Results 31 to 40 of about 248,393 (200)
Categorization of Unorganized Text Corpora for better Domain-Specific Language Modeling
Advances in Electrical and Electronic Engineering, 2013 This paper describes the process of categorization of unorganized text data gathered from the Internet to the in-domain and out-of-domain data for better domain-specific language modeling and speech recognition.
Jan Stas +3 more
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Transformer-Based Composite Language Models for Text Evaluation and Classification
Mathematics, 2023 Parallel natural language processing systems were previously successfully tested on the tasks of part-of-speech tagging and authorship attribution through mini-language modeling, for which they achieved significantly better results than independent ...
Mihailo Škorić +2 more
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Topology-Sensitive Neural Architecture Search for Language Modeling
IEEE Access, 2021 Recently Neural Architecture Search has drawn interest from researchers because of its ability to learn neural network architectures from data automatically.
Quan Du +4 more
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Language models are not naysayers: an analysis of language models on negation benchmarks
Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023 Negation has been shown to be a major bottleneck for masked language models, such as BERT. However, whether this finding still holds for larger-sized auto-regressive language models (``LLMs'') has not been studied comprehensively. With the ever-increasing volume of research and applications of LLMs, we take a step back to evaluate the ability of ...
Thinh Hung Truong +3 more
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Parameters of Language Modeling of Emotional Situations in the Literary Text
Вестник Волгоградского государственного университета: Серия 2. Языкознание, 2018 The paper reveals the main parameters of language modeling of emotions in the literary text, such as causation, temporal localization, intensity, external manifestation. Using the material of stories of the collection Dark alleys by I.A.
Larisa A. Kiseleva
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A General Technique to Train Language Models on Language Models [PDF]
Computational Linguistics, 2005 We show that under certain conditions, a language model can be trained on the basis of a second language model. The main instance of the technique trains a finite automaton on the basis of a probabilistic context-free grammar, such that the Kullback-Leibler distance between grammar and trained automaton is provably minimal.
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A structured language model [PDF]
Proceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997 The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words - binary-parse-structure with headword annotation.
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A Language for Trust Modelling [PDF]
, 2016 The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems.
Tim Muller +2 more
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Binding Language Models in Symbolic Languages
CoRR, 2022 Though end-to-end neural approaches have recently been dominating NLP tasks in both performance and ease-of-use, they lack interpretability and robustness. We propose Binder, a training-free neural-symbolic framework that maps the task input to a program, which (1) allows binding a unified API of language model (LM) functionalities to a programming ...
Zhoujun Cheng +11 more
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IEEE AccessGPT is widely recognized as one of the most versatile and powerful large language models, excelling across diverse domains. However, its significant computational demands often render it economically unfeasible for individuals and small businesses ...
Huang Huang +2 more
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