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Found 12 papers, 1 papers with code
On the Importance of Diversity in Question Generation for QA
Automatic question generation (QG) has shown promise as a source of synthetic training data for question answering (QA).
GPT-too: A language-model-first approach for AMR-to-text generation
Meaning Representations (AMRs) are broad-coverage sentence-level semantic graphs.
Ranked #10 on
AMR-to-Text Generation
on LDC2017T10
Cross-Task Knowledge Transfer for Query-Based Text Summarization
We demonstrate the viability of knowledge transfer between two related tasks: machine reading comprehension (MRC) and query-based text summarization.
A Joint Model for Answer Sentence Ranking and Answer Extraction
Answer sentence ranking and answer extraction are two key challenges in question answering that have traditionally been treated in isolation, i. e., as independent tasks.
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence
We present a simple, easy-to-replicate monolingual aligner that demonstrates state-of-the-art performance while relying on almost no supervision and a very small number of external resources.
