Domain-тестирование – формальное название методики тестирования, за которым скрывается банальная работа с классами эквивалентности. Впрочем, не такая уж и банальная. Даже в популярной литературе по тестированию часто упоминают только о существовании классов эквивалентности и о том, что с их граничными значениями работать очень полезно.
Мы знакомимся с основами этой методики, когда делаем первые шаги в тестировании, и больше никогда о ней не задумываемся, наивно считая, что она попала в нашу зону неосознанной компетентности и мы всегда используем ее правильно. А так ли это?
May 1st is celebrated as both the day England and Scotland united as the United Kingdom in 1707 and International Workers' Day, with various springtime festivals and traditions like Morris dancing, crowning a May Queen, and dancing around a Maypole. It is also marked by labor unions organizing large street demonstrations to commemorate the social and economic achievements of the international labor movement.
I presented the Adobe AIR runtime for Android at the "Over the AIR" event in London. Thanks to the Flash Platform, you can easily create first-class applications on Android. More information on my blog www.riagora.com
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
This document discusses a roofing product called Shake 3-Tab and provides information about an old roof that was wind damaged and insured. It notes that the old roof was replaced with a new metal roof that insurance paid for due to wind damage.
The document discusses Pocket Philippines, a company that produces and distributes free postcards and brochures with commercial and informational messages. The cards are placed in racks in public buildings like hotels to advertise local attractions, restaurants, retail outlets, and other venues. The target market includes tourists, travelers, and visitors seeking information about places to go. The document outlines Pocket Philippines' services, production and distribution process, locations where cards can be found, and benefits for both clients and consumers.
Domain-тестирование – формальное название методики тестирования, за которым скрывается банальная работа с классами эквивалентности. Впрочем, не такая уж и банальная. Даже в популярной литературе по тестированию часто упоминают только о существовании классов эквивалентности и о том, что с их граничными значениями работать очень полезно.
Мы знакомимся с основами этой методики, когда делаем первые шаги в тестировании, и больше никогда о ней не задумываемся, наивно считая, что она попала в нашу зону неосознанной компетентности и мы всегда используем ее правильно. А так ли это?
May 1st is celebrated as both the day England and Scotland united as the United Kingdom in 1707 and International Workers' Day, with various springtime festivals and traditions like Morris dancing, crowning a May Queen, and dancing around a Maypole. It is also marked by labor unions organizing large street demonstrations to commemorate the social and economic achievements of the international labor movement.
I presented the Adobe AIR runtime for Android at the "Over the AIR" event in London. Thanks to the Flash Platform, you can easily create first-class applications on Android. More information on my blog www.riagora.com
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
This document discusses a roofing product called Shake 3-Tab and provides information about an old roof that was wind damaged and insured. It notes that the old roof was replaced with a new metal roof that insurance paid for due to wind damage.
The document discusses Pocket Philippines, a company that produces and distributes free postcards and brochures with commercial and informational messages. The cards are placed in racks in public buildings like hotels to advertise local attractions, restaurants, retail outlets, and other venues. The target market includes tourists, travelers, and visitors seeking information about places to go. The document outlines Pocket Philippines' services, production and distribution process, locations where cards can be found, and benefits for both clients and consumers.
Hello Australia Positive Vibrations BBQ - 22/09/07Diego Costa
O documento é sobre um churrasco. Contém imagens de carne assada, bebidas e pessoas se divertindo em um evento ao ar livre. O churrasco parece ter sido uma ocasião agradável para comer, beber e socializar.
Django Introduction Osscamp Delhi September 08 09 2007 Mir NazimMir Nazim
Django is a high-level Python web framework that abstracts away common problems of web development. It provides shortcuts for building dynamic websites and includes features like URL mapping, templates, forms handling, database access, and more. The document provides an overview of Django and walks through building a sample polls application to demonstrate key aspects like models, views, templates, and the admin interface.
Некоторые трудности при обучении программированию: что нельзя обойти и умолч...Alexey Neznanov
Презентация к обсуждению с учителями информатики на школе учителей основных трудностей при обучении программированию и алгоритмизации в старших классах.
Тема не устаревает уже много лет. Систематизация в красивой форме давно напрашивалась.
Как обычно, есть красивые картинки и полезные ссылки.
Онтологически-контролируемое обучение: имплицитное и эксплицитное знаниеAlexey Neznanov
Об основах и развитии Ontology Based Learning, а также усилиях лаборатории Интеллектуальных систем и структурного анализа НИУ ВШЭ.
Выступление 2018-05-25 на семинаре лаборатории "Интеллектуальные методы обработки информации и семантические технологии" ИТМО.
Неотрефлексированный сдвиг парадигмы: от поколений языков программирования вы...Alexey Neznanov
Лекция на школе учителей 2018-11-05. Название слишком забористое, но в целом это более-менее системное и актуальное рассмотрение того, что происходит с языками программирования. Лекция прочитана перед изучением языка Питон (Python). Много ссылок
Classification and clustering in media monitoring: from knowledge engineering...Lidia Pivovarova
This PhD thesis examines classification and clustering techniques for media monitoring, including news grouping, multi-label text classification, and business polarity detection. It focuses on applying these methods to the PULS media monitoring system, which collects over 10,000 news articles daily. The thesis contributes novel algorithms and datasets for grouping news into stories based on named entity salience, large-scale multi-label text classification balancing training sets, and the first dataset and methods for entity-level business polarity detection.
The document describes a Russian paraphrase corpus created by the authors. It contains over 8000 sentence pairs annotated as precise, loose, or non-paraphrases using crowdsourcing. The corpus was collected from news headlines and aims to capture the most important events. The authors evaluate different models for classifying sentence pairs and find that combining linguistic features improves performance over individual feature types. Graphs built from the corpus can reveal connected events more completely than human annotations alone.
This document discusses the work of Antiplagiat Research, which tackles challenging natural language processing and plagiarism detection problems. It outlines their focus on cross-language plagiarism detection, machine-generated text detection, and intrinsic plagiarism detection. It also describes Antiplagiat Research's collaboration opportunities and their participation in evaluating plagiarism detection algorithms through workshops like Dialogue Evaluation.
This document summarizes a study that analyzed 47,410 Instagram images from Saint Petersburg over one year to understand human experience in different urban areas. The images were clustered using Google tags and user hashtags into topics like portraits, cars, flowers. The clusters were mapped geographically to see their spatial distribution. Clusters like hairstyle and animals were evenly distributed, while clothing, fitness and architecture were more detached, indicating urban segregation. The combination of semantic and geospatial analysis of social media images provided new insights into urban life not previously available from traditional data sources.
The document discusses the Pullenti NER Engine and its use in semantic similarity tasks. It presents the Semantics-Oriented Linguistic Processor (SOLP) which establishes text segments containing similar semantic units. It then describes the hybrid linguistic and machine learning approach used by the Pullenti-based engine, including the two-step Semantic Expansion Algorithm. Performance figures and evaluation metrics for Pullenti's named entity recognition are also provided.
The document discusses the reliability of results from corpus research and introduces a solution called GICR that provides automatic result analysis. GICR allows users to see statistics on search areas to check for bias or lack of homogeneity compared to the entire corpus by displaying metadata attributes like URLs, document IDs, author information, region, gender, and genre. It aims to address the problem that simply getting IPM and KWIC search results does not indicate if the results are biased by providing analysis directly in the interface.
This document discusses methods for estimating a user's actual age and gender when those values are not directly provided. It outlines using social graph analysis, natural language processing, analyzing user interests, and statistical methods. For social graph analysis, it examines using connections like classmates to infer age and analyzing local graph properties. NLP looks at gender-specific language in user profiles while interest analysis matches users to gender-biased communities. Statistics applies overall patterns in the data to make estimations.
This document presents mathematical models of information dissemination and warfare. It discusses:
1) Models of information spreading through both vertical (centralized) and horizontal (interpersonal) flows, and how the combination of these determines information dynamics in society.
2) Models of information adoption and forgetting over time, and the effects of incomplete media coverage and two-step perception.
3) Models of information warfare between two information sources, examining the necessary conditions for one to win over the other.
4) Extensions of these models including periodic destabilization, additional factors like forgetting, and a model of individual choice-making during information warfare.
This document discusses the analysis and modeling of complex systems. It describes analyzing the problem, modeling the system, and determining both quantitative and qualitative parameters. An example is given of assigning weights to different quantitative parameters. The document recommends creating a coordinate system and basis to define qualitative parameters. It formulates the final task as creating a concept for a basis of a quality parameter system. It seeks colleagues to partner with on further developing these analysis methods.
This document discusses trend detection at OK. It describes the multi-step process used: text extraction from logs, language detection, tokenization, dictionary extraction, vectorization, deduplication, statistics calculation, trend identification, clustering of trending terms, extraction of relevant documents, and visualization of trends. Both batch and streaming approaches are discussed to address the need for timely trend detection. Technologies used include Apache Kafka, YARN, Spark, Samza, Lucene and ELKI.
1. The researcher analyzed quantitative characteristics such as entropy, readability, lexical diversity, frequencies of words, and parts of speech for different text genres including scientific texts, news articles, and student writings.
2. The analysis found that student writings had higher entropy and readability than news articles or scientific texts. News articles had higher lexical diversity and frequencies of common words.
3. To evaluate the accuracy of a developed Old Irish lemmatizer, the researcher applied it to a test corpus of 840 tokens, of which 186 were unknown words. The lemmatizer correctly predicted lemmas for 84 of the unknown words, achieving an accuracy of around 60% for unknown words.
This document discusses methods for evaluating clustering validity indices (CVIs) that measure the quality of clustering results. It proposes using human assessments of clustered data as ground truth to evaluate how well different CVIs match human judgments. An experimental evaluation of 19 CVIs on 41 datasets clustered using 6 algorithms showed that none of the CVIs perfectly matched human assessments. The document concludes that while no universal CVI exists, meta-learning from past human assessments could help select the most appropriate CVI for a new clustering problem.
The document provides information on various artificial intelligence and voice assistant technologies including:
1) JUST AI and Eugene Goostman chatbot, a winner of the 2014 Turing 100 Chatbots competition.
2) Everyday Assistant, a voice assistant available on mobile devices.
3) Dusi Voice Assistant with over 1 million downloads on Google Play.
4) Era of messengers for chatting with personal assistants without voice.
5) ElSmart, the first Android phone for blind users.
6) Zenbot, an open source framework for developing voice assistants across platforms.
This document proposes a data augmentation method for image sentiment analysis using hashtags. It involves collecting a small set of manually labeled images and their hashtags, learning to predict sentiment labels from the hashtags using machine learning, and using this model to automatically label more images. Preliminary results show the hashtag-predicted labels match human labels with 83-95% accuracy. However, more testing is needed on a general set of images to fully evaluate the method's effectiveness.
This document proposes a method for continuous time series alignment in human action recognition. It defines continuous versions of time series, warping paths, and the dynamic time warping (DTW) distance. The method finds the optimal continuous warping path by approximating solutions to a cost minimization problem. An experiment applies the continuous DTW to classify human activities from accelerometer data, achieving classification accuracy close to the discrete DTW method. The continuous approach solves issues with resampling data and has potential for improved approximations and optimization methods.
2. Цели эксперимента
• “Онтологическая” информативность определений в
терминологическом словаре ?
• Уровень формальных знаний, достаточных для решения задачи ?
• Технология построения терминологического словаря как
источника информации для спецификации предметной области ?
• Продукционные правила как средство описания процесса
извлечения информации из текстов определений?
3. Ограничения
Определение ограничено одним предложением. Из него
исключены анафорические отношения.
Общий контекст терминологического словаря образован
исключительно списком определяемых терминов. Получаемый
формальный результат анализа не зависит от порядка обработки
определений.
Термином всегда обозначен класс, причем никак не связанный
с общей системой понятий естественного языка.
В качестве формального языка для представления целевой
онтологии использован OWL в упрощенном L-диалекте
4. Структура системы извлечения онтологической
информации из терминологического словаря
Текст определения
Сем.-синтаксич.
анализ определения
Интерпретатор
правил
Фрагменты онтологии
Семантический
словарь
(синтактика)
Семантический.
словарь
(онтология)
Дерево разбора
Правила
Функции и
предикаты
5. Этапы анализа
1. Синтаксический разбор
2. Общая постсинтаксическая обработка
3. Получение тезауруса
4. Преобразование тезауруса в онтологию
6. Галактическая широта - одна из двух галактических координат,
измеренная от плоскости галактики к объекту».
Галактическая широта
!ЭтоЕсть
одна_из
!Какой
измеренная
двух
от_плоскости
!Ото
!Род
галактических координат
!Род
галактики
к_объекту
!Род
!кДат
7. Результат трасформации дерева разбора
Галактический широта
Это
Class
Галактический координата
subClassOf
Объект
этоПараметр
9. Виды правил
T-правила, применяются к очередному не обработанному
исходящему триплету анализируемого узла дерева разбора;
N-правила, применяются к анализируемому узлу только
после того, как все исходящие триплеты этого узла оказались
обработанными T-правилами.
Структура правил:
<имя_правила ТИП={T|N} >
решающая часть правила =>
исполнительная часть
</ имя_правила>
10. Пример правила
<ЧислРодРод ТИП = "T">
#W1 Род #W2 & #W3 Род #W1 &
ЧАСТЬРЕЧИ(#W1)= Числ &
ЧАСТЬРЕЧИ(#W3)= Сущ &
СЛОВО(#W3)=*_из &
ЗНАЧАЩИЙ(#W2) != 0 =>
ВСТАВИТЬ(#W3 Род #W2);
УДАЛИТЬ(#W1 Род #W2)
</ЧислРодРод>
11. Общие оценки
1. Оценка объема необходимой лексикографической
информации, поставляемой семантическим словарем
Морфологическа информация – в полной мере
Семантическая информация – в значительно меньшей
степени
2. Оценка объема и состава правил
Ориентированность на общую задачу извлечения
онтологии из терминологического словаря
Независимость от специализации предметой области
Неполнота
12. Общий вывод
От разрабатываемого метода автоматизированного извлечения
онтологической информации из определений
терминологического словаря можно ожидать, по-видимому,
качественного изменения технологии разработки как
собственно словаря, так и сопутствующей ему онтологии.
Исходная версия онтологии может быть получена
полностью автоматически. Скорее всего, полученная версия
будет нуждаться в дальнейшей правке, но эта правка уже
будет осуществляться в режиме интерактивного
взаимодействия с программной системой. При этом правке
могут подвергаться в равной степени как исходные тексты,
так и выводимая из них онтология.
