Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw

Professor Christopher Manning, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:23 Announcements
2:00 What is Coreference Resolution?
12:04 Applications
16:40 Coreference Resolution in Two Steps
19:39 Mention Detection: Not so Simple
22:19 Can we avoid a pipelined system?
23:39 4. On to Coreference! First, some linguistics
26:11 Anaphora vs Coreference
27:59 Anaphora vs. Coreference
29:24 Anaphora vs. Cataphora
32:33 Four kinds of Coreference Models
34:43 Hobbs Algorithm Example
40:07 Knowledge-based Pronominal Coreference
45:01 Hobbs' algorithm: commentary
46:06 Coreference Models: Mention Pair
47:33 Mention Pair Training
48:05 Mention Pair Test Time
52:01 7. Coreference Models: Mention Ranking
54:57 Coreference Models: Training
56:05 Mention Ranking Models: Test Time
56:49 A. Non-Neural Coref Model: Features