Projects per year
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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ChEMU: Cheminformatics Elsevier Melbourne University lab
Akhondi, S. (PI)
05/15/20 → 09/30/20
Project: Other
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Information Extraction for Chemical Reactions with University of Melbourne
Verspoor, K. (PI), Akhondi, S. (CoPI), Tsatsaronis, G. (CoI), Drukenbrodt, C. (CoI), Thorne, C. (CoI), Hoessel, R. (CoI), Cohn, T. (CoI), Nguyen, D. Q. (CoI), Zhai, Z. (CoI), Fang, B. (CoI), Yohsikawa, H. (CoI) & Doornenbal, M. (CoI)
06/1/18 → 12/31/22
Project: Research
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Automated Synonym Discovery for Taxonomy Maintenance Using Semantic Search Techniques
Moradi Fard, M., Thorne, C., Sorolla Bayod, P., Akhondi, S. & Vlietstra, W., 2024, Natural Language Processing and Information Systems - 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Proceedings. Rapp, A., Di Caro, L., Meziane, F. & Sugumaran, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 352-358 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14763 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Learning Section Weights for Multi-label Document Classification
Moradi Fard, M., Sorolla Bayod, P., Motarjem, K., Alian Nejadi, M., Akhondi, S. & Thorne, C., 2024, Natural Language Processing and Information Systems - 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Proceedings. Rapp, A., Di Caro, L., Meziane, F. & Sugumaran, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 359-366 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14763 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents
Li, Y., Fang, B., He, J., Yoshikawa, H., Akhondi, S. A., Druckenbrodt, C., Thorne, C., Zhai, Z., Afzal, Z., Cohn, T., Baldwin, T. & Verspoor, K., 2022, Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K. & Setty, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 400-407 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13186 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A pre-trained Language Model for Chemical Patents
He, J., Zhai, Z., Akhondi, S., Drukenbrodt, C., Thorne, C., Yoshikawa, H. & Verspoor, K., 2021, In: International Conference Recent Advances in Natural Language Processing, RANLP.Research output: Contribution to journal › Article › peer-review
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Chemical Reaction Reference Resolution in Patent
Yoshikawa, H., Akhondi, S., Thorne, C., Drukenbrodt, C., Hoessel, R., Zhai, Z., He, J., Baldwin, T. & Verspoor, K., 2021.Research output: Contribution to conference › Paper › peer-review
Datasets
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ChemTables Sample: dataset for table classification in chemical patents
Thorne, C. (Creator), Akhondi, S. (Creator), Druckenbrodt, C. (Creator), Zhai, Z. (Creator), Verspoor, K. (Creator), Cohn, T. (Creator), Nguyen, D. Q. (Creator) & Eustratiadis, P. (Creator), Mendeley Data, Nov 4 2020
Dataset
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ChEMU-Ref dataset for Modeling Anaphora Resolution i n the Chemical Domain.
Fang, B. (Creator), Drukenbrodt, C. (Creator), Yeow, C. (Creator), Novakovic, S. (Creator), Hoessel, R. (Creator), Akhondi, S. (Creator), He, J. (Creator), Mistica, M. (Creator), Baldwin, T. (Creator) & Verspoor, K. (Creator), Mendeley Data, 2021
Dataset
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ChEMU dataset for information extraction from chemical patents
Verspoor, K. (Creator), Nguyen, D. Q. (Creator), Akhondi, S. (Creator), Drukenbrodt, C. (Creator), Thorne, C. (Creator), Hoessel, R. (Creator), He, J. (Creator) & Zhai, Z. (Creator), Mendeley Data, 2020
Dataset
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Automatic identification of relevant chemical compounds from patents. The training corpus.
Akhondi, S. (Creator), Mendeley Data, 2019
Dataset
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Covid-19 Relevancy Algorithm Data Set for Identification of Core Scientific Articles
Afzal, Z. (Creator), Coupet, P. (Creator), Tsatsaronis, G. (Creator) & Akhondi, S. (Creator), Mendeley Data, 2020
Dataset
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ChEMU Shared Task 2022
Akhondi, S. (Organizer), Thorne, C. (Organizer), Drukenbrodt, C. (Organizer) & Verspoor, K. (Organizer)
2022Activity: Participating in or organizing an event › Organizing a conference, workshop, ...
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ChEMU Shared Task 2021
Akhondi, S. (Organizer), Thorne, C. (Organizer), Drukenbrodt, C. (Organizer) & Verspoor, K. (Organizer)
2021Activity: Participating in or organizing an event › Organizing a conference, workshop, ...
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Patent for system and method for text mining
Verspoor, K. (Participant) & Akhondi, S. (Participant)
2020Activity: Other
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ChEMU Shared Task 2020
Akhondi, S. (Organizer), Thorne, C. (Organizer), Drukenbrodt, C. (Organizer) & Verspoor, K. (Organizer)
2020Activity: Participating in or organizing an event › Organizing a conference, workshop, ...
Press/Media
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How data scientists are uncovering chemical compounds hidden in patents
Verspoor, K., Tsatsaronis, G., Akhondi, S., Drukenbrodt, C., Hoessel, R., Thorne, C., Cohn, T., Nguyen, D. Q., Zhai, Z., Fang, B. & Yohsikawa, H.
11/28/19
1 Media contribution
Press/Media