Look Who it Was Random video

Discovering Research Ideas Using Semantic Vectors & Machine Learning • Mads Rydahl • GOTO 2016

1,085 views · Published 26 October 2016 · 49:16 · Indexed 21 October 2026

Channel: GOTO Conferences · 2016 · Science & Technology

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This presentation was recorded at GOTO Copenhagen 2016
http://gotocph.com

Mads Rydahl - Co-founder of Unsilo

ABSTRACT
UNSILO works with leading Scientific Publishers to enrich their content and improve discoverability across domains and disciplines. Our discovery tools capture trending ideas and novel concepts as they emerge, and they help researchers find articles that describe parallel research of similar ideas across different domains and disciplines. [...]

TIMECODES
0:00 Introduction
0:36 UNSILO Mission
2:47 UNSILO Core Technology
3:25 Key Challenges
5:14 Full Text Search
5:49 Using Keywords and Ontologies
6:04 UNSILO Exhaustive Concept Extraction
6:40 UNSILO Complete Semantic Mapping
13:04 Phrase Extraction
19:11 Word Embeddings and Word2Vec
20:49 Ontology Augmented Vector-space
21:11 Synsets built from Vector Cosine Similarity
23:40 Human readable Fingerprints
25:23 UNSILO Discovery Widgets
29:23 Easier Content Exploration
31:18 Future Directions

Download slides and read the full abstract here:
https://gotocon.com/cph-2016/presentations/show_talk.jsp?oid=7747

RECOMMENDED BOOKS
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow • https://amzn.to/2XZaQy8

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