Results 91 to 100 of about 311,585 (364)
Head-Driven Statistical Models for Natural Language Parsing
This article describes three statistical models for natural language parsing. The models extend methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches in which a parse tree is represented as the sequence of ...
M. Collins
semanticscholar +1 more source
A Prion‐Like Domain in EBV EBNA1 Promotes Phase Separation and Enables SRRM1 Splicing
This study discoveries that EBV EBNA1 behaves as a prion‐like protein, verified using cell‐based assays and the Saccharomyces cerevisiae Sup35p prion identification system. The prion‐like domain of EBNA1 drives liquid–liquid phase separation. EBNA1 interacts with the splicing factor SRSF1 to regulate the expression of the SRRM1 splicing isoforms ...
Xiaoyue Zhang +17 more
wiley +1 more source
Semi-Supervised Hierarchical Semantic Object Parsing
Models based on Convolutional Neural Networks (CNNs) have been proven very successful for semantic segmentation and object parsing that yield hierarchies of features.
Amindavar, Hamidreza, Mirakhorli, Jalal
core +1 more source
On the Complexity of CCG Parsing [PDF]
We study the parsing complexity of Combinatory Categorial Grammar (CCG) in the formalism of Vijay-Shanker and Weir ( 1994 ). As our main result, we prove that any parsing algorithm for this formalism will take in the worst case exponential time when the size of the grammar, and not only the length of the input sentence, is included in the analysis ...
Marco Kuhlmann +2 more
openaire +5 more sources
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source
Annotating a Low-Resource Language with LLOD Technology: Sumerian Morphology and Syntax
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancient ...
Christian Chiarcos +8 more
doaj +1 more source
End-to-End Wireframe Parsing [PDF]
We present a conceptually simple yet effective algorithm to detect wireframes in a given image. Compared to the previous methods which first predict an intermediate heat map and then extract straight lines with heuristic algorithms, our method is end-to ...
Yichao Zhou, Haozhi Qi, Y. Ma
semanticscholar +1 more source
Butyrate—via epigenetic modulation of the histone core—rebalance dysregulated macrophage function and promotes wound healing under persisting hostile conditions of diabetic mice. Additionally, butyrate harmonizes macrophage interactions with keratinocytes and fibroblasts as well as breaks the vicious cycle of inflammation in chronic wounds by restoring
Karmveer Singh +11 more
wiley +1 more source
Despite the many advantages run-time reconfiguration of FPGAs brings to the table, its usage is mostly limited to quasi-static applications. This is either due to the throughput of the reconfiguration process, or the time required to create new hardware.
Rikus le Roux +2 more
doaj +1 more source
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Many natural language processing tasks, including the most advanced ones, routinely start by several basic processing steps – tokenization and segmentation, most likely also POS tagging and lemmatization, and commonly parsing as well.
Milan Straka, Jana Straková
semanticscholar +1 more source

