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Found 6 papers, 2 papers with code
Question Generation using a Scratchpad Encoder
In this paper we introduce the Scratchpad Encoder, a novel addition to the sequence to sequence (seq2seq) framework and explore its effectiveness in generating natural language questions from a given logical form.
A Unified Taxonomy of Harmful Content
The ability to recognize harmful content within online communities has come into focus for researchers, engineers and policy makers seeking to protect users from abuse.
Practical Transformer-based Multilingual Text Classification
Transformer-based methods are appealing for multilingual text classification, but common research benchmarks like XNLI (Conneau et al., 2018) do not reflect the data availability and task variety of industry applications.
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
We introduce the Scratchpad Mechanism, a novel addition to the sequence-to-sequence (seq2seq) neural network architecture and demonstrate its effectiveness in improving the overall fluency of seq2seq models for natural language generation tasks.
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
We introduce the Scratchpad Mechanism, a novel addition to the sequence-to-sequence (seq2seq) neural network architecture and demonstrate its effectiveness in improving the overall fluency of seq2seq models for natural language generation tasks.
Improving Knowledge Base Construction from Robust Infobox Extraction
One important approach to constructing a comprehensive knowledge base is to extract information from Wikipedia infobox tables to populate an existing KB.
