Results 221 to 230 of about 15,951 (231)

GPT is an effective tool for multilingual psychological text analysis. [PDF]

Proc Natl Acad Sci U S A
Rathje S, Mirea DM, Sucholutsky I, Marjieh R, Robertson CE, Van Bavel JJ.   +5 more
europepmc   +1 more source

Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions. [PDF]

PeerJ Comput Sci
Abdhood SF, Omar N, Tiun S.
europepmc   +1 more source

Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice. [PDF]

Lancet Reg Health Eur
Verlingue L, Boyer C, Olgiati L, Brutti Mairesse C, Morel D, Blay JY.   +5 more
europepmc   +1 more source

Zero-shot cross-lingual stance detection <i>via</i> adversarial language adaptation. [PDF]

PeerJ Comput Sci
A B, Zubiaga A.
europepmc   +1 more source

NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness

Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia   +2 more
openalex   +1 more source

UFRGS&LIF at SemEval-2016 task 10: Rule-based MWE identification and predominant-supersense tagging

, 2016
Silvio Cordeiro, Carlos Ramisch, Aline Villavicencio   +2 more
openalex   +1 more source

Polytope: High-resolution epitope barcoding forin vivospatial fate-mapping

Postrach D, Pritchard CEJ, Frank L, van Leeuwen T, Messal HA, Krimpenfort P, van Rheenen J, Rodewald H.   +7 more
europepmc   +1 more source

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Semeval 2007 task 18

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
In this paper, we present the details of the Arabic Semantic Labeling task. We describe some of the features of Arabic that are relevant for the task. The task comprises two subtasks: Arabic word sense disambiguation and Arabic semantic role labeling. The task focuses on modern standard Arabic.
Mona Diab, Musa Alkhalifa, Sabri Elkateb, Christiane Fellbaum, Aous Mansouri, Martha Palmer   +5 more
openaire   +1 more source

SemEval 2015, Task 7: Diachronic Text Evaluation [PDF]

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015
In this paper we describe a novel task, namely the Diachronic Text Evaluation task. A corpus of snippets which contain relevant information for the time when the text was created is extracted from a large collection of newspapers published between 1700 and 2010.
Popescu Octavian, Strapparava Carlo
openaire   +1 more source

Computational semantic analysis of language: SemEval-2014 and beyond

Language Resources and Evaluation, 2016
Nakov, Preslav, Zesch, Torsten
openaire   +1 more source