94 citations · 142 across the 10 of their papers we have counts for
7 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…
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems
Caleb Ziems, Jane A. Yu, Yi-Chia Wang +2
Conversational agents have come increasingly closer to human competence in open-domain dialogue settings; however, such models can reflect insensitive, hurtful, or entirely incoher…
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…
Happiness Entailment: Automating Suggestions for Well-Being
Sara Evensen, Yoshihiko Suhara, Alon Halevy +3
Understanding what makes people happy is a central topic in psychology. Prior work has mostly focused on developing self-reporting assessment tools for individuals and relies on ex…
Open Information Extraction from Question-Answer Pairs
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan +2
Open Information Extraction (OpenIE) extracts meaningful structured tuples from free-form text. Most previous work on OpenIE considers extracting data from one sentence at a time.…