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Found 14 papers, 6 papers with code
Collecting Verified COVID-19 Question Answer Pairs
We release a dataset of over 2, 100 COVID19 related Frequently asked Question-Answer pairs scraped from over 40 trusted websites.
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation
Existing research suggests that automatic speech recognition (ASR) models can benefit from additional contexts (e. g., contact lists, user specified vocabulary).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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MultiMUC: Multilingual Template Filling on MUC-4
We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Arabic, Chinese, Farsi, Korean, and Russian.
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials.
Multilingual Coreference Resolution in Multiparty Dialogue
Existing multiparty dialogue datasets for entity coreference resolution are nascent, and many challenges are still unaddressed.
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other language, typically English.
Gradual Fine-Tuning for Low-Resource Domain Adaptation
Fine-tuning is known to improve NLP models by adapting an initial model trained on more plentiful but less domain-salient examples to data in a target domain.
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models
Copy mechanisms are employed in sequence to sequence models (seq2seq) to generate reproductions of words from the input to the output.
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
Time Delay Neural Networks (TDNNs), also known as onedimensional Convolutional Neural Networks (1-d CNNs), are an efficient and well-performing neural network architecture for speech recognition.
