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Found 5 papers, 2 papers with code
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering
Interestingly, although in general the absolute advantage of learning embeddings through label supervision is highly positive across evaluation datasets, KeyGen2Vec is shown to be competitive with classifier that exploits topic label supervision in Yahoo!
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
Our proposed framework provides access: (i) for verifying whether automatic metrics are faithful to human preference, regardless of their correlation level to human; and (ii) for inspecting the strengths and limitations of NLG systems via pairwise evaluation.
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
The ability to detect Out-of-Domain (OOD) inputs has been a critical requirement in many real-world NLP applications.
BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation
This study mainly investigates two decoding problems in neural keyphrase generation: sequence length bias and beam diversity.
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN
Layer-wise Relevance Propagation (LRP) and saliency maps have been recently used to explain the predictions of Deep Learning models, specifically in the domain of text classification.
