The document discusses developing guiding questions for lessons, including general questions, lesson-specific questions, and methods for asking different types of questions. It provides examples of guiding questions for a lesson on electric currents in different environments and explains how to develop guiding questions to focus a lesson and evaluate student understanding. The document also addresses identifying learning standards and objectives for a lesson based on 21st century skills and higher-order thinking.
Creation of speech corpus for emotion analysis in Gujarati language and its e...IJECEIAES
In the last couple of years emotion recognition has proven its significance in the area of artificial intelligence and man machine communication. Emotion recognition can be done using speech and image (facial expression), this paper deals with SER (speech emotion recognition) only. For emotion recognition emotional speech database is essential. In this paper we have proposed emotional database which is developed in Gujarati language, one of the official’s language of India. The proposed speech corpus bifurcate six emotional states as: sadness, surprise, anger, disgust, fear, happiness. To observe effect of different emotions, analysis of proposed Gujarati speech database is carried out using efficient speech parameters like pitch, energy and MFCC using MATLAB Software.
Myanmar named entity corpus and its use in syllable-based neural named entity...IJECEIAES
Myanmar language is a low-resource language and this is one of the main reasons why Myanmar Natural Language Processing lagged behind compared to other languages. Currently, there is no publicly available named entity corpus for Myanmar language. As part of this work, a very first manually annotated Named Entity tagged corpus for Myanmar language was developed and proposed to support the evaluation of named entity extraction. At present, our named entity corpus contains approximately 170,000 name entities and 60,000 sentences. This work also contributes the first evaluation of various deep neural network architectures on Myanmar Named Entity Recognition. Experimental results of the 10-fold cross validation revealed that syllable-based neural sequence models without additional feature engineering can give better results compared to baseline CRF model. This work also aims to discover the effectiveness of neural network approaches to textual processing for Myanmar language as well as to promote future research works on this understudied language.
A NOVEL APPROACH FOR NAMED ENTITY RECOGNITION ON HINDI LANGUAGE USING RESIDUA...kevig
Many Natural Language Processing (NLP) applications involve Named Entity Recognition (NER) as an important task, where it leads to improve the overall performance of NLP applications. In this paper the Deep learning techniques are used to perform NER task on Hindi text data as it found that as compared to English NER, Hindi language NER is not sufficiently done. This is a barrier for resource-scarce languages as many resources are not readily available. Many researchers use various techniques such as rule based, machine learning based and hybrid approaches to solve this problem. Deep learning based algorithms are being developed in large scale as an innovative approach now a days for the advanced NER models which will give the best results out of it. In this paper we devise a Novel architecture based on residual network architecture for preferably Bidirectional Long Short Term Memory (BiLSTM) with fasttext word embedding layers. For this purpose we use pre-trained word embedding to represent the words in the corpus where the NER tags of the words are defined as the used annotated corpora. BiLSTM Development of an NER system for Indian languages is a comparatively difficult task. In this paper, we have done the various experiments to compare the results of NER with normal embedding and fasttext embedding layers to analyse the performance of word embedding with different batch sizes to train the deep learning models. Here we present a state-of-the-art results with said approach F1 Score measures.
Creation of speech corpus for emotion analysis in Gujarati language and its e...IJECEIAES
In the last couple of years emotion recognition has proven its significance in the area of artificial intelligence and man machine communication. Emotion recognition can be done using speech and image (facial expression), this paper deals with SER (speech emotion recognition) only. For emotion recognition emotional speech database is essential. In this paper we have proposed emotional database which is developed in Gujarati language, one of the official’s language of India. The proposed speech corpus bifurcate six emotional states as: sadness, surprise, anger, disgust, fear, happiness. To observe effect of different emotions, analysis of proposed Gujarati speech database is carried out using efficient speech parameters like pitch, energy and MFCC using MATLAB Software.
Myanmar named entity corpus and its use in syllable-based neural named entity...IJECEIAES
Myanmar language is a low-resource language and this is one of the main reasons why Myanmar Natural Language Processing lagged behind compared to other languages. Currently, there is no publicly available named entity corpus for Myanmar language. As part of this work, a very first manually annotated Named Entity tagged corpus for Myanmar language was developed and proposed to support the evaluation of named entity extraction. At present, our named entity corpus contains approximately 170,000 name entities and 60,000 sentences. This work also contributes the first evaluation of various deep neural network architectures on Myanmar Named Entity Recognition. Experimental results of the 10-fold cross validation revealed that syllable-based neural sequence models without additional feature engineering can give better results compared to baseline CRF model. This work also aims to discover the effectiveness of neural network approaches to textual processing for Myanmar language as well as to promote future research works on this understudied language.
A NOVEL APPROACH FOR NAMED ENTITY RECOGNITION ON HINDI LANGUAGE USING RESIDUA...kevig
Many Natural Language Processing (NLP) applications involve Named Entity Recognition (NER) as an important task, where it leads to improve the overall performance of NLP applications. In this paper the Deep learning techniques are used to perform NER task on Hindi text data as it found that as compared to English NER, Hindi language NER is not sufficiently done. This is a barrier for resource-scarce languages as many resources are not readily available. Many researchers use various techniques such as rule based, machine learning based and hybrid approaches to solve this problem. Deep learning based algorithms are being developed in large scale as an innovative approach now a days for the advanced NER models which will give the best results out of it. In this paper we devise a Novel architecture based on residual network architecture for preferably Bidirectional Long Short Term Memory (BiLSTM) with fasttext word embedding layers. For this purpose we use pre-trained word embedding to represent the words in the corpus where the NER tags of the words are defined as the used annotated corpora. BiLSTM Development of an NER system for Indian languages is a comparatively difficult task. In this paper, we have done the various experiments to compare the results of NER with normal embedding and fasttext embedding layers to analyse the performance of word embedding with different batch sizes to train the deep learning models. Here we present a state-of-the-art results with said approach F1 Score measures.
Through proprietary advances in traditional phage display antibody library design, phage display screening and affinity maturation technologies, we rapidly generate antibodies at the required binding and specificity criteria
Antibody screening is more helpful in identifying the
highly productive cells and is more significant in the
form of laboratory techniques. Complete solution on screening
of antibodies can be effectively offered only
by such kinds of reputed medical institutions.
For more details please visit
http://www.axiomxinc.com/
Creativity, Productivity, Collaboration NSW Roadshow - November 2013Microsoft Education AU
In November 2013, Microsoft, Adobe, Intel, Lenovo, Acer, Leading with Technology, IC Central held 8 professional development events for teachers in NSW. This is the slide deck used to lead the learning.
My presentation for the Georgia Educational Technology Conference. Whew! I finished in the nick of time. Thanks God for letting Mom whisper in my ear. ;-)
Have you ever needed a way to measure your leadership IQ? Or been in a performance review where the majority of time was spent discussing your need to improve as a leader? If you have ever wondered what your core leadership competencies are and how to build on and improve them, Jennifer Bonine shares a toolkit to help you do just that. This toolkit includes a personal assessment of your leadership competencies, explores a set of eight dimensions of successful leaders, provides suggestions on how you can improve competencies that are not in your core set of strengths, and describes techniques for leveraging and building on your strengths. These tools can help you become a more effective and valued leader in your organization. Exercises help you gain an understanding of yourself and strive for balanced leadership through recognition of both your strengths and your “development opportunities.”
Through proprietary advances in traditional phage display antibody library design, phage display screening and affinity maturation technologies, we rapidly generate antibodies at the required binding and specificity criteria
Antibody screening is more helpful in identifying the
highly productive cells and is more significant in the
form of laboratory techniques. Complete solution on screening
of antibodies can be effectively offered only
by such kinds of reputed medical institutions.
For more details please visit
http://www.axiomxinc.com/
Creativity, Productivity, Collaboration NSW Roadshow - November 2013Microsoft Education AU
In November 2013, Microsoft, Adobe, Intel, Lenovo, Acer, Leading with Technology, IC Central held 8 professional development events for teachers in NSW. This is the slide deck used to lead the learning.
My presentation for the Georgia Educational Technology Conference. Whew! I finished in the nick of time. Thanks God for letting Mom whisper in my ear. ;-)
Have you ever needed a way to measure your leadership IQ? Or been in a performance review where the majority of time was spent discussing your need to improve as a leader? If you have ever wondered what your core leadership competencies are and how to build on and improve them, Jennifer Bonine shares a toolkit to help you do just that. This toolkit includes a personal assessment of your leadership competencies, explores a set of eight dimensions of successful leaders, provides suggestions on how you can improve competencies that are not in your core set of strengths, and describes techniques for leveraging and building on your strengths. These tools can help you become a more effective and valued leader in your organization. Exercises help you gain an understanding of yourself and strive for balanced leadership through recognition of both your strengths and your “development opportunities.”