同谋 发表于 2025-3-23 12:26:34

A Comparative Study of Publicly Available Russian Sentiment Lexiconsdependence of their F1-measure on their TF-IDF model size. The resulting union lexicon most fully reflects the sentiment lexica of the present day Russian language and can be used both in scientific research and in applied sentiment analysis systems.

十字架 发表于 2025-3-23 17:07:21

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净礼 发表于 2025-3-23 20:13:39

1865-0929 St. Petersburg, Russia, in October 2018. The 19 revised full papers were carefully reviewed and selected from 56 submissions and cover a wide range of topics, including morphology and word-level semantics, sentence and discourse representations, corpus linguistics, language resources, and social int

Highbrow 发表于 2025-3-23 22:33:35

https://doi.org/10.1007/978-3-031-48129-1om LSTM. The aim is to build a model which is simple to implement, light in terms of parameters and works across multiple supervised sentence comparison tasks. We show good results for the model on two sentence comparison datasets.

Ibd810 发表于 2025-3-24 03:25:17

Encyclopedia of Heroism Studiesa confirmation measure and an aggregation function. We designed a regularizer for topic modeling representing this score. The resulting topic modeling method shows significant superiority to all analogs in reflecting human assessments of topic interpretability.

etidronate 发表于 2025-3-24 07:28:19

Supervised Mover’s Distance: A Simple Model for Sentence Comparisonom LSTM. The aim is to build a model which is simple to implement, light in terms of parameters and works across multiple supervised sentence comparison tasks. We show good results for the model on two sentence comparison datasets.

矛盾 发表于 2025-3-24 12:24:14

Four Keys to Topic Interpretability in Topic Modelinga confirmation measure and an aggregation function. We designed a regularizer for topic modeling representing this score. The resulting topic modeling method shows significant superiority to all analogs in reflecting human assessments of topic interpretability.

LIKEN 发表于 2025-3-24 15:23:53

Conference proceedings 2018burg, Russia, in October 2018. The 19 revised full papers were carefully reviewed and selected from 56 submissions and cover a wide range of topics, including morphology and word-level semantics, sentence and discourse representations, corpus linguistics, language resources, and social interaction a

PANT 发表于 2025-3-24 19:37:43

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直言不讳 发表于 2025-3-25 01:02:15

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查看完整版本: Titlebook: Artificial Intelligence and Natural Language; 7th International Co Dmitry Ustalov,Andrey Filchenkov,Jan Žižka Conference proceedings 2018 S