Search Results for author: Gareth Tyson

Found 11 papers, 5 papers with code

Embedding Structured Dictionary Entries

no code implementations EMNLP (insights) 2020 Steven Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson

Previous work has shown how to effectively use external resources such as dictionaries to improve English-language word embeddings, either by manipulating the training process or by applying post-hoc adjustments to the embedding space.

Learning Word Embeddings Multi-Task Learning

Twitter Dataset for 2022 Russo-Ukrainian Crisis

1 code implementation6 Mar 2022 Ehsan-Ul Haq, Gareth Tyson, Lik-Hang Lee, Tristan Braud, Pan Hui

Such information sharing campaigns can range from spreading factual information to propaganda and misinformation.

Misinformation

Measuring Vulnerabilities of Malware Detectors with Explainability-Guided Evasion Attacks

no code implementations19 Nov 2021 Ruoxi Sun, Wei Wang, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu, Mingyu Guo, Surya Nepal

We find that (i) commercial antivirus engines are vulnerable to AMM-guided manipulated samples; (ii) the ability of a manipulated malware generated using one detector to evade detection by another detector (i. e., transferability) depends on the overlap of features with large AMM values between the different detectors; and (iii) AMM values effectively measure the importance of features and explain the ability to evade detection.

Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity

no code implementations15 May 2020 Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson

However, it is unclear exactly how activity on this platform relates to larger conversations happening elsewhere on the web, such as discussions on larger, more popular social media platforms.

Urban Dictionary Embeddings for Slang NLP Applications

no code implementations LREC 2020 Steven Wilson, Walid Magdy, Barbara McGillivray, Kiran Garimella, Gareth Tyson

The choice of the corpus on which word embeddings are trained can have a sizable effect on the learned representations, the types of analyses that can be performed with them, and their utility as features for machine learning models.

Sarcasm Detection Semantic Similarity +3

A First Instagram Dataset on COVID-19

3 code implementations25 Apr 2020 Koosha Zarei, Reza Farahbakhsh, Noel Crespi, Gareth Tyson

We believe that this contribution will help the community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.

Social and Information Networks

Characterising User Content on a Multi-lingual Social Network

no code implementations23 Apr 2020 Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry, Gareth Tyson

In the case of images containing text that cross language barriers, we see that language translation is used to widen the accessibility.

Challenges in the Decentralised Web: The Mastodon Case

1 code implementation12 Sep 2019 Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, Gareth Tyson

The Decentralised Web (DW) has recently seen a renewed momentum, with a number of DW platforms like Mastodon, Peer-Tube, and Hubzilla gaining increasing traction.

Networking and Internet Architecture Cryptography and Security Computers and Society

WhatsApp, Doc? A First Look at WhatsApp Public Group Data

2 code implementations4 Apr 2018 Kiran Garimella, Gareth Tyson

In this dataset paper we describe our work on the collection and analysis of public WhatsApp group data.

Social and Information Networks

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