Leon Derczynski | DeepAI

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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...

0 Ji-Ung Lee, et al. ∙

∙ 08/31/2022

Efficient Methods for Natural Language Processing: A Survey

Getting the most out of limited resources allows advances in natural lan...

9 Marcos Treviso, et al. ∙

∙ 08/25/2022

Training a T5 Using Lab-sized Resources

Training large neural language models on large datasets is resource- and...

0 Manuel R. Ciosici, et al. ∙

∙ 08/12/2022

Sparse Probability of Agreement

Measuring inter-annotator agreement is important for annotation tasks, b...

0 Jeppe Nørregaard, et al. ∙

∙ 06/17/2022

The ITU Faroese Pairs Dataset

This article documents a dataset of sentence pairs between Faroese and D...

0 Leon Derczynski, et al. ∙

∙ 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...

0 Mateusz Jurewicz, et al. ∙

∙ 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...

3 Gcinizwe Dlamini, et al. ∙

∙ 04/29/2022

Handling and Presenting Harmful Text

Textual data can pose a risk of serious harm. These harms can be categor...

1 Leon Derczynski, et al. ∙

∙ 07/28/2021

Detecting Abusive Albanian

The ever growing usage of social media in the recent years has had a dir...

0 Erida Nurce, et al. ∙

∙ 04/16/2021

Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models

Improvement in machine learning-based NLP performance are often presente...

0 Magnus Jacobsen, et al. ∙

∙ 12/11/2020

Discriminating Between Similar Nordic Languages

Automatic language identification is a challenging problem. Discriminati...

0 René Haas, et al. ∙

∙ 06/12/2020

Power Consumption Variation over Activation Functions

The power that machine learning models consume when making predictions c...

16 Leon Derczynski, et al. ∙

∙ 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...

0 Marcos Zampieri, et al. ∙

∙ 04/03/2020

Directions in Abusive Language Training Data: Garbage In, Garbage Out

Data-driven analysis and detection of abusive online content covers many...

0 Bertie Vidgen, et al. ∙

∙ 02/11/2020

The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible

Misinformation spread presents a technological and social threat to soci...

0 Nanna Inie, et al. ∙

∙ 02/11/2020

The Rumour Mill: Making Misinformation Spread Visible and Tangible

The spread of misinformation presents a technological and social threat ...

0 Nanna Inie, et al. ∙

∙ 08/13/2019

Offensive Language and Hate Speech Detection for Danish

The presence of offensive language on social media platforms and the imp...

0 Gudbjartur Ingi Sigurbergsson, et al. ∙

∙ 06/27/2019

Simple Natural Language Processing Tools for Danish

This technical note describes a set of baseline tools for automatic proc...

0 Leon Derczynski, et al. ∙

∙ 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...

0 Genevieve Gorrell, et al. ∙

∙ 09/05/2018

Stance Prediction for Russian: Data and Analysis

Stance detection is a critical component of rumour and fake news identif...

0 Nikita Lozhnikov, et al. ∙

∙ 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...

0 Leon Derczynski, et al. ∙

∙ 12/22/2017

Tracking the Diffusion of Named Entities

Existing studies of how information diffuses across social networks have...

0 Leon Derczynski, et al. ∙

∙ 08/17/2017

Simple Open Stance Classification for Rumour Analysis

Stance classification determines the attitude, or stance, in a (typicall...

0 Ahmet Aker, et al. ∙

∙ 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...

0 Leon Derczynski, et al. ∙

∙ 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 ...

0 Isabelle Augenstein, et al. ∙

∙ 08/06/2016

Desiderata for Vector-Space Word Representations

A plethora of vector-space representations for words is currently availa...

0 Leon Derczynski, et al. ∙

∙ 11/10/2015

USFD: Twitter NER with Drift Compensation and Linked Data

This paper describes a pilot NER system for Twitter, comprising the USFD...

0 Leon Derczynski, et al. ∙

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