no code implementations • 26 Nov 2023 • Maziar Moradi Fard, Paula Sorrolla Bayod, Kiomars Motarjem, Mohammad Alian Nejadi, Saber Akhondi, Camilo Thorne
This problem is crucially important in various domains, such as tagging scientific articles.
1 code implementation • 24 Nov 2023 • Thomas Jurriaans, Kinga Szarkowska, Eric Nalisnick, Markus Schwoerer, Camilo Thorne, Saber Akhondi
The focus of this research was to propose and test a novel method for classifying Markush structures.
no code implementations • 23 Jun 2023 • Chieling Yueh, Evangelos Kanoulas, Bruno Martins, Camilo Thorne, Saber Akhondi
The high volume of published chemical patents and the importance of a timely acquisition of their information gives rise to automating information extraction from chemical patents.
1 code implementation • NAACL (BioNLP) 2021 • Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga, Camilo Thorne, Denis Parra
The success of pretrained word embeddings has motivated their use in the biomedical domain, with contextualized embeddings yielding remarkable results in several biomedical NLP tasks.
1 code implementation • 24 Oct 2020 • Dhruba Pujary, Camilo Thorne, Wilker Aziz
The detection and normalization of diseases in biomedical texts are key biomedical natural language processing tasks.
no code implementations • 24 Oct 2020 • Camilo Thorne, Saber Akhondi
We evaluate chemical patent word embeddings against known biomedical embeddings and show that they outperform the latter extrinsically and intrinsically.
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.
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.
no code implementations • RANLP 2017 • Camilo Thorne, Roman Klinger
In this paper, we discuss this task and propose different approaches for confidence estimation and a pipeline to evaluate such methods.