1 code implementation • Findings (EMNLP) 2021 • 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.
no code implementations • EMNLP 2020 • Adam Tsakalidis, Maria Liakata
Semantic change detection concerns the task of identifying words whose meaning has changed over time.
no code implementations • NAACL (CLPsych) 2021 • Adam Tsakalidis, Dana Atzil-Slonim, Asaf Polakovski, Natalie Shapira, Rivka Tuval-Mashiach, Maria Liakata
We present the first work on automatically capturing alliance rupture in transcribed therapy sessions, trained on the text and self-reported rupture scores from both therapists and clients.
no code implementations • NAACL (CLPsych) 2022 • Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, Maria Liakata
We provide an overview of the CLPsych 2022 Shared Task, which focusses on the automatic identification of ‘Moments of Change’ in lon- gitudinal posts by individuals on social media and its connection with information regarding mental health .
no code implementations • 28 Aug 2024 • Talia Tseriotou, Adam Tsakalidis, Maria Liakata
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time.
no code implementations • 22 May 2024 • Dimitris Gkoumas, Maria Liakata
Scientific language models drive research innovation but require extensive fine-tuning on large datasets.
no code implementations • 16 Feb 2024 • John Dougrez-Lewis, Mahmud Elahi Akhter, Yulan He, Maria Liakata
Our study contributes to the growing body of research suggesting that ChatGPT's reasoning processes are unlikely to mirror human-like reasoning, and that LLMs need to be more rigorously evaluated to distinguish between hype and actual capabilities, especially in high-stakes real-world tasks such as claim verification.
no code implementations • 29 Jan 2024 • Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring.
1 code implementation • 23 Jan 2024 • Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata
The task of rumour verification in social media concerns assessing the veracity of a claim on the basis of conversation threads that result from it.
2 code implementations • 6 Dec 2023 • Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry Lyons, Maria Liakata
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling.
no code implementations • 15 Oct 2023 • Dimitris Gkoumas, Matthew Purver, Maria Liakata
Here, we automatically learn linguistic disorder patterns by making use of a moderately-sized pre-trained language model and forcing it to focus on reformulated natural language processing (NLP) tasks and associated linguistic patterns.
no code implementations • 14 Oct 2023 • Dimitris Gkoumas, Adam Tsakalidis, Maria Liakata
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia.
no code implementations • 10 Oct 2023 • Joseph S. Boyle, Antanas Kascenas, Pat Lok, Maria Liakata, Alison Q. O'Neil
The task of assigning diagnostic ICD codes to patient hospital admissions is typically performed by expert human coders.
1 code implementation • 10 Mar 2023 • Anthony Hills, Adam Tsakalidis, Federico Nanni, Ioannis Zachos, Maria Liakata
There is increasing interest to work with user generated content in social media, especially textual posts over time.
no code implementations • 28 Feb 2023 • Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection.
1 code implementation • 30 Nov 2022 • Matthew Maufe, James Ravenscroft, Rob Procter, Maria Liakata
Question Answering (QA) is a growing area of research, often used to facilitate the extraction of information from within documents.
no code implementations • 27 Nov 2022 • Jiayu Song, Iman Munire Bilal, Adam Tsakalidis, Rob Procter, Maria Liakata
A Variational Autoencoder is used to get the distribution of documents/posts, and the distributions are disentangled into separate semantic and syntactic spaces.
no code implementations • 8 Aug 2022 • Iman Munire Bilal, Bo wang, Adam Tsakalidis, Dong Nguyen, Rob Procter, Maria Liakata
We introduce the task of microblog opinion summarisation (MOS) and share a dataset of 3100 gold-standard opinion summaries to facilitate research in this domain.
no code implementations • 29 Jul 2022 • Alejo Nevado-Holgado, Colin Espie, Maria Liakata, Alasdair Henry, Jenny Gu, Niall Taylor, Kate Saunders, Tom Walker, Chris Miller
In collaboration with Big Health, the therapeutics company that created and utilizes Sleepio, we have analysed data from a random sample of 401, 174 sleep diaries and built a neural network to model sleep behaviour and sleep quality of each individual in a personalised manner.
1 code implementation • FEVER (ACL) 2022 • John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania, Maria Liakata, Yulan He
Work on social media rumour verification utilises signals from posts, their propagation and users involved.
no code implementations • ACL 2022 • Adam Tsakalidis, Federico Nanni, Anthony Hills, Jenny Chim, Jiayu Song, Maria Liakata
Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance.
no code implementations • NAACL 2022 • M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He
The dataset construction includes work on retrieval techniques and similarity measurements to ensure a unique set of claims.
no code implementations • EMNLP (newsum) 2021 • M. Arana-Catania, Rob Procter, Yulan He, Maria Liakata
We present work on summarising deliberative processes for non-English languages.
no code implementations • 3 Sep 2021 • Dimitris Gkoumas, Bo wang, Adam Tsakalidis, Maria Wolters, Arkaitz Zubiaga, Matthew Purver, Maria Liakata
The corpus consists of spoken conversations, a subset of which are transcribed, as well as typed and written thoughts and associated extra-linguistic information such as pen strokes and keystrokes.
no code implementations • ACL 2021 • Iman Munire Bilal, Bo wang, Maria Liakata, Rob Procter, Adam Tsakalidis
Here we create a corpus of microblog clusters from three different domains and time windows and define the task of evaluating thematic coherence.
no code implementations • EACL 2021 • James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
no code implementations • 28 Feb 2021 • M. Arana-Catania, F. A. Van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata
The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations.
no code implementations • 18 Feb 2021 • Bo wang, Yue Wu, Nemanja Vaci, Maria Liakata, Terry Lyons, Kate E A Saunders
Bipolar disorder (BD) and borderline personality disorder (BPD) are two chronic mental health conditions that clinicians find challenging to distinguish based on clinical interviews, due to their overlapping symptoms.
no code implementations • EACL 2021 • Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He
Biomedical question-answering (QA) has gained increased attention for its capability to provide users with high-quality information from a vast scientific literature.
1 code implementation • 29 Jan 2021 • James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
no code implementations • 5 Nov 2020 • Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga, Maria Liakata
In this paper, we present the results and main findings of our system for the DIACR-ITA 2020 Task.
no code implementations • 23 Oct 2020 • 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.
no code implementations • 30 Aug 2020 • Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata
The purpose of this task is to determine the check-worthiness of tweets about COVID-19 to identify and prioritise tweets that need fact-checking.
no code implementations • 8 Aug 2020 • Bo Wang, Yue Wu, Niall Taylor, Terry Lyons, Maria Liakata, Alejo J Nevado-Holgado, Kate E. A. Saunders
Bipolar disorder (BD) and borderline personality disorder (BPD) are both chronic psychiatric disorders.
no code implementations • 28 Jul 2020 • James Ravenscroft, Amanda Clare, Maria Liakata
We find that Impact Case studies submitted to the UK Research Excellence Framework (REF) 2014 that refer to scientific papers mentioned in newspaper articles were awarded a higher score in the REF assessment.
no code implementations • 22 Jul 2020 • 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.
1 code implementation • ACL 2020 • Nicole Peinelt, Dong Nguyen, Maria Liakata
Semantic similarity detection is a fundamental task in natural language understanding.
1 code implementation • ACL 2020 • Elena Kochkina, Maria Liakata
The inability to correctly resolve rumours circulating online can have harmful real-world consequences.
no code implementations • 28 Apr 2020 • Adam Tsakalidis, Maria Liakata
Semantic change detection concerns the task of identifying words whose meaning has changed over time.
no code implementations • 2 Jul 2019 • Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
Second, we hope to provide a set of best practices for working with thick social and cultural concepts.
1 code implementation • ACL 2019 • Nicole Peinelt, Maria Liakata, Dong Nguyen
Existing datasets for scoring text pairs in terms of semantic similarity contain instances whose resolution differs according to the degree of difficulty.
no code implementations • SEMEVAL 2019 • Genevieve Gorrell, Elena Kochkina, Maria Liakata, Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Leon Derczynski
Rumour verification is characterised by the need to consider evolving conversations and news updates to reach a verdict on a rumour{'}s veracity.
no code implementations • 18 Sep 2018 • Genevieve Gorrell, Kalina Bontcheva, Leon Derczynski, Elena Kochkina, Maria Liakata, Arkaitz Zubiaga
This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event.
no code implementations • 26 Aug 2018 • Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata
Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising.
no code implementations • 19 Jul 2018 • Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea
Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising results being reported across many studies.
no code implementations • ACL 2018 • James Ravenscroft, Am Clare, a, Maria Liakata
Being able to reliably link scientific works to the newspaper articles that discuss them could provide a breakthrough in the way we rationalise and measure the impact of science on our society.
no code implementations • COLING 2018 • Elena Kochkina, Maria Liakata, Arkaitz Zubiaga
We propose a multi-task learning approach that allows joint training of the main and auxiliary tasks, improving the performance of rumour verification.
no code implementations • 6 Dec 2017 • Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers.
no code implementations • IJCNLP 2017 • Bo Wang, Maria Liakata, Adam Tsakalidis, Spiros Georgakopoulos Kolaitis, Symeon Papadopoulos, Lazaros Apostolidis, Arkaitz Zubiaga, Rob Procter, Yiannis Kompatsiaris
We present a system for time sensitive, topic based summarisation of the sentiment around target entities and topics in collections of tweets.
1 code implementation • IJCNLP 2017 • Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh
Classifiers are function words that are used to express quantities in Chinese and are especially difficult for language learners.
no code implementations • WS 2017 • Sophie Chesney, Maria Liakata, Massimo Poesio, Matthew Purver
This paper discusses the problem of incongruent headlines: those which do not accurately represent the information contained in the article with which they occur.
1 code implementation • SEMEVAL 2017 • Elena Kochkina, Maria Liakata, Isabelle Augenstein
This paper describes team Turing's submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A).
Ranked #1 on Stance Detection on RumourEval
no code implementations • 3 Apr 2017 • Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i. e. pieces of information that are unverified at the time of posting.
no code implementations • EACL 2017 • Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter
Existing target-specific sentiment recognition methods consider only a single target per tweet, and have been shown to miss nearly half of the actual targets mentioned.
no code implementations • 27 Feb 2017 • Arkaitz Zubiaga, Bo wang, Maria Liakata, Rob Procter
Independence movements occur in territories whose citizens have conflicting national identities; users with opposing national identities will then support or oppose the sense of being part of an independent nation that differs from the officially recognised country.
no code implementations • COLING 2016 • Adam Tsakalidis, Maria Liakata, Theo Damoulas, Brigitte Jellinek, Weisi Guo, Alex Cristea, ra
In this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous, longitudinal and non-synchronous textual as well as non-linguistic data that can be harvested from on-line media and mobile phones.
2 code implementations • 24 Oct 2016 • Arkaitz Zubiaga, Maria Liakata, Rob Procter
In this paper we introduce a novel approach to rumour detection that learns from the sequential dynamics of reporting during breaking news in social media to detect rumours in new stories.
no code implementations • COLING 2016 • Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, Sebastian Riedel
In this paper, we introduce the task of targeted aspect-based sentiment analysis.
Ranked #5 on Aspect-Based Sentiment Analysis (ABSA) on Sentihood
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • COLING 2016 • Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik
Rumour stance classification, the task that determines if each tweet in a collection discussing a rumour is supporting, denying, questioning or simply commenting on the rumour, has been attracting substantial interest.
no code implementations • 7 Sep 2016 • Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news.
no code implementations • LREC 2016 • Daniel Duma, Maria Liakata, Am Clare, a, James Ravenscroft, Ewan Klein
The task of recommending relevant scientific literature for a draft academic paper has recently received significant interest.
no code implementations • LREC 2016 • James Ravenscroft, Anika Oellrich, Shyamasree Saha, Maria Liakata
Here, we present the Multi-CoreSC CRA corpus, a text corpus specific to the domain of cancer risk assessment (CRA), consisting of 50 full text papers, each of which contains sentences annotated with one or more CoreSCs.
1 code implementation • 25 Apr 2016 • Arkaitz Zubiaga, Alex Voss, Rob Procter, Maria Liakata, Bo wang, Adam Tsakalidis
In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classifying global tweets at the country level, which is so far unexplored in a real-time scenario.
no code implementations • 9 Jun 2015 • George Gkotsis, Maria Liakata, Carlos Pedrinaci, John Domingue
In particular, we present a system, ACQUA [http://acqua. kmi. open. ac. uk], that can be installed onto the majority of browsers as a plugin.