Lectures related to Entity linking

Entity Disambiguation and Link Prediction

Explores entity disambiguation, linking text to knowledge bases, and link prediction in knowledge graphs with examples from Wikipedia.

Entity & Information Extraction

Explores knowledge extraction from text, covering key concepts like keyphrase extraction and named entity recognition.

Coreference Resolution

Delves into coreference resolution, discussing challenges, advancements, and evaluation methods.

Impresso: Newspaper Archives Exploration

Explores historical newspaper archives through OCR quality, named entities, topic modeling, and text reuse analysis.

Text Understanding

Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.

Digital Urban History: Lausanne Time Machine

Explores the complexities of digitizing historical urban records and emphasizes the importance of linking information for comprehensive analysis.

Named Entities Analysis

Covers various projects related to bots developed by students at EPFL.

Learning Policies from Non-Traditional Sources

Explores learning interactive policies from non-traditional sources of data for autonomous systems, including language-informed latent actions and the PLATO framework.

Vector Space Semantics (and Information Retrieval)

Explores the Vector Space model, Bag of Words, tf-idf, cosine similarity, Okapi BM25, and Precision and Recall in Information Retrieval.

Text Mining: Long-tail Data and Brain Connectivity

Explores text mining of long-tail data in neuroscience and brain connectivity, including named entity recognition, protein concentration mining, and comparison of connectivity matrices.

Handling Text Data: Document Retrieval and Classification

Covers document retrieval, classification, sentiment analysis, and topic detection using TF-IDF matrices and contextualized word vectors.

Ethical Considerations in Natural Language Processing

Explores ethical challenges in NLP systems, including biases, toxicity, privacy, and disinformation.

Neuroinformatics, Text Mining MOOC: Simulation Neurocience

Explores text mining in neuroinformatics to extract brain connectivity data and annotate model parameters from scientific literature.

Entity Disambiguation Log in to Mediaspace to watch this video

Explores entity disambiguation techniques, including NER, Viterbi algorithm, and GPT models, emphasizing prompt design and in-context learning.

Entity Disambiguation Log in to Mediaspace to watch this video

Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.

Information Extraction: Methods and Applications Log in to Mediaspace to watch this video

Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.

Knowledge Inference: Entity Disambiguation and Graph Embeddings Log in to Mediaspace to watch this video

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Information Extraction & Knowledge Inference Log in to Mediaspace to watch this video

Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.

Coreference Resolution: Models and Evaluation Log in to Mediaspace to watch this video

Explores coreference resolution models, challenges in scoring spans, graph refinement techniques, state-of-the-art results, and the impact of pretrained Transformers.

Projects Presentation & Logistics Log in to Mediaspace to watch this video

Covers the presentation of 4 projects in the course and related logistics.