Week 14: Reading Notes

Generalizing from Relevance Feedback using Named Entity Wildcards
Adaptive Filtering is online prediction of relevance documents task.

Related to question answering, information extraction, text categorization, and thesaurus-based query expansion.

Approach:
1. Other facts of the same type
2. Facts of other types

Nugget-level adaptive filtering has important implications on filtering task:
1. Given a nugget-level evaluation, the user is assumed to be looking for specific facts.
2. The system must determine the novelty of each candidate passage with respect to passages delivered to the user in the past.
3. Relevance feedback at the passage level might be too specific to learn.

Components of the system:
1. Adaptive Filering Component
2. Novelty Detection Component


Information Retrieval on the Semantic Web
Answering queries on the web
Event ontology
Information Exaction
Inference System and Information Retrieval System
Hybrid Information Retrieval