Exploring Neural Coreference Resolution Models
Let's dive into the details surrounding Neural Coreference Resolution Models.
- Data is everywhere. In order to use this data, it is necessary for it to be represented in a meaningful way. Knowledge graphs offer ...
- In everyday conversation, we use pronouns or other expressions to refer to entities in many different ways, but we effortlessly ...
- slides: http://speech.ee.ntu.edu.tw/~tlkagk/courses/DLHLP20/Coref%20(v2).pdf.
- This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...
- Our main goal is to accomplish a shared task in SemEval 2018 - Task 4: Character Identification on Multiparty Dialogues.
In-Depth Information on Neural Coreference Resolution Models
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/ Slides: ... For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3EwAMAO ... For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw ... Also includes research highlight "Summarizing Source Code", an introduction to
Timestamp: 00:00 Introduction 00:34 What is
That wraps up our extensive overview of Neural Coreference Resolution Models.