It is our choices, Harry, that show what we truly are, far more than our abilities
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The document provides advice and guidance for students transitioning to campus life from PK, a professor at IIIT Hyderabad. It includes quotes and links related to time management, pursuing interests, controlling wants and FOMO, exploring options before deciding on majors, aiming high while making consistent small progress, and asking for help when needed. The document acknowledges students who provided inputs and the knowledge gained from others to help with advising students.
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It is our choices, Harry, that show what we truly are, far more than our abil...
The document is a transcript of a talk given by PK to B.Tech orientation students at IIIT Hyderabad. Some key points from the talk include:
- Encouraging students to make friends, participate in clubs and extracurricular activities.
- Emphasizing time management and not missing out on opportunities in the first two semesters.
- Advising students to explore different projects and areas before deciding on a focus or specialization.
- Noting that managing courses, social life, hobbies and more will be challenging but important during their time at IIIT.
It is our choices, Harry, that show what we truly are, far more than our abil...
This document appears to be the transcript from a B.Tech orientation presentation given by Ponnurangam Kumaraguru at IIIT Hyderabad. The presentation provides advice and encouragement to new students on managing their time at IIIT Hyderabad. It emphasizes making friends, trying new activities and clubs, controlling wants and FOMO, celebrating failures, and using social media to connect with others in a positive way. References are made to movies to illustrate points about perseverance, finding passion, and having a growth mindset during the transition to university life.
“It is our choices, Harry, that show what we truly are, far more than our abi...
The document contains a transcript from a presentation given by Ponnurangam Kumaraguru to students at IIIT Una for B.Tech orientation. It includes quotes on choices defining who you are more than abilities. Kumaraguru is introduced along with references to movies, books, and sayings about making the most of your college opportunities through networking, time management, not limiting yourself early, and avoiding addiction to streaming at the cost of learning. Students are encouraged to find their passion and not misuse newfound freedom.
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It is our choices, Harry, that show what we truly are, far more than our abil...
The document is a transcript of a talk given by PK to B.Tech orientation students at IIIT Hyderabad. Some key points from the talk include:
- Encouraging students to make friends, participate in clubs and extracurricular activities.
- Emphasizing time management and not missing out on opportunities in the first two semesters.
- Advising students to explore different projects and areas before deciding on a focus or specialization.
- Noting that managing courses, social life, hobbies and more will be challenging but important during their time at IIIT.
It is our choices, Harry, that show what we truly are, far more than our abil...
This document appears to be the transcript from a B.Tech orientation presentation given by Ponnurangam Kumaraguru at IIIT Hyderabad. The presentation provides advice and encouragement to new students on managing their time at IIIT Hyderabad. It emphasizes making friends, trying new activities and clubs, controlling wants and FOMO, celebrating failures, and using social media to connect with others in a positive way. References are made to movies to illustrate points about perseverance, finding passion, and having a growth mindset during the transition to university life.
“It is our choices, Harry, that show what we truly are, far more than our abi...
The document contains a transcript from a presentation given by Ponnurangam Kumaraguru to students at IIIT Una for B.Tech orientation. It includes quotes on choices defining who you are more than abilities. Kumaraguru is introduced along with references to movies, books, and sayings about making the most of your college opportunities through networking, time management, not limiting yourself early, and avoiding addiction to streaming at the cost of learning. Students are encouraged to find their passion and not misuse newfound freedom.
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The document provides an overview of privacy concepts including definitions of privacy, forms of privacy, social media privacy, data anonymity, and ethics around studying privacy. It discusses Westin's four states of privacy (solitude, intimacy, anonymity, reserve) and Solove's taxonomy of privacy harms. It also covers Westin's privacy indexes, privacy studies conducted in India, OECD and FTC privacy principles, and the costs of reading privacy policies.
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Stress has become a significant mental health problem of the 21st century. The number of people suffering from stress is increasing rapidly. Thus, easy-to-use, inexpensive, and accurate biomarkers are needed to detect stress during its inception. Early detection of stress-related diseases allows people to access healthcare services. This thesis focuses on the development of stress stimuli and the detection of stress induced by these stimuli. Identifying brain regions affected while exposing the subject to these stressful stimuli has also been done. Three different stimuli, viz. videos, gamified application, and a game, are investigated to study their effect as stress induction stimuli. To this end, in this thesis, a system is proposed to classify participants into stressed and non-stressed categories using machine learning, deep learning, and statistical techniques. The statistical significance between stressed and non-stressed was found using Higuchi Fractal Dimensions (HFD) feature extracted from EEG. This feature also helped identify the brain’s most affected region due to stress. Another outcome of this thesis is the extra annotation of the ground truth which further helps to validate the participant’s experience under the influence of stressful stimuli. This annotation was performed by evaluating participant performance under time pressure. In addition, a technique based on in-game analytics is presented to complement the betterment of self-reported data. Further, another dimension utilizing signatures from WiFi Media Access Control (MAC) layer traffic is presented to detect stress indicators in a device-agnostic way.
A Framework for Automatic Question Answering in Indian Languages
The distribution of research efforts done in the field of Natural Language
Processing (NLP) has not been uniform across all natural languages. It has
been observed that there is a significant gap between the development of
NLP tools in Indic languages (indic-NLP), and in European languages. We
aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for
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user, then the developed chatbot is able to find a relevant Question-Answer
pair (QnA) among its top-3 suggestions 70% of the time. We also observed
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database. Since database creation requires substantial manual efforts, we decided to explore other ways to curate knowledge from raw text irrespective
of domain.
We developed an Open Information Extraction (OIE) tool for Indic languages. During the preprocessing, chunking of text is performed with our
fine-tuned chunker, and the phrase-level dependency tree was constructed
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handcrafted using the dependency relations in Indic languages. Our method
performed better than other multilingual OIE tools on manual and automatic evaluations. The contextual embeddings used in this work does not
take syntactic structure of sentence into consideration. Hence, we devised
an architecture that takes the dependency tree of the sentence into consideration to calculate Dependency-aware Transformer (DaT) embeddings.
Since the dependency tree is also a graph, we used Graph Convolution
Network (GCN) to incorporate the dependency information into the contextual embeddings, thus producing DaT embeddings. We used a hate-speech
detection task to evaluate the effectiveness of DaT embeddings. Our future
plan is to evaluate the applicability of DaT embeddings for the task of chunking. Moreover, the broader aim for the future is to develop an end-to-end
pronoun resolution model to improve the quality of triples and DaT embeddings. We also aim to explore the applicability of all our works to solve the
problem of long-context question answering.
A Framework For Automatic Question Answering in Indian Languages
The distribution of research efforts done in the field of Natural Language Processing (NLP) has not been uniform across all natural languages. It has been observed that there is a significant gap between the development of NLP tools in Indic languages (indic-NLP), and in European languages. We aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for healthcare workers and young mothers of India. It supported Hindi language in either Devanagri script or Roman script. We observed that, in our FAQ database, if there exists a question similar to the query asked by the user, then the developed chatbot is able to find a relevant Question-Answer pair (QnA) among its top-3 suggestions 70\% of the time. We also observed that performance of our chatbot is dependent on the diversity in the FAQ database. Since database creation requires substantial manual efforts, we decided to explore other ways to curate knowledge from raw text irrespective of domain.
We developed an Open Information Extraction (OIE) tool for Indic languages. During the preprocessing, chunking of text is performed with our fine-tuned chunker, and the phrase-level dependency tree was constructed using the predicted chunks. In order to generate structured triples, various rules were handcrafted using the dependency relations in Indic languages. Our method performed better than other multilingual OIE tools on manual and automatic evaluations. The contextual embeddings used in this work does not take syntactic structure of sentence into consideration. Hence, we devised an architecture that takes the dependency tree of the sentence into consideration to calculate Dependency-aware Transformer (DaT) embeddings.
Since the dependency tree is also a graph, we used Graph Convolution Network (GCN) to incorporate the dependency information into the contextual embeddings, thus producing DaT embeddings. We used a hate-speech detection task to evaluate the effectiveness of DaT embeddings. Our future plan is to evaluate the applicability of DaT embeddings for the task of chunking. Moreover, the broader aim for the future is to develop an end-to-end pronoun resolution model to improve the quality of triples and DaT embeddings. We also aim to explore the applicability of all our works to solve the problem of long-context question answering.
The distribution of research efforts done in the field of Natural Language Processing (NLP) has not been uniform across all natural languages. It has been observed that there is a significant gap between the development of NLP tools in Indic languages (indic-NLP), and in European languages. We aim to explore different directions to develop an automatic question answering system for Indic languages. We built a FAQ-retrieval based chatbot for healthcare workers and young mothers of India. It supported Hindi language in either Devanagri script or Roman script.
Exposing, Examining and Intervening Fake News
Fake news is not new. Fake instances have been circulating the globe, causing fear, hatred, and misconceptions to its intended audiences. This, in turn, has led to widespread destruction causing harm to humankind. The term regained its legitimacy after being named word of the year by Collins in 2017. However, earlier references to the word seem to misfit in the current scenario. Past studies have used the term to define related but distinct types of content, including satires, news parody, and news propaganda. However, current literature identifies fake news as false stories propagating on social media, particularly with an intent to discredit news organizations’ critical reporting, further muddying discourse around fake news. As the scourge of fake news continues to plague our information ecosystem, there is a dire need to look for solutions that can identify the false content and are robust enough to adapt to the time invariability.
This talk reviews different terminologies used interchangeably with the term fake news. We provide concrete definitions and examples to familiarise the audience with the distinct characteristics of each type. We also discuss a list of the existential fake news datasets and present exhaustive literature on the detection and intervention methods of fake news. We also intend to discuss the gaps and solutions we identified. We conclude by providing some potential directions we believe are the need of the hour.
It's MY JOB: Identifying and Improving Content Quality for Online recruitmen...
Online recruitment platforms such as LinkedIn, Glassdoor, Indeed.com, and naukri.com are used to build business connections, find jobs, and recruit Candidates. These platforms increase recruiter productivity, help reach wider audiences, and provide a rich source of information for job seekers. These platforms also witness enormous volumes of user-generated content such as job postings, CVs, and company profiles. Among this content, job postings are important for identifying, analyzing, and determining the roles, responsibilities and skills of a specific position.
These act as a gateway for job seekers to understand the requirement and help the recruiter attract the right talent. But some of these contain untenable facts, vague, non-standard, and missing entities that dilute the content quality over the platforms. The unmonitored nature of this content makes it difficult to assess the information's credibility, affecting the platform's trustworthiness and, in turn, the user experience. Therefore, there is a need to identify, analyze, and enhance the content quality on these platforms. In this report, we look at different perspectives, literature, and work done for content quality analysis, detection and enhancement over online recruitment platforms.
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It is our choices, Harry, that show what we truly are, far more than our abilities
- 1. “It is our choices, Harry, that show what we truly are, far more than our abilities.” https://www.linkedin.com/in/ponguru/ B.Tech. Orientation Nov 15, 2022 IIIT Una Ponnurangam Kumaraguru (“PK”) #ProfGiri CS IIIT Hyderabad ACM Distinguished Member TEDx Speaker https://www.instagram.com/pk.profgiri/
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- 3. 3
- 4. 4
- 9. Life is like a box of chocolates. You never know what you're gonna get ~ Forrest Gump 9 Make friends – Participate in clubs, if it is not there, create one https://en.wikipedia.org/wiki/Forrest_Gump
- 11. Kamyab Hone Ke Liye Nahi Kabil Hone Ke Liye Padho, Kamyabi …Piche Ayegi….. ~ 3 idiots 11 “Study to excel, not to be successful, Pursue excellence and success will come chasing you.” Stay focused on learning – Ask for help, don’t hesitate – Everybody needs help https://en.wikipedia.org/wiki/3_Idiots
- 13. Kalaam vazhvil ponnanathu Adhaai gavanam vaithu munneridu ~ Annaatthe, Annaatthe song 13 Time management – Regrets – 1, 2 semester missing out – CGPA ‘also’ matters – Others? https://en.wikipedia.org/wiki/Annaatthe
- 15. Aasa Adakkida Therinja Inga Ellaam Kaaladiyil Kedakkum ~ Petta, Ullaallaa song 15 Control your wants – FOMO https://en.wikipedia.org/wiki/Petta_(film)
- 19. 19 Woh jeena bhi koi jeena hai jis mein kick na ho Connect to Randy Pausch? https://www.imdb.com/title/tt2372222/
- 20. 20 How to find kick? Not same for any 2 of us
- 21. 21
- 22. If you want something different, you are going to have to do something different ~ Jennifer Lopez / Jack Canfield 22 What are the different things you want? How to do them differently?
- 23. Know him? 23
- 24. 24
- 25. 25
- 26. 26
- 27. 27
- 28. 28
- 30. 30 https://www.imdb.com/title/tt1449283/ “Rivers know this: There is no hurry. We shall get there some day.” ~ Winnie the Pooh “If the string breaks, then we try another piece of string.” ~ Owl
- 32. Transition to campus You should know what you want Try out projects, clubs, … Managing courses, food, clothes, hobbies, friends, relationships is hard 32
- 33. Transition to campus You should know what you want Try out projects, clubs, friends … Managing courses, food, clothes, hobbies, friends, relationships is hard 33 https://www.pinterest.com/pin/862228291128906498/
- 34. 34
- 35. Explore a bit before deciding Student #1 CAPTCHA - Privacy - Usable Security - Social Media & Policing Student #2 Cyberbullying - Pedophile - Credibility in Twitter 35 “Want the perfect chair” https://www.youtube.com/watch?v=Y3DlwnW-SmM
- 36. 36
- 37. 37 Aim high
- 38. Make small progress, consistently 38
- 40. Acknowledgements All students who gave inputs All gyaans that I got from my well wishers Twitter users 49