Results 71 to 80 of about 10,293,728 (308)

CzeGPT-2–Training New Model for Czech Generative Text Processing Evaluated With the Summarization Task

IEEE Access
Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP).
Adam Hajek, Ales Horak
doaj   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Interactive Natural Language Processing

CoRR, 2023
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as agents capable of observing, acting, and receiving feedback iteratively from external
Zekun Wang, Ge Zhang 0009, Kexin Yang 0002, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu 0003, Chenghua Lin 0002, Shi Wang 0002, Ruibo Liu, Wenhu Chen, Ke Xu 0001, Dayiheng Liu, Yike Guo, Jie Fu 0001   +21 more
openaire   +2 more sources

VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research

IEEE Open Journal of Signal Processing
Speaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, along with the release of a framework, the popularity of this research topic ...
Sarina Meyer, Xiaoxiao Miao, Ngoc Thang Vu   +2 more
doaj   +1 more source

Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk

Molecular Oncology, EarlyView.
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley   +1 more source

Proceedings of the 4th Clinical Natural Language Processing Workshop [PDF]

, 2022
Acronym disambiguation (AD) is the process of identifying the correct expansion of the acronyms in text. AD is crucial in natural language understanding of scientific and medical documents due to the high prevalence of technical acronyms and the possible
Lenskiy Artem, Daskalaki Elena, Seneviratne Sandaru, Suominen Hanna   +3 more
core  

Adaptive natural language processing [PDF]

Proceedings of the workshop on Speech and Natural Language - HLT '90, 1990
Current NLP technology is very weak at understanding new words, novel forms, or input containing errors. The objective of this project is a pilot study of several new ideas for the automatic adaptation and improvement of natural language processing (NLP) systems.
openaire   +4 more sources

MCP-X: An Ultra-Compact CNN for Rice Disease Classification in Resource-Constrained Environments

AgriEngineering
Rice, a dietary staple for over half of the global population, is highly susceptible to bacterial and fungal diseases such as bacterial blight, brown spot, and leaf smut, which can severely reduce yields.
Xiang Zhang, Lining Yan, Belal Abuhaija, Baha Ihnaini   +3 more
doaj   +1 more source

Sublemma-Based Neural Machine Translation

Complexity, 2021
Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source