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Christian Drukenbrodt
Christian Drukenbrodt
Artificial intelligence
Natural language processing
Physics
Computer science
Analytical chemistry
5
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4
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0
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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
2021
Frontiers in Bioscience
J. He
Dat Quoc Nguyen
Saber A. Akhondi
Christian Drukenbrodt
Camilo Thorne
Ralph Hoessel
Zubair Afzal
Zenan Zhai
Biaoyan Fang
Hiyori Yoshikawa
Ameer Albahem
Lawrence Cavedon
Trevor Cohn
Timothy Baldwin
Karin Verspoor
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ChemTables: A Dataset for Semantic Classification of Tables in Chemical Patents.
2021
Zenan Zhai
Christian Drukenbrodt
Camilo Thorne
Saber A. Akhondi
Dat Quoc Nguyen
Trevor Cohn
Karin Verspoor
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ChEMU-Ref: A corpus for modeling anaphora resolution i n the chemical domain
2021
Biaoyan Fang
Christian Drukenbrodt
Saber A. Akhondi
J. He
Timothy Baldwin
Karin Verspoor
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Reaction Reference Resolution and Anaphora Resolution i n Chemical Patents
2021
J. He
Biaoyan Fang
Hiyori Yoshikawa
Saber A. Akhondi
Christian Drukenbrodt
Camilo Thorne
Zubair Afzal
Zenan Zhai
Lawrence Cavedon
Trevor Cohn
Timothy Baldwin
Karin Verspoor
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A pre-trained Language Model for Chemical Patents
2021
RANLP | Recent Advances in Natural Language Processing
J He
Zenan Zhai
Saber A. Akhondi
Christian Drukenbrodt
Camilo Thorne
Hiyori Yoshikawa
Karin Verspoor
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