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Found 15 papers, 3 papers with code
The Post-Stroke Speech Transcription (PSST) Challenge
We present the outcome of the Post-Stroke Speech Transcription (PSST) challenge.
Refocusing on Relevance: Personalization in NLG
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response.
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared task to evaluate search on scientific literature related to COVID-19.
Are Some Words Worth More than Others?
Current evaluation metrics for language modeling and generation rely heavily on the accuracy of predicted (or generated) words as compared to a reference ground truth.
Long-Tail Predictions with Continuous-Output Language Models
Neural language models typically employ a categorical approach to prediction and training, leading to well-known computational and numerical limitations.
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic.
We Need to Talk about Standard Splits
It is standard practice in speech {\&} language technology to rank systems according to their performance on a test set held out for evaluation.
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model
In clinical assessment of people with aphasia, impairment in the ability to recall and produce words for objects (anomia) is assessed using a confrontation naming task, where a target stimulus is viewed and a corresponding label is spoken by the participant.
Noisy Neural Language Modeling for Typing Prediction in BCI Communication
Language models have broad adoption in predictive typing tasks.
Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication
Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication.
A Multi-Context Character Prediction Model for a Brain-Computer Interface
Brain-computer interfaces and other augmentative and alternative communication devices introduce language-modeing challenges distinct from other character-entry methods.
Target word prediction and paraphasia classification in spoken discourse
We present a system for automatically detecting and classifying phonologically anomalous productions in the speech of individuals with aphasia.
On Developing Resources for Patient-level Information Retrieval
Privacy concerns have often served as an insurmountable barrier for the production of research and resources in clinical information retrieval (IR).
