Search Results for author: Camilo Thorne

Found 13 papers, 4 papers with code

Stress Testing BERT Anaphora Resolution Models for Reaction Extraction in Chemical Patents

no code implementations23 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.

Stress Test Evaluation of Biomedical Word Embeddings

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.

named-entity-recognition Named Entity Recognition +2

Word Embeddings for Chemical Patent Natural Language Processing

no code implementations24 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.

Word Embeddings

Disease Normalization with Graph Embeddings

1 code implementation24 Oct 2020 Dhruba Pujary, Camilo Thorne, Wilker Aziz

The detection and normalization of diseases in biomedical texts are key biomedical natural language processing tasks.

Entity Linking named-entity-recognition +2

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

Towards Confidence Estimation for Typed Protein-Protein Relation Extraction

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.

Entity Linking Named Entity Recognition (NER) +2

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