CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles

no code implementations • EMNLP (NLP-COVID19) 2020 • Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis

Ever since the COVID-19 pandemic broke out, the academic and scientific research community, as well as industry and governments around the world have joined forces in an unprecedented manner to fight the threat.

Active Learning

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

1 code implementation • WS 2019 • Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor

In this paper, we explore the NER performance of a BiLSTM-CRF model utilising pre-trained word embeddings, character-level word representations and contextualized ELMo word representations for chemical patents.

named-entity-recognition Named Entity Recognition +2

Detecting Chemical Reactions in Patents

no code implementations • ALTA 2019 • Hiyori Yoshikawa, Dat Quoc Nguyen, Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A. Akhondi, Timothy Baldwin, Karin Verspoor

Extracting chemical reactions from patents is a crucial task for chemists working on chemical exploration.