Results 51 to 60 of about 12,574,087 (368)
The Stanford CoreNLP Natural Language Processing Toolkit
We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP community and also among commercial and government users of ...
Christopher D. Manning+5 more
semanticscholar +1 more source
Language Change and Language Acquisition [PDF]
The aim of this paper is to present diachronic changes in terms of the conditions of first language acquisition. Grammars, seen as mental organs, may change between two generations. A change is initiated when (a population of) learners converge on a grammatical system which differs in at least one parameter value from the system internalized by the ...
openaire +5 more sources
The world's greatest playwright is as alive today as he was 400 years ago. His works reflect the political and domestic concerns of contemporary society and are read widely by students, adapted into lavish films, and staged in stunning new productions ...
Hope, Jonathan
core
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley +1 more source
Abstract Steven Pinker is a professor in the Department of Brain and Cognitive Sciences at MIT, and in 1994 will become director of its McDonnell-Pew Center for Cognitive Neuroscience. He received his B.K from McGill University in 1976 and his Ph.D.
openaire +3 more sources
In the following recessionary story, numbers and letters deflate instead of inflate, and any word that has a comparative element is changed to its lower or lesser ...
Rondeau, Roger E.
core +1 more source
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes+20 more
wiley +1 more source
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Syllable-level Neural Language Model for Agglutinative Language
Language models for agglutinative languages have always been hindered in past due to myriad of agglutinations possible to any given word through various affixes.
Kim, Jihie+3 more
core +1 more source
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton+17 more
wiley +1 more source