DW Otter, JR Medina, JK Kalita - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief …
Large language models have shown impressive few-shot results on a wide range of tasks. However, when knowledge is key for such results, as is the case for tasks such as question …
In the past decades, recommender systems have attracted much attention in both research and industry communities, and a large number of studies have been devoted to developing …
Y Wang, Y Hou, H Wang, Z Miao… - Advances in …, 2022 - proceedings.neurips.cc
Current state-of-the-art document retrieval solutions mainly follow an index-retrieve paradigm, where the index is hard to be directly optimized for the final retrieval target. In this …
Deep learning methods haverevolutionized speech recognition, image recognition, and natural language processing since 2010. Each of these tasks involves a single modality in …
T Dettmers, P Minervini, P Stenetorp… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on shallow, fast models which can …
G Izacard, E Grave - arXiv preprint arXiv:2012.04584, 2020 - arxiv.org
The task of information retrieval is an important component of many natural language processing systems, such as open domain question answering. While traditional methods …
Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been …
D Hovy, D Yang - Proceedings of the 2021 Conference of the …, 2021 - aclanthology.org
Natural language processing (NLP) applications are now more powerful and ubiquitous than ever before. With rapidly developing (neural) models and ever-more available data …