Infrared and visible image fusion technology and application: A review
The images acquired by a single visible light sensor are very susceptible to light conditions,
weather changes, and other factors, while the images acquired by a single infrared light …
weather changes, and other factors, while the images acquired by a single infrared light …
Conversational question answering: A survey
Question answering (QA) systems provide a way of querying the information available in
various formats including, but not limited to, unstructured and structured data in natural …
various formats including, but not limited to, unstructured and structured data in natural …
Patient knowledge distillation for bert model compression
Pre-trained language models such as BERT have proven to be highly effective for natural
language processing (NLP) tasks. However, the high demand for computing resources in …
language processing (NLP) tasks. However, the high demand for computing resources in …
Coqa: A conversational question answering challenge
Humans gather information through conversations involving a series of interconnected
questions and answers. For machines to assist in information gathering, it is therefore …
questions and answers. For machines to assist in information gathering, it is therefore …
Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
BERT with history answer embedding for conversational question answering
Conversational search is an emerging topic in the information retrieval community. One of
the major challenges to multi-turn conversational search is to model the conversation history …
the major challenges to multi-turn conversational search is to model the conversation history …
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and
natural language processing based on Apache MXNet (incubating). These toolkits provide …
natural language processing based on Apache MXNet (incubating). These toolkits provide …
Topiocqa: Open-domain conversational question answering with topic switching
V Adlakha, S Dhuliawala, K Suleman… - Transactions of the …, 2022 - direct.mit.edu
In a conversational question answering scenario, a questioner seeks to extract information
about a topic through a series of interdependent questions and answers. As the …
about a topic through a series of interdependent questions and answers. As the …
Open-retrieval conversational question answering
Conversational search is one of the ultimate goals of information retrieval. Recent research
approaches conversational search by simplified settings of response ranking and …
approaches conversational search by simplified settings of response ranking and …
Transformers in the real world: A survey on nlp applications
The field of Natural Language Processing (NLP) has undergone a significant transformation
with the introduction of Transformers. From the first introduction of this technology in 2017 …
with the introduction of Transformers. From the first introduction of this technology in 2017 …