Results 71 to 80 of about 3,185,640 (378)
Incremental generation of plural descriptions : similarity and partitioning [PDF]
Approaches to plural reference generation emphasise descriptive brevity, but often lack empirical backing. This paper describes a corpus-based study of plural descriptions, and proposes a psycholinguisticallymotivated algorithm for plural reference
Conference on Empirical Methods in Natural Language Processing Conference on Computational Natural Language Learning+2 more
core
Social context prevents heat hormetic effects against mutagens during fish development
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere+5 more
wiley +1 more source
Multilingual Text Classification for Dravidian Languages [PDF]
As the fourth largest language family in the world, the Dravidian languages have become a research hotspot in natural language processing (NLP). Although the Dravidian languages contain a large number of languages, there are relatively few public available resources. Besides, text classification task, as a basic task of natural language processing, how
arxiv
Using the Relative Entropy of Linguistic Complexity to Assess L2 Language Proficiency Development
This study applies relative entropy in naturalistic large-scale corpus to calculate the difference among L2 (second language) learners at different levels.
Kun Sun, Rong Wang
doaj +1 more source
Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer
G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren+16 more
wiley +1 more source
A Precis of Language Models are not Models of Language [PDF]
Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks, Large Neural Language Models are ill-suited as comprehensive models of natural language.
arxiv
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
Software Infrastructure for Natural Language Processing
We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish+3 more
core +4 more sources
ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu+6 more
wiley +1 more source
VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research
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+2 more
doaj +1 more source