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20152026
most citedLearning Reporting Dynamics during Breaking News for Rumour Detection in Social Media

153 citations · 561 across the 22 of their papers we have counts for

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Showing 2020 · cs.CLShow all

7 papers · 2 filters

cs.CL2020

QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian

Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga +1

In this paper, we present the results and main findings of our system for the DIACR-ITA 2020 Task. Our system focuses on using variations of training sets and different semantic de…

cs.CL2020

GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method

Nicole Peinelt, Marek Rei, Maria Liakata

Large pre-trained language models such as BERT have been the driving force behind recent improvements across many NLP tasks. However, BERT is only trained to predict missing words…

cs.CL2020★ 9 cited

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions

Rabab Alkhalifa, Theodore Yoong, Elena Kochkina +2

This paper describes the participation of the QMUL-SDS team for Task 1 of the CLEF 2020 CheckThat! shared task. The purpose of this task is to determine the check-worthiness of twe…

cs.CL2020

Measuring prominence of scientific work in online news as a proxy for impact

James Ravenscroft, Amanda Clare, Maria Liakata

The impact made by a scientific paper on the work of other academics has many established metrics, including metrics based on citation counts and social media commenting. However,…

cs.CL2020★ 2 cited

Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification

Nicole Peinelt, Dong Nguyen, Maria Liakata

Question paraphrase identification is a key task in Community Question Answering (CQA) to determine if an incoming question has been previously asked. Many current models use word…

cs.CL2020

Estimating predictive uncertainty for rumour verification models

Elena Kochkina, Maria Liakata

The inability to correctly resolve rumours circulating online can have harmful real-world consequences. We present a method for incorporating model and data uncertainty estimates i…