Метрики семантической близости слов успешно применяются при решении многих задач Автоматической Обработки Текста (АОТ), таких как извлечение отношений, расширение поисковых запросов, разрешение омонимии и поиск семантически подобных текстов. Данная лекция начинается с обзора классических подходов к семантической близости основанных на семантических сетях, словарях и корпусах текстов. Далее мы представим две новые метрики близости. Первая основана на лексико-синтаксических шаблонах и корпусе текстов. Она обладает точностью сопоставимой с метриками основанными на WordNet. Вторая объединяет 16 разнородных метрик и обучена на множестве семантических отношений из словаря. Эксперименты показывают что данная метрика значительно превосходит по точности и полноте большинство существующих подходов. Лекция завершается обзором двух систем АОТ в которых применяются разработанные метрики.
Страница проекта - serelex.it-claim.ru
This document summarizes a presentation about avoiding app store rejections. It discusses that the app review process is partly subjective and depends on factors like the developer's brand. While hybrid apps are allowed, the app needs to provide a high-quality native experience. Common reasons for rejection include not following Apple's guidelines, inappropriate content, or performance issues. Developers are encouraged to address reviewer feedback, maintain communication, and focus on meeting Apple's standards for user experience.
Fabrice Florin gave a 20 min. presentation about Maker Art at the reMAKE Education Summit at 180 Studios in Santa Rosa, on Thursday, August 4, 2016.
About Maker Art
In our maker art classes at Tam Makers, we help students build miniature worlds with animated characters, then bring them to life with light, sounds, motion -- and stories. Kids combine art and electronics to create their own ‘wonderbox’. In some classes, we also coach them to make a City of the Future together. In the process, they get deeply engaged and develop a wider range of creative, technical and social skills in a playful way. In this talk, we shared what we learned together in our first maker art classes at Tam Makers in Mill Valley, California.
About Teaching Maker Art:
http://fabriceflorin.com/2016/02/14/teaching-maker-art/
Halloween Wonderbox Video:
https://vimeo.com/177526951
About Tam Makers:
http://www.tammakers.org/
About Fabrice
Fabrice is an art maker and social entrepreneur who creates unique experiences to inform and engage communities through digital and physical media. He has led the development of many pioneering products in education, news and entertainment, working with innovators such as Apple, Macromedia and Wikipedia. He is now a teacher and founder at Tam Makers in Mill Valley, where he teaches maker art to adults and teens.
Learn more about Fabrice:
http://fabriceflorin.com/about/
About reMAKE Education
The reMAKE Education Summit was held at 180 Studios in Santa Rosa, in a newly-opened 15,000 square foot makerspace. The Summit brought together educators from all grade levels and subject areas with leaders in the Maker Movement for an in-depth, hands-on exploration of how maker education is changing the face of education and the world.
Learn more about the reMAKE Education Summit:
http://www.remakeeducation.org/
This document discusses the use of social media tools for business and marketing purposes. It provides statistics on companies' use of tools like Twitter and highlights both benefits and challenges. Comments from social media surveys show a range of opinions from those experimenting to those who see it as a waste of time. The key takeaway is that formulating a social media strategy is important before rushing to use new tools.
Метрики семантической близости слов успешно применяются при решении многих задач Автоматической Обработки Текста (АОТ), таких как извлечение отношений, расширение поисковых запросов, разрешение омонимии и поиск семантически подобных текстов. Данная лекция начинается с обзора классических подходов к семантической близости основанных на семантических сетях, словарях и корпусах текстов. Далее мы представим две новые метрики близости. Первая основана на лексико-синтаксических шаблонах и корпусе текстов. Она обладает точностью сопоставимой с метриками основанными на WordNet. Вторая объединяет 16 разнородных метрик и обучена на множестве семантических отношений из словаря. Эксперименты показывают что данная метрика значительно превосходит по точности и полноте большинство существующих подходов. Лекция завершается обзором двух систем АОТ в которых применяются разработанные метрики.
Страница проекта - serelex.it-claim.ru
This document summarizes a presentation about avoiding app store rejections. It discusses that the app review process is partly subjective and depends on factors like the developer's brand. While hybrid apps are allowed, the app needs to provide a high-quality native experience. Common reasons for rejection include not following Apple's guidelines, inappropriate content, or performance issues. Developers are encouraged to address reviewer feedback, maintain communication, and focus on meeting Apple's standards for user experience.
Fabrice Florin gave a 20 min. presentation about Maker Art at the reMAKE Education Summit at 180 Studios in Santa Rosa, on Thursday, August 4, 2016.
About Maker Art
In our maker art classes at Tam Makers, we help students build miniature worlds with animated characters, then bring them to life with light, sounds, motion -- and stories. Kids combine art and electronics to create their own ‘wonderbox’. In some classes, we also coach them to make a City of the Future together. In the process, they get deeply engaged and develop a wider range of creative, technical and social skills in a playful way. In this talk, we shared what we learned together in our first maker art classes at Tam Makers in Mill Valley, California.
About Teaching Maker Art:
http://fabriceflorin.com/2016/02/14/teaching-maker-art/
Halloween Wonderbox Video:
https://vimeo.com/177526951
About Tam Makers:
http://www.tammakers.org/
About Fabrice
Fabrice is an art maker and social entrepreneur who creates unique experiences to inform and engage communities through digital and physical media. He has led the development of many pioneering products in education, news and entertainment, working with innovators such as Apple, Macromedia and Wikipedia. He is now a teacher and founder at Tam Makers in Mill Valley, where he teaches maker art to adults and teens.
Learn more about Fabrice:
http://fabriceflorin.com/about/
About reMAKE Education
The reMAKE Education Summit was held at 180 Studios in Santa Rosa, in a newly-opened 15,000 square foot makerspace. The Summit brought together educators from all grade levels and subject areas with leaders in the Maker Movement for an in-depth, hands-on exploration of how maker education is changing the face of education and the world.
Learn more about the reMAKE Education Summit:
http://www.remakeeducation.org/
This document discusses the use of social media tools for business and marketing purposes. It provides statistics on companies' use of tools like Twitter and highlights both benefits and challenges. Comments from social media surveys show a range of opinions from those experimenting to those who see it as a waste of time. The key takeaway is that formulating a social media strategy is important before rushing to use new tools.
Lidia Pivovarova is a PhD student at Saint-Petersburg State University working on natural language understanding and conceptual modeling under the supervision of Dr. V. Sh. Rubashkin. Their goals include developing an ontology and conceptual model to support information extraction from newspaper texts by identifying key factors and patterns related to the factors. They are building an attribute tree ontology with over 100 domains and testing it on Russian language texts.
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.
This document discusses how various fruits and vegetables resemble different parts of the human body and how recent research has found they benefit those corresponding organs or systems. It provides examples like carrots resembling and benefiting the eyes, tomatoes resembling and benefiting the heart, and walnuts resembling and benefiting the brain. It encourages sharing the information to keep "the candle of love, hope and friendship" alive by passing it on to others.
This document discusses open innovation in organizations. It argues that innovation requires tight integration between digital actors, human actors, and multiple disciplines. Open innovation follows a quadruple helix model involving collaboration between business, government, academia, and the public. An open innovation ecosystem facilitates knowledge exchange between humans and computers. New management styles are needed to coordinate knowledge across industries and overcome obstacles through motivation and new performance metrics. Education must support innovation through new learning methods to develop skills like divergent thinking, design thinking, and visual thinking. Games and gamification can also drive innovation by engaging people emotionally.
Coca-Cola's 2007 web initiatives included several music, games, and promotional programs. A music mixer tool allowed users to create and share music mixes. A tag hits promotion offered chances to win iPods by collecting caps and exchanging them for cards. The Coca-Cola Studio featured musical fusion between bands. An online football contest awarded sport activities to creators of the best slogans. A Messenger theme pack provided emoticons and backgrounds. A character's social media page promoted an offline campaign. Collecting caps could earn Coca-Cola glasses and Avon products. A light campaign included commercials and prizes for changing your life. The music mixer launched in Latin America. Codes under bottle caps could win cars and
Madrid Alfresco Day 2015 - John Newton - Digital as the Future of WorkJohn Newton
John Newton presented on how digital technologies are reshaping work and the requirements for enterprise content management (ECM) systems. He discussed four trends driving these changes: new ways of working, extended enterprises, exploding digital content, and new IT infrastructures. Legacy ECM systems are struggling to meet these new demands. The Alfresco approach provides an open and flexible ECM platform that is simple for users, enables extended collaboration beyond the firewall, brings information overload under control, and is built for today's technologies and future changes. Alfresco is developing a suite of connected smart process applications to help drive the flow of information through digital enterprises.
ПОСТРОЕНИЕ ОТНОШЕНИЙ В СМЕШАННОЙ ОНТОЛОГИЧЕСКОЙ СЕТИ ДЛЯ РЕШЕНИЯ ЗАДАЧ ТЕСТИР...Сергей Пономарев
Настоящая статья описывает метод построения отношений вида «синоним», «гиперним» и «гипоним» в смешанной онтологической сети. Построенные отношения использовались для решения задач определения семантической близости и ассоциаций между словами в рамках тестирования на полях форума «Диалог-2015».
Вычислительная лексическая семантика: метрики семантической близости и их при...Alexander Panchenko
Вычислительная лексическая семантика: метрики семантической близости и их приложения
Серия лекций в НИУ ВШЭ, факультет бизнес-информатики и прикладной математики (Нижний Новгород)
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.
1. ПРИМЕНЕНИЕ МОДЕЛЕЙ ГЛАГОЛЬНОГО УПРАВЛЕНИЯ И ВЕРОЯТНОСТНЫХ ПРАВИЛ ПРИ МОРФОЛОГИЧЕСКОЙ РАЗМЕТКЕ РУССКОЯЗЫЧНЫХ ТЕКСТОВ Литвинов М.И. Московский институт электроники и математики, каф. ИТАС
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17. Состав лексической базы сочетаемости слов Параметры Число сочетаний млн. Гл. + сущ. 20.00 Гл. + нар. 1.05 Деепр. + сущ. 2.37 Деепр. + нар. 0.16 Прич. + сущ. 5.43 Прич. + нар. 0.28 Сущ. + прил. 4.88 Сущ.+сущ. 2.26
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26. Качество работы модуля морфологической разметки Параметры Покрытие Качество Триграммы 71.50 98.21 База 71.98 96.74 Правила 77.73 95.94 Триграммы + База 72.02 96.74 Триграммы + Правила 77.73 95.94 Триграммы + База + Правила 78.03 95.60 Триграммы + Правила + Оптимизация 81.15 94.65 База + Правила 78.03 95.60 Правила + Оптимизация 81.15 94.65 База + Правила + Оптимизация 81.27 94.66 Триграммы + База + Правила + Оптимизация 81.27 94.66
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Editor's Notes
В работе [1] И.А. Мельчук приводит такие результаты исследований омонимии: «Омонимия же характерна лишь для низших уровней языка: омонимичных морф много, омонимия словоформ также встречается довольно часто (даже в таких флективных языках как русский), но уже омонимичные фразы в речи попадаются сравнительно редко. Представить же себе омонимичный абзац или омонимичную страницу текста очень трудно (в большинстве языков это, по всей видимости, и невозможно)». Обратим внимание, что омонимичные фразы встречаются, конечно, на практике, но зачастую являются искусственными примерами компьютерных лингвистов для проверки своих систем. В системах автоматической обработки текста используются в основном первые пять уровней. Слоги иногда используются при представлении информации в морфологических словарях.
Доклад посвящен обзору методов, лежащих в основе вероятностных систем.
Корпусная лингвистика Обучение с учителем, без учителя, полуобучение.
Сказать, что по замечаниям Эрика Брилла все вероятностные модели обучаются по сути одним и тем же зависимостям, но только в несколько иной форме.
Кратко об этом упомянуть и сказать, что об этом докладывалось в прошлом году коллегой.
Кратко об этом упомянуть и сказать, что об этом докладывалось в прошлом году коллегой.
Кратко об этом упомянуть и сказать, что об этом докладывалось в прошлом году коллегой.
Здесь сказать, что детерминиронное правило – если слева от слова есть частица to , то в английском это глагол.
Здесь сказать, что детерминиронное правило – если слева от слова есть частица to , то в английском это глагол.
Кратко об этом упомянуть и сказать, что об этом докладывалось в прошлом году коллегой.