Главная
Study mode:
on
1
Semantic Scholar
2
About Semantic Scholar
3
Longform Language Model
4
Language Models
5
Data Resources
6
White House Contact
7
Research Journey
8
Adaptive Research Feed
9
Research Dashboard
10
Building a recommendation system
11
Recommendation based on content
12
Training data
13
Citation graphs
14
Inference
15
Visualization
16
Personalized Alerts
17
Clickthrough Rate
18
Finding Papers
19
Semantic Scholar Features
20
Extreme Summary
21
TLRs
22
How good
23
How informative
24
Information Nuggets
25
Accuracy
26
Initial studies
27
ScholarPHI system
28
Demo
29
User Study
30
Semantic Reader
31
Foresight
32
Summary
33
Supported Decoding
34
Restricted Decoding
35
Roberta
36
Recap
37
Thanks
38
Interview
Description:
Explore the cutting-edge developments in natural language processing and its application to scientific research acceleration in this 44-minute conference talk by Daniel Weld at KDD. Dive into the world of Semantic Scholar, a powerful AI-driven platform revolutionizing academic literature search and discovery. Learn about longform language models, adaptive research feeds, and personalized recommendation systems. Discover innovative features like extreme summaries, information nuggets, and the ScholarPHI system. Gain insights into the research journey behind these advancements, including user studies and the development of the Semantic Reader. Understand how these tools are enhancing the efficiency and effectiveness of scientific research, and get a glimpse of future possibilities in AI-assisted academic exploration.

Semantic Scholar- Tera-Scale NLP to Accelerate Scientific Research--Daniel Weld

Association for Computing Machinery (ACM)
Add to list
0:00 / 0:00