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Found 11 papers, 1 papers with code
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next
Human–computer conversation has long been an interest of artificial intelligence and natural language processing research.
Dependency Dialogue Acts -- Annotation Scheme and Case Study
DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes the multi-relational response structure of dialogues in addition to the dialogue acts and rhetorical relations.
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the-art research has been implemented in a large variety of customer-facing products.
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience.
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
Neural networks have long been at the center of a debate around the cognitive mechanism by which humans process inflectional morphology.
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.
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.
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.
