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06/29/2023
Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
Vision-Language Pre-training (VLP) has advanced the performance of many ...
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02/08/2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
Recent transformer language models achieve outstanding results in many n...
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11/28/2022
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Because of the considerable heterogeneity and complexity of the technolo...
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11/15/2022
An Efficient Active Learning Pipeline for Legal Text Classification
Active Learning (AL) is a powerful tool for learning with less labeled d...
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11/11/2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Advances in deep neural network (DNN) architectures have enabled new pre...
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05/25/2022
Discovering Language-neutral Sub-networks in Multilingual Language Models
Multilingual pre-trained language models perform remarkably well on cros...
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05/16/2022
SciLander: Mapping the Scientific News Landscape
The COVID-19 pandemic has fueled the spread of misinformation on social ...
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12/09/2021
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach
Mapping the technology landscape is crucial for market actors to take in...
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12/04/2021
Characterizing Retweet Bots: The Case of Black Market Accounts
Malicious Twitter bots are detrimental to public discourse on social med...
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10/25/2021
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
This paper describes SciClops, a method to help combat online scientific...
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09/14/2021
Legal Transformer Models May Not Always Help
Deep learning-based Natural Language Processing methods, especially tran...
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06/15/2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models
The adoption of Transformer-based models in natural language processing ...
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05/27/2021
Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
In March 2021, Turkey withdrew from The Istanbul Convention, a human-rig...
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04/12/2021
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs
In the era of misinformation and information inflation, the credibility ...
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01/15/2021
A Dataset of State-Censored Tweets
Many governments impose traditional censorship methods on social media p...
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10/20/2020
Misleading Repurposing on Twitter
Twitter allows users to change their screen name and other profile attri...
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08/27/2020
SciLens News Platform: A System for Real-Time Evaluation of News Articles
We demonstrate the SciLens News Platform, a novel system for evaluating ...
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06/05/2020
Spoken dialect identification in Twitter using a multi-filter architecture
This paper presents our approach for SwissText KONVENS 2020 shared t...
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04/23/2020
Upgrading the Newsroom: An Automated Image Selection System for News Articles
We propose an automated image selection system to assist photo editors i...
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03/15/2020
Can Celebrities Burst Your Bubble?
Polarization is a growing, global problem. As such, many social media ba...
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11/20/2019
On Node Features for Graph Neural Networks
Graph neural network (GNN) is a deep model for graph representation lear...
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10/17/2019
Lateral Astroturfing Attacks on Twitter Trending Topics
Astroturfing attacks use automated accounts to artificially propel a cho...
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10/08/2019
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
In this paper, we propose a new approach to learn multimodal multilingua...
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09/06/2019
Parallel Computation of Graph Embeddings
Graph embedding aims at learning a vector-based representation of vertic...
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04/16/2019
A Dynamic Embedding Model of the Media Landscape
Information about world events is disseminated through a wide variety of...
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04/16/2019
Selection Bias in News Coverage: Learning it, Fighting it
News entities must select and filter the coverage they broadcast through...
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03/13/2019
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
This paper describes, develops, and validates SciLens, a method to evalu...
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12/31/2018
Cluster-Based Active Learning
In this work, we introduce Cluster-Based Active Learning, a novel framew...
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02/07/2018
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
Privacy policies are the primary channel through which companies inform ...
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08/07/2017
Multimodal Classification for Analysing Social Media
Classification of social media data is an important approach in understa...
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04/25/2017
Taxonomy Induction using Hypernym Subsequences
We propose a novel, semi-supervised approach towards domain taxonomy ind...
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04/25/2017
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification
We propose a simple, yet effective, approach towards inducing multilingu...
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12/22/2016
ScienceWISE: Topic Modeling over Scientific Literature Networks
We provide an up-to-date view on the knowledge management system Science...
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08/22/2013