153 citations · 561 across the 22 of their papers we have counts for
7 papers · 2 filters
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…
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…
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…
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,…
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…
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…