semantic_2024","id":"lo_semantic_2024","bibbaseid":"lo-chang-head-bragg-zhang-trier-anastasiades-august-etal-thesemanticreaderprojectaugmentingscholarlydocumentsthroughaipoweredinteractivereadinginterfaces-2024","role":"author","urls":{"Paper":"https://dl.acm.org/doi/pdf/10.1145/3659096"},"keyword":["Computer Science - Artificial Intelligence","Computer Science - Computation and Language","Computer Science - Human-Computer Interaction"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/schulzkx/5158478","dataSources":["JFDnASMkoQCjjGL8E"],"keywords":["computer science - artificial intelligence","computer science - computation and language","computer science - human-computer interaction"],"search_terms":["semantic","reader","project","augmenting","scholarly","documents","through","powered","interactive","reading","interfaces","lo","chang","head","bragg","zhang","trier","anastasiades","august","authur","bragg","authors ","hearst","weld"],"title":"The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces","year":2024}