title: Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ Ð½Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¿Ð¾Ð¼Ð¸Ð½Ð°Ð½Ð¸Ð¹ Ð´Ð°ÑÑ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð² ÑÐµÐºÑÑÐ°Ñ Ð½Ð° ÑÑÑÑÐºÐ¾Ð¼ ÑÐ·ÑÐºÐµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: System for identification and normalization of mentions of date and time in texts in Russian
Creators: name: Ð¤Ð°Ð¼ Ð¢Ñ Ð°Ð½Ñ Ð¤Ð°Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ðµ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸
ÑÐµÐ¼Ð¿Ð¾ÑÐ°Ð»ÑÐ½ÑÐµ Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ñ
ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿ÑÐ°Ð²Ð¸Ð»
ÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ðµ Ð½ÐµÐ¾Ð´Ð½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾ÑÑÐ¸
timeml
ÑÑÑÑÐºÐ¸Ð¹ ÑÐ·ÑÐº
natural language processing
information extraction
temporal expressions
rule system
ambiguity resolution
russian language

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ Ð½Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¿Ð¾Ð¼Ð¸Ð½Ð°Ð½Ð¸Ð¹ Ð´Ð°ÑÑ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð² ÑÐµÐºÑÑÐ°Ñ Ð½Ð° ÑÑÑÑÐºÐ¾Ð¼ ÑÐ·ÑÐºÐµ
Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ Ð¸Ð· ÑÐµÐºÑÑÐ° Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÐ¸Ñ Ð´Ð°ÑÑ, Ð²ÑÐµÐ¼Ñ Ð¸ Ð´Ð»Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÑ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÑÐ²Ð°Ð»Ð°
Ð ÐµÑÐµÐ½Ð¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ Ð½Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð´Ð°ÑÑ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð´ÐµÐ»Ð¸ÑÑÑ Ð½Ð° Ð´Ð²Ðµ ÑÐ°ÑÑÐ¸. Ð Ð¿ÐµÑÐ²Ð¾Ð¹ ÑÐ°ÑÑÐ¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ Duckling Ð¸Ð·Ð²Ð»ÐµÐºÐ°ÑÑÑÑ Ð¸ Ð½Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·ÑÑÑÑÑ Ð¿Ð¾ÑÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½ÑÐµ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ñ. ÐÐ»Ñ ÑÑÐ¾Ð³Ð¾ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð½Ð°Ð±Ð¾Ñ Ð¿ÑÐ°Ð²Ð¸Ð», ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð±ÑÐ» Ð·Ð°Ð¿Ð¸ÑÐ°Ð½ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Haskell Ð´Ð»Ñ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ Ð´Ð°ÑÑ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð¸Ð· ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° ÑÑÑÑÐºÐ¾Ð¼ ÑÐ·ÑÐºÐµ. ÐÐ¾ Ð²ÑÐ¾ÑÐ¾Ð¹ ÑÐ°ÑÑÐ¸ ÑÐ¿Ð¸ÑÐ¾Ðº Ð½Ð°Ð¹Ð´ÐµÐ½Ð½ÑÑ ÐºÐ°Ð½Ð´Ð¸Ð´Ð°ÑÐ¾Ð² Ð¾Ð±ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÑÑÑ, ÑÑÐ¾Ð±Ñ ÑÐºÐ¾ÑÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð½ÐµÐ²ÐµÑÐ½Ð¾ Ð½Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐµ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ, ÑÐ°Ð·ÑÐµÑÐ¸ÑÑ Ð½ÐµÐ¾Ð´Ð½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾ÑÑÑ Ð¸ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÑ Ð½Ð°Ð¹Ð´ÐµÐ½Ð½ÑÐµ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ Ð² Ð²ÑÑÐ¾Ð´Ð½Ð¾Ð¹ ÑÐ¾ÑÐ¼Ð°Ñ, ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ð¹ ÑÑÐ°Ð½Ð´Ð°ÑÑÑ TimeML. Ð­ÑÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ Ð½Ð° ÑÐ·ÑÐºÐµ Python.
Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÑÐ¿ÐµÑÐ½Ð¾ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÑÐ¸ÑÑÐµÑ ÑÐ¿Ð¾Ð¼Ð¸Ð½Ð°Ð½Ð¸Ñ Ð´Ð°ÑÑ, Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð¸ Ð´Ð»Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð´Ð»Ñ Ð´Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾ Ð±Ð¾Ð»ÑÑÐ¾Ð³Ð¾ Ð¿Ð¾Ð´Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð° ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð¸ ÑÐ¼ÐµÐµÑ ÑÐ°Ð·ÑÐµÑÐ°ÑÑ Ð½ÐµÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐ»ÑÑÐ°Ð¸ Ð½ÐµÐ¾Ð´Ð½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾ÑÑÐ¸.
description: The subject of the graduate qualification work is âA system for identification and normalization of temporal expressions in Russian texts.â
In this work, I present a software system for identification and normalization of date and time expression in texts written in Russian.
In this work, I present a software system for identification and normalization of date and time expression in texts written in Russian. The processing has two stages. At the first state, candidate expressions are detected and normalized using the Duckling library. I extended Duckling by creating a new set of rules implemented Haskell. At the second stage, candidate expressions are filtered and corrected based on their context, and then converted to the TimeML annotation language. I implemented the second state in Python.
As a result, the system successfully identifies several types of date and time expressions commonly used in Russian texts and resolves some common cases of ambiguity.