Research output per year
Research output per year
Project Details
Description
As a part of the September, 2020 Conference and Labs of the Evaluation Forum (CLEF 2020), we invite you to build a team, hone your data mining skills, and join us in the ChEMU lab which focuses on information extraction over chemical patents
Key findings
Task 1: Named Entity Recognition (NER) involves identifying chemical compounds as well as their types in context, i.e., to assign the label of a chemical compound according to the role which the compound plays within a chemical reaction.
Task 2: Event extraction (EE) involves event trigger detection and argument recognition.
Task 2: Event extraction (EE) involves event trigger detection and argument recognition.
| Status | Finished |
|---|---|
| Effective start/end date | 05/15/20 → 09/30/20 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Conference contribution
-
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Zhai, Z., Thorne, C., Akhondi, S., Verspoor, K., Nguyen, D. Q., Cohn, T. & Drukenbrodt, C., 2019, Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access
Press / Media
-
How data scientists are uncovering chemical compounds hidden in patents
Karin Verspoor, George Tsatsaronis, Saber Akhondi, Christian Drukenbrodt, Ralph Hoessel, Camilo Thorne, Trevor Cohn, Dat Quoc Nguyen, Zenan Zhai, Biaoyan Fang & Hiyori Yohsikawa
11/28/19
1 Media contribution
Press/Media
-
These Elsevier collaborations use machine learning to turn data into knowledge
Tim Menzies, Karin Verspoor, David Jones, Anne Gabriel, George Tsatsaronis & Lesley Thompson
12/1/17
1 Media contribution
Press/Media