Results 41 to 50 of about 200,375 (331)

Argumentation Mining in User-Generated Web Discourse

open access: yes, 2015
The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways.
Gurevych, Iryna, Habernal, Ivan
core   +1 more source

Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning [PDF]

open access: yes, 2012
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Cohen, S. B., Smith, N. A.
core   +3 more sources

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

open access: yesAdvanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang   +7 more
wiley   +1 more source

Generating Artificial Error Data for Indonesian Preposition Error Corrections

open access: yesInternational Journal of Technology, 2017
Large-scale annotated data written by second language learners are not always available for low-resource languages such as Indonesian. To cope with data scarcity, it is important to generate ‘learner-like’ artificial error sentences when the available ...
Budi Irmawati   +2 more
doaj   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

Corpora for Computational Linguistics [PDF]

open access: yes, 2007
Since the mid 90s corpora has become very important for computational linguistics. This paper offers a survey of how they are currently used in different fields of the discipline, with particular emphasis on anaphora and coreference resolution, automatic
Evans, Richard   +4 more
core   +1 more source

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang   +12 more
wiley   +1 more source

Morphemic Structure of Lithuanian Words

open access: yesOpen Linguistics, 2016
The Lithuanian language is a typical flectional language that has a very sophisticated system of grammatical forms and many means of derivation; it is also characterized by uncertain boundaries between morphemes.
Rimkutė Erika   +2 more
doaj   +1 more source

Is This a Joke? Detecting Humor in Spanish Tweets

open access: yes, 2017
While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics.
A Reyes   +11 more
core   +1 more source

A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena [PDF]

open access: yes, 2016
Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and efficiency. Despite the vast amount of research published to date, the interest of the community in this problem has
Bisazza, Arianna, Federico, Marcello
core   +2 more sources

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