LibreTimes

Результаты поиска по запросу «reference»

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15 результатов

Таблица производных

2026СправочникSergey

Справочная таблица производных элементарных функций: степенной, показательной, логарифмической, тригонометрических и обратных к ним.
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240

Список основных интегралов

2026СправочникSergey

Справочная таблица основных неопределённых интегралов от элементарных функций: степенной, показательной, логарифмической и тригонометрических.
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270

Интегралы от рациональных функций

2026СправочникSergey

Справочная таблица неопределённых интегралов от рациональных выражений, включая квадратичные знаменатели и разложение на простейшие дроби.
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290

Интегралы, содержащие корни

2026СправочникSergey

Справочная таблица неопределённых интегралов от выражений с квадратными корнями и иррациональностями.
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260

Lexical Quantile-Based Text Complexity Measure

2019Статья конференцииAITHEA, Russia, Maksim Eremeev, Konstantin Vorontsov

This paper introduces a new approach to estimating the text document complexity.Common readability indices are based on average length of sentences and words.In contrast to these methods, we propose to count the number of rare words occurring abnormally often in the document.We use the reference corpus of texts and the quantile approach in order to determine what words are rare, and what frequencies are abnormal.We construct a general text complexity model, which can be adjusted for the specific task, and introduce two special models.The experimental design is based on a set of thematically similar pairs of Wikipedia articles, labeled using crowdsourcing.The experiments demonstrate the competitiveness of the proposed approach.
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7

Text Tree Edit Distance: A Language Model-Based Metric for Text Hierarchies

2025Статья конференцииFedor Sobolevsky, Konstantin Vorontsov

Text trees as a data structure occur in numerous machine learning tasks like hierarchical summarization and automatic mind map generation. One of the main methods of quality evaluation in these tasks is comparison with reference hierarchies created by experts. The method used so far to compare text hierarchies, as shown in this work, poorly accounts for their structure and text semantics relative to phrasing. To address this issue, we propose a new metric on the set of text trees — text tree edit distance (TTED), based on tree edit distance with semantic distance between texts measured using a large language model. To evaluate how the metric reflects different aspects of text tree difference, we introduce special quality coefficients that reflect the sensitivity of a metric to paraphrasing relative to structural and semantic differences of text trees. Using these coefficients, we conduct extensive testing of the proposed metric and its modifications compared to a baseline used in previous works to compare text hierarchies, which shows that TTED indeed captures significant differences between text trees more accurately than the previously used method. We also provide a practical implementation of TTED for further usage.
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6

QUANTILE-BASED APPROACH TO ESTIMATING COGNITIVE TEXT COMPLEXITY

2020Статья конференцииM. A. Eremeev, K. V. Vorontsov

Computational Linguistics and Intellectual Technologies

This paper introduces an approach to measuring the cognitive complexity of texts on various language levels. While standard readability indices are based on the linear combination of primary statistics, our general approach allows us to estimate complexity on morphological, lexical, syntactic, and discursive levels. Each model is defined by the tokens for the specific language level and the complexity function of a single token. We then use the reference collection of moderately complex texts and the quantile-based approach to spot the abnormally rare tokens. The proposed supervised ensemble, based on the ElasticNet model, incorporates models from all language levels. Having collected a labeled dataset through crowdsourcing, consisting of pairs of articles from the Russian Wikipedia, we consider several models and ensembles and compare them to common baselines. Suggested models are flexible due to the freedom in choosing the reference collection. The described experiments confirm the competitiveness of the proposed approach, as the ensembles demonstrate the best target metric value.
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6