Search Results for author: Marco Basaldella

Found 7 papers, 2 papers with code

Self-Alignment Pretraining for Biomedical Entity Representations

1 code implementation NAACL 2021 Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

Despite the widespread success of self-supervised learning via masked language models (MLM), accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge.

Benchmarking Entity Linking +2

COMETA: A Corpus for Medical Entity Linking in the Social Media

1 code implementation EMNLP 2020 Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Whilst there has been growing progress in Entity Linking (EL) for general language, existing datasets fail to address the complex nature of health terminology in layman's language.

Entity Linking

BioReddit: Word Embeddings for User-Generated Biomedical NLP

no code implementations WS 2019 Marco Basaldella, Nigel Collier

Word embeddings, in their different shapes and iterations, have changed the natural language processing research landscape in the last years.

Word Embeddings

Exploiting and Evaluating a Supervised, Multilanguage Keyphrase Extraction pipeline for under-resourced languages

no code implementations RANLP 2017 Marco Basaldella, Muhammad Helmy, Elisa Antolli, Mihai Horia Popescu, Giuseppe Serra, Carlo Tasso

On the five languages we analyzed, results show an improvement in performance when using a machine learning algorithm, even if such algorithm is not trained and tested on the same language.

BIG-bench Machine Learning Information Retrieval +2

Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction

no code implementations COLING 2016 Marco Basaldella, Giorgia Chiaradia, Carlo Tasso

In order to verify the impact of these features, we define a baseline keyphrase extraction system and evaluate its performance on a standard dataset using different machine learning algorithms.

Clustering coreference-resolution +2

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