Papers with Hawkes process

3 papers
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning (2021.naacl-main)

Copied to clipboard

Challenge: Recent studies indicate that individuals exhibiting suicidal ideation increasingly turn to social media rather than mental health practitioners.
Approach: They propose a framework leveraging a user’s emotional history and social information from a users neighborhood in a network to contextualize the interpretation of the latest tweet of a Twitter user.
Outcome: The proposed framework outperforms state-of-the-art methods on this task, showing the benefits of both socially and personally contextualized representations.
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process (2023.acl-long)

Copied to clipboard

Challenge: Existing estimators measure performance by user satisfaction but ignore satisfaction dynamics across turns.
Approach: They propose to use user satisfaction estimation to estimate performance of dialogue systems by using an estimator to simulate users.
Outcome: The proposed estimator outperforms existing estimators on four benchmark dialogue datasets.
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs (2022.emnlp-main)

Copied to clipboard

Challenge: Existing methods for entity prediction cannot predict when an event will occur . there are many facts not related to the query that can confuse the model .
Approach: They propose a temporal knowledge Graph reasoning model based on Graph Hawkes Transformer . the model captures instantaneous structural and temporal evolution information .
Outcome: The proposed model performs much better under long-term evolution scenarios.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations