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Found 4 papers, 1 papers with code
A Survey on Word Meta-Embedding Learning
Meta-embedding (ME) learning is an emerging approach that attempts to learn more accurate word embeddings given existing (source) word embeddings as the sole input.
I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews
We consider the problem of counterfactual detection (CFD) in product reviews.
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering
The Conversational Question Answering (CoQA) task involves answering a sequence of inter-related conversational questions about a contextual paragraph.
Automatic Taxonomy Generation - A Use-Case in the Legal Domain
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information easier and faster to help with compliance related issues.
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