- 14 results
Search results
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2021
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
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ChemTables: A Dataset for Semantic Classification of Tables in Chemical Patents.
Zhai, Z., Drukenbrodt, C., Thorne, C., Akhondi, S., Nguyen, D. Q., Cohn, T. & Verspoor, K., 2021, In: Research Square preprint.Research output: Contribution to journal › Article › peer-review
Open Access -
ChEMU-Ref: A corpus for modeling anaphora resolution i n the chemical domain
Fang, B., Drukenbrodt, C., Akhondi, S., He, J., Baldwin, T. & Verspoor, K., 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Memorization vs.Generalization: Quantifying Data Leakage i n NLP Performance Evaluation
Elangovan, A., He, J. & Verspoor, K., 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery
He, J., Nguyen, D. Q., Akhondi, S., Drukenbrodt, C., Thorne, C., Hoessel, R., Afzal, Z., Zhai, Z., Fang, B., Yoshikawa, H., Albahem, A., Cavedon, L., Cohn, T., Baldwin, T. & Verspoor, K., 2021, In: Frontiers in Bioscience - Landmark.Research output: Contribution to journal › Article › peer-review
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Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents
Li, Y., Fang, B., He, J., Yoshikawa, H., Akhondi, S., Drukenbrodt, C., Thorne, C., Afzal, Z., Zhai, Z., Baldwin, T. & Verspoor, K., 2021, In: International Conference of the Cross-Language Evaluation Forum for European Languages. p. 292-307 16 p.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Scopus citations -
Reaction Reference Resolution and Anaphora Resolution i n Chemical Patents
He, J., Fang, B., Yoshikawa, H., Akhondi, S., Drukenbrodt, C., Thorne, C., Afzal, Z., Zhai, Z., Cavedon, L., Cohn, T., Baldwin, T. & Verspoor, K., 2021, Advances in Information Retrieval. (European Conference on Information Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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2020
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents
He, J., Nguyen, D. Q., Akhondi, S., Drukenbrodt, C., Thorne, C., Hoessel, R., Afzal, Z., Zhai, Z., Fang, B., Yoshikawa, H., Albahem, A., Wang, J., Cavedon, L., Cohn, T. & Verspoor, K., 2020, Proceedings of the CLEF 2020 conference..Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2019
A framework to automatically extract funding information from text
Kayal, S., Afzal, Z., Tsatsaronis, G., Doornenbal, M., Katrenko, S. & Gregory, M., 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Nicosia, G., Giuffrida, G., Nicosia, G., Pardalos, P., Sciacca, V. & Umeton, R. (eds.). Springer Verlag, p. 317-328 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11331 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
7 Link opens in a new tab Scopus citations -
Detecting Chemical Reactions in Patents
Yohsikawa, H., Thorne, C., Akhondi, S., Drukenbrodt, C., Verspoor, K., Nguyen, D. Q., Zhai, Z. & Cohn, T., 2019.Research output: Contribution to conference › Paper › peer-review
Open Access -
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Zhai, Z., Thorne, C., Akhondi, S., Verspoor, K., Nguyen, D. Q., Cohn, T. & Drukenbrodt, C., 2019, Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
2018
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
Zhai, Z., Nguyen, D. Q. & Verspoor, K., 2018, Proceedings of the 9th International Workshop on Health Text Mining and Information Analysis.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Nguyen, D. Q. & Verspoor, K., 2018, Proceedings of the Workshop on Biomedical Natural Language Processing.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review