abstractive question answering
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in abstractive question answering
Most implemented papers
A Distributional and Orthographic Aggregation Model for English Derivational Morphology
Modeling derivational morphology to generate words with particular semantics is useful in many text generation tasks, such as machine translation or abstractive question answering.
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
For a dialogue, it corrupts a window of text with dialogue-inspired noise, and guides the model to reconstruct this window based on the content of the remaining conversation.
Parameter-Efficient Abstractive Question Answering over Tables or Text
kolk/pea-qa
•
•
dialdoc (ACL) 2022
In this work, we study parameter-efficient abstractive QA in encoder-decoder models over structured tabular data and unstructured textual data using only 1. 5% additional parameters for each modality.
Compositional Task-Oriented Parsing as Abstractive Question Answering
Task-oriented parsing (TOP) aims to convert natural language into machine-readable representations of specific tasks, such as setting an alarm.
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
This work aims to build a text embedder that can capture characteristics of texts specified by user instructions.
