Lectures related to Reading Comprehension: Question Answering Systems

Question Answering: Deep Learning Insights

Explores question answering systems, reading comprehension models, and the challenges in achieving accurate responses.

Question Answering: Challenges and Solutions

Explores challenges in question answering systems and solutions, including fine-tuning and open-domain retrieval.

Explores deep learning for question answering, analyzing neural networks and model robustness to noise.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

How to Read a Research Article in Social Sciences

Teaches students how to read research articles actively and efficiently in social sciences, emphasizing engaging with the argument and evidence.

Parsing: CYK Algorithm

Explores formal grammars, parsing algorithms, CYK algorithm efficiency, and syntactic correctness in Natural Language Processing.

BERT: Pretraining and Applications

Delves into BERT pretraining for transformers, discussing its applications in NLP tasks.

Instructional Design Document: Key Elements

Focuses on the key elements of an Instructional Design Document, covering scope, delivery, objectives, materials, stakeholders, and outline.

Contextual Representations: ELMO and BERT Overview

Covers contextual representations in NLP, focusing on ELMO and BERT architectures and their applications in various tasks.

Foundations of Information Systems: Course Overview and Key Concepts

Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.

Word Embeddings: Models and Learning

Explores word embeddings, context importance, and learning algorithms for creating new representations.

Modern NLP and Ethics in NLP

Delves into advancements and challenges in NLP, along with ethical considerations and potential harms.

Deep Learning for NLP

Introduces deep learning concepts for NLP, covering word embeddings, RNNs, and Transformers, emphasizing self-attention and multi-headed attention.

Publication Analysis: Understanding Research Articles

Introduces publication analysis, emphasizing critical evaluation of research articles and effective reading strategies.

Probabilistic Retrieval

Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.

Designing Learning Experiences: CS411 Class Project

Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

Reading in the Digital Age: Social Trends and Research Insights

Explores the vibrant reading culture on social media and the rise of social reading platforms like Wattpad.

Quantum Optics: Lecture I

Covers quantum optics, circuit quantum electrodynamics, and quantized harmonic oscillators.