122 citations · 266 across the 21 of their papers we have counts for
5 papers · 1 filter
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…
Database Reasoning Over Text
James Thorne, Majid Yazdani, Marzieh Saeidi +3
Neural models have shown impressive performance gains in answering queries from natural language text. However, existing works are unable to support database queries, such as "List…
Neural Databases
James Thorne, Majid Yazdani, Marzieh Saeidi +3
In recent years, neural networks have shown impressive performance gains on long-standing AI problems, and in particular, answering queries from natural language text. These advanc…
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli, Fabio Petroni, Aleksandra Piktus +5
Recent progress in pre-trained language models led to systems that are able to generate text of an increasingly high quality. While several works have investigated the fluency and…
Misspelling Oblivious Word Embeddings
Bora Edizel, Aleksandra Piktus, Piotr Bojanowski +3
In this paper we present a method to learn word embeddings that are resilient to misspellings. Existing word embeddings have limited applicability to malformed texts, which contain…