Search Results for author: Beatrice Alex

Found 23 papers, 5 papers with code

Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English Text

no code implementations NAACL (GeBNLP) 2022 Lucy Havens, Beatrice Alex, Benjamin Bach, Melissa Terras

Mitigating harms from gender biased language in Natural Language Processing (NLP) systems remains a challenge, and the situated nature of language means bias is inescapable in NLP data.

Language Modelling

Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets

no code implementations NLPerspectives (LREC) 2022 Lucy Havens, Benjamin Bach, Melissa Terras, Beatrice Alex

This paper presents an overview of text visualization techniques relevant for data perspectivism, aiming to facilitate analysis of annotated datasets for the datasets’ creators and stakeholders.

Bias Detection Hate Speech Detection +1

Developing Automatic Speech Recognition for Scottish Gaelic

no code implementations CLTW (LREC) 2022 Lucy Evans, William Lamb, Mark Sinclair, Beatrice Alex

This paper discusses our efforts to develop a full automatic speech recognition (ASR) system for Scottish Gaelic, starting from a point of limited resource.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Handwriting recognition for Scottish Gaelic

no code implementations CLTW (LREC) 2022 William Lamb, Beatrice Alex, Mark Sinclair

Like most other minority languages, Scottish Gaelic has limited tools and resources available for Natural Language Processing research and applications.

Handwriting Recognition speech-recognition +1

Enhanced Labelling in Active Learning for Coreference Resolution

no code implementations COLING (CRAC) 2020 Vebjørn Espeland, Beatrice Alex, Benjamin Bach

In this paper we describe our attempt to increase the amount of information that can be retrieved through active learning sessions compared to previous approaches.

Active Learning coreference-resolution

Edinburgh_UCL_Health@SMM4H’22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination

no code implementations SMM4H (COLING) 2022 Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex

Our team participated in the tasks related to the Identification of Adverse Drug Events (ADEs), the classification of change in medication (change-med) and the classification of self-report of vaccination (self-vaccine).

Classification

Classifying patient voice in social media data using neural networks: A comparison of AI models on different data sources and therapeutic domains

no code implementations30 Nov 2023 Giorgos Lysandrou, Roma English Owen, Vanja Popovic, Grant Le Brun, Beatrice Alex, Elizabeth A. L. Fairley

We used linguistic analysis to understand and identify similarities between datasets, across patient language, between data sources (Reddit, SocialGist) and therapeutic domains (cardiovascular, oncology, immunology, neurology).

Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

no code implementations6 Jul 2023 Aryo Pradipta Gema, Luke Daines, Pasquale Minervini, Beatrice Alex

Additionally, we propose a two-step PEFT framework which fuses Clinical LLaMA-LoRA with Downstream LLaMA-LoRA, another PEFT adapter specialised for downstream tasks.

Domain Adaptation

Automated Clinical Coding: What, Why, and Where We Are?

1 code implementation21 Mar 2022 Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu

Knowledge-based methods that represent and reason the standard, explainable process of a task may need to be incorporated into deep learning-based methods for clinical coding.

The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges

no code implementations NAACL (TeachingNLP) 2021 Beatrice Alex, Clare Llewellyn, Pawel Michal Orzechowski, Maria Boutchkova

In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run.

Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts

no code implementations LREC 2020 Rosa Filgueira, Claire Grover, Melissa Terras, Beatrice Alex

This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques.

named-entity-recognition Named Entity Recognition +1

Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)

no code implementations4 Feb 2020 Arlene Casey, Mike Bennett, Richard Tobin, Claire Grover, Iona Walker, Lukas Engelmann, Beatrice Alex

Our interdisciplinary research investigates more than 100 reports from the third plague pandemic (1894-1952) evaluating ways of building a corpus to extract and structure this narrative information through text mining and manual annotation.

Epidemiology Optical Character Recognition +1

Homing in on Twitter Users: Evaluating an Enhanced Geoparser for User Profile Locations

no code implementations LREC 2016 Beatrice Alex, Clare Llewellyn, Claire Grover, Oberl, Jon er, Richard Tobin

As tweet-level geotagging remains rare, most prior work exploited tweet content, timezone and network information to inform geolocation, or else relied on off-the-shelf tools to geolocate users from location information in their user profiles.

Sentiment Analysis

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