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06/29/2023
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Many recent improvements in NLP stem from the development and use of lar...
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08/31/2022
Efficient Methods for Natural Language Processing: A Survey
Getting the most out of limited resources allows advances in natural lan...
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08/25/2022
Training a T5 Using Lab-sized Resources
Training large neural language models on large datasets is resource- and...
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08/12/2022
Sparse Probability of Agreement
Measuring inter-annotator agreement is important for annotation tasks, b...
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06/17/2022
The ITU Faroese Pairs Dataset
This article documents a dataset of sentence pairs between Faroese and D...
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06/08/2022
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
The task of learning to map an input set onto a permuted sequence of its...
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05/06/2022
Bridging the Domain Gap for Stance Detection for the Zulu language
Misinformation has become a major concern in recent last years given its...
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04/29/2022
Handling and Presenting Harmful Text
Textual data can pose a risk of serious harm. These harms can be categor...
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07/28/2021
Detecting Abusive Albanian
The ever growing usage of social media in the recent years has had a dir...
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04/16/2021
Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
Improvement in machine learning-based NLP performance are often presente...
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12/11/2020
Discriminating Between Similar Nordic Languages
Automatic language identification is a challenging problem. Discriminati...
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06/12/2020
Power Consumption Variation over Activation Functions
The power that machine learning models consume when making predictions c...
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06/12/2020
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Mult...
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04/03/2020
Directions in Abusive Language Training Data: Garbage In, Garbage Out
Data-driven analysis and detection of abusive online content covers many...
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02/11/2020
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible
Misinformation spread presents a technological and social threat to soci...
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02/11/2020
The Rumour Mill: Making Misinformation Spread Visible and Tangible
The spread of misinformation presents a technological and social threat ...
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08/13/2019
Offensive Language and Hate Speech Detection for Danish
The presence of offensive language on social media platforms and the imp...
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06/27/2019
Simple Natural Language Processing Tools for Danish
This technical note describes a set of baseline tools for automatic proc...
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09/18/2018
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
This is the proposal for RumourEval-2019, which will run in early 2019 a...
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09/05/2018
Stance Prediction for Russian: Data and Analysis
Stance detection is a critical component of rumour and fake news identif...
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01/29/2018
Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
Crisis responders are increasingly using social media, data and other di...
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12/22/2017
Tracking the Diffusion of Named Entities
Existing studies of how information diffuses across social networks have...
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08/17/2017
Simple Open Stance Classification for Rumour Analysis
Stance classification determines the attitude, or stance, in a (typicall...
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04/20/2017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Media is full of false claims. Even Oxford Dictionaries named "post-trut...
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01/11/2017
Generalisation in Named Entity Recognition: A Quantitative Analysis
Named Entity Recognition (NER) is a key NLP task, which is all the more ...
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08/06/2016
Desiderata for Vector-Space Word Representations
A plethora of vector-space representations for words is currently availa...
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11/10/2015
