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06/08/2023
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction
Adverse Event (ADE) extraction is one of the core tasks in digital pharm...
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05/30/2023
Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures
In this work we build upon negative results from an attempt at language ...
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12/02/2022
Event knowledge in large language models: the gap between the impossible and the unlikely
People constantly use language to learn about the world. Computational l...
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10/21/2022
Generalizing over Long Tail Concepts for Medical Term Normalization
Medical term normalization consists in mapping a piece of text to a larg...
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09/07/2022
AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles
This paper describes the models developed by the AILAB-Udine team for th...
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09/06/2022
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation
In the last decade, an increasing number of users have started reporting...
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04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
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09/21/2021
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations
Adverse Drug Event (ADE) extraction models can rapidly examine large col...
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09/13/2021
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
Adverse Events (AE) are harmful events resulting from the use of medical...
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07/22/2021
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
Prior research has explored the ability of computational models to predi...
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05/19/2021
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
In recent years, Internet users are reporting Adverse Drug Events (ADE) ...
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06/17/2019
A Structured Distributional Model of Sentence Meaning and Processing
Most compositional distributional semantic models represent sentence mea...
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05/04/2018
A Rank-Based Similarity Metric for Word Embeddings
Word Embeddings have recently imposed themselves as a standard for repre...
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04/30/2018
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
This paper describes BomJi, a supervised system for capturing discrimina...
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10/03/2017
Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?
Despite the number of NLP studies dedicated to thematic fit estimation, ...
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07/19/2017
Measuring Thematic Fit with Distributional Feature Overlap
In this paper, we introduce a new distributional method for modeling pre...
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11/03/2016
CogALex-V Shared Task: ROOT18
In this paper, we describe ROOT 18, a classifier using the scores of sev...
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08/27/2016
Testing APSyn against Vector Cosine on Similarity Estimation
In Distributional Semantic Models (DSMs), Vector Cosine is widely used t...
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07/07/2016