A Tutorial on Keyphrasification
This is the official repository of “From Fundamentals to Recent Advances: A Tutorial on Keyphrasification”, a half-day tutorial at the 44th European Conference on Information Retrieval (ECIR 2022). All materials for the tutorial are available here.
About
Keyphrases represent the most important information of text as a list of phrases, which often serves as a surrogate for efficiently summarizing text documents. With the advancement of deep neural networks, recent years have witnessed rapid development in automatic identification of keyphrases. The performance of keyphrase extraction methods has been greatly improved by the progresses made in natural language understanding, and natural language generation techniques enabling models to predict relevant phrases not mentioned in the text. We name the task of summarizing texts with phrases keyphrasification.
In this half-day tutorial, we provide a comprehensive overview of keyphrasification as well as hands-on practice with popular models and tools. This tutorial covers important topics ranging from basics of the task to the advanced topics and applications. By the end of the tutorial, participants will have better understanding of 1) classical and state-of-the-art keyphrasification methods, 2) current evaluation practices and their issues, and 3) current trends and future directions in keyphrasification research.
Presenters
Outline of the tutorial
Video recordings of the tutorial are available on a dedicated youtube channel.
Part 1 - Introduction and Classic Methods
- Introduction to keyphrasification [slides] [video]
- Datasets and evaluations [slides] [video]
- Traditional methods for keyphrase extraction [slides] [video]
- Hands-on session with pke [notebooks]
Part 2 - Modern Neural Methods
- Deep Learning Methods for Keyphrase Extraction [slides] [video]
- Deep Learning Methods for Keyphrase Generation [slides] [video]
- Hands-on session with dlkp [slides] [video]
Part 3 - Advanced Topics
- Keyphrase Generation for information retrieval [slides] [video]
- Domain Adaptation for Keyphrase Generation [slides] [video]
- Learning Better Keyphrase Representations [slides] [video]