Saber Akhondi
Saber Akhondi
Scientific Researcher, Principal NLP Scientist Elsevier
Verified email at erasmusmc.nl - Homepage
Title
Cited by
Cited by
Year
The CHEMDNER corpus of chemicals and drugs and its annotation principles
M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ...
Journal of cheminformatics 7 (1), 1-17, 2015
1592015
Overview of the BioCreative VI chemical-protein interaction Track
M Krallinger, O Rabal, SA Akhondi, MP Pérez, J Santamaría, ...
Proceedings of the sixth BioCreative challenge evaluation workshop 1, 141-146, 2017
952017
Annotated chemical patent corpus: a gold standard for text mining
SA Akhondi, AG Klenner, C Tyrchan, AK Manchala, K Boppana, D Lowe, ...
PloS one 9 (9), e107477, 2014
422014
Consistency of systematic chemical identifiers within and between small-molecule databases
SA Akhondi, JA Kors, S Muresan
Journal of cheminformatics 4 (1), 1-7, 2012
392012
A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
JA Kors, S Clematide, SA Akhondi, EM Van Mulligen, ...
Journal of the American Medical Informatics Association 22 (5), 948-956, 2015
372015
Extraction of chemical-induced diseases using prior knowledge and textual information
E Pons, BFH Becker, SA Akhondi, Z Afzal, EM Van Mulligen, JA Kors
Database 2016, 2016
322016
Recognition of chemical entities: combining dictionary-based and grammar-based approaches
SA Akhondi, KM Hettne, E Van Der Horst, EM Van Mulligen, JA Kors
Journal of cheminformatics 7 (1), 1-11, 2015
262015
Erasmus MC at CLEF eHealth 2016: Concept recognition and coding in French texts
EM Van Mulligen, Z Afzal, S Akhondi, D Vo, J Kors
252016
Automatic identification of relevant chemical compounds from patents. The training corpus.
SA Akhondi, H Rey, M Schwörer, M Maier, J Tommey, H Nau, G Ilchmann, ...
Mendeley data, 2019
18*2019
Automatic identification of relevant chemical compounds from patents
SA Akhondi, H Rey, M Schwörer, M Maier, J Toomey, H Nau, G Ilchmann, ...
Database 2019, 2019
182019
Chemical entity recognition in patents by combining dictionary-based and statistical approaches
SA Akhondi, E Pons, Z Afzal, H van Haagen, BFH Becker, KM Hettne, ...
Database 2016, 2016
172016
Improving chemical named entity recognition in patents with contextualized word embeddings
Z Zhai, DQ Nguyen, SA Akhondi, C Thorne, C Druckenbrodt, T Cohn, ...
arXiv preprint arXiv:1907.02679, 2019
152019
RELigator: Chemical-disease relation extraction using prior knowledge and textual information
E Pons, B Becker, SA Akhondi, Z Afzal, EM van Mulligen, JA Kors
Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, 247-253, 2015
142015
Overview of chemu 2020: Named entity recognition and event extraction of chemical reactions from patents
J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2020
122020
Biomedical Concept Recognition in French Text Using Automatic Translation of English Terms.
Z Afzal, SA Akhondi, H van Haagen, EM van Mulligen, JA Kors
CLEF (Working Notes), 2015
112015
The Biomedical Abbreviation Recognition and Resolution (BARR) track: benchmarking, evaluation and importance of abbreviation recognition systems applied to Spanish biomedical …
A Intxaurrondo, M Pérez-Pérez, G Pérez-Rodríguez, JA López-Martín, ...
102017
Ambiguity of non-systematic chemical identifiers within and between small-molecule databases
SA Akhondi, S Muresan, AJ Williams, JA Kors
Journal of cheminformatics 7 (1), 1-10, 2015
92015
ChEMU: named entity recognition and event extraction of chemical reactions from patents
DQ Nguyen, Z Zhai, H Yoshikawa, B Fang, C Druckenbrodt, C Thorne, ...
European Conference on Information Retrieval, 572-579, 2020
82020
Detecting chemical reactions in patents
H Yoshikawa, DQ Nguyen, Z Zhai, C Druckenbrodt, C Thorne, ...
Australasian Language Technology Association, 2019
72019
Proceedings of the BioCreative VI Workshop
M Krallinger, O Rabal, SA Akhondi
52017
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Articles 1–20