A neural approach for detecting inline mathematical expressions from scientific documents

[1]  Masakazu Suzuki,et al.  Detecting Mathematical Expressions in Scientific Document Images Using a U-Net Trained on a Diverse Dataset , 2019, IEEE Access.

[2]  Jun Du,et al.  Track, Attend, and Parse (TAP): An End-to-End Framework for Online Handwritten Mathematical Expression Recognition , 2019, IEEE Transactions on Multimedia.

[3]  Ce Zhang,et al.  A generative adversarial network with structural enhancement and spectral supplement for pan-sharpening , 2020, Neural Computing and Applications.

[4]  Andrei Voronkov,et al.  PDFX: fully-automated PDF-to-XML conversion of scientific literature , 2013, ACM Symposium on Document Engineering.

[5]  Lihong Li,et al.  Neural Approaches to Conversational AI , 2019, Found. Trends Inf. Retr..

[6]  Wei-Ta Chu,et al.  Mathematical Formula Detection in Heterogeneous Document Images , 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence.

[7]  Dominika Tkaczyk,et al.  CERMINE: automatic extraction of structured metadata from scientific literature , 2015, International Journal on Document Analysis and Recognition (IJDAR).

[8]  Liangcai Gao,et al.  Mathematical Formula Identification in PDF Documents , 2011, 2011 International Conference on Document Analysis and Recognition.

[9]  Henry S. Baird,et al.  Distinguishing mathematics notation from English text using computational geometry , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[10]  Cornelia Caragea,et al.  Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents , 2019, WWW.

[11]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[12]  Douglas W. Oard,et al.  Tangent-CFT: An Embedding Model for Mathematical Formulas , 2019, ICTIR.

[13]  Xing Xu,et al.  Robust Math Formula Recognition in Degraded Chinese Document Images , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[14]  Jöran Beel,et al.  Evaluation of header metadata extraction approaches and tools for scientific PDF documents , 2013, JCDL '13.

[15]  Bui Hai Phong,et al.  Mathematical Variable Detection in PDF Scientific Documents , 2019, ACIIDS.

[16]  Volker Sorge,et al.  Improving Formula Analysis with Line and Mathematics Identification , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[17]  Masakazu Suzuki,et al.  Mathematical formula recognition using virtual link network , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[18]  B. B. Chaudhuri,et al.  A syntactic approach for processing mathematical expressions in printed documents , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[19]  Robert P. Futrelle,et al.  Extraction,layout analysis and classification of diagrams in PDF documents , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[20]  Harold Mouchère,et al.  A tree-BLSTM-based recognition system for online handwritten mathematical expressions , 2018, Neural Computing and Applications.

[21]  Jing Sun,et al.  A Preprocessing and Analyzing Method of Images in PDF Documents for Mathematical Expression Retrieval , 2014 .

[22]  Akiko Aizawa,et al.  Detecting In-line Mathematical Expressions in Scientific Documents , 2017, DocEng.

[23]  Jun Du,et al.  Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

[24]  Ali Farhadi,et al.  Bidirectional Attention Flow for Machine Comprehension , 2016, ICLR.

[25]  Zhi Tang,et al.  Identification of embedded mathematical formulas in PDF documents using SVM , 2012, Electronic Imaging.

[26]  Zhi Tang,et al.  Graph-based layout analysis for PDF documents , 2013, Electronic Imaging.

[27]  Giang Son Tran,et al.  Handwritten Mathematical Expression Recognition Using Convolutional Neural Network , 2018, 2018 3rd International Conference on Control, Robotics and Cybernetics (CRC).

[28]  Utpal Garain,et al.  Identification of Mathematical Expressions in Document Images , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[29]  Patrice Lopez,et al.  GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications , 2009, ECDL.