Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: bottom - up relational learning of pattern matching rules for information extraction .
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning for Information Extraction in Informal Domains
Understanding Neural Networks via Rule Extraction
Mining knowledge from text using information extraction
automatic information extraction from semi - structured web pages by pattern discovery .
A Domain-independent Rule-based Framework for Event Extraction
Towards a top-down and bottom-up bidirectional approach to joint information extraction
Constructing efficient information extraction pipelines
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues.
Domain-Targeted, High Precision Knowledge Extraction
Context-Sensitive Inference Rule Discovery: A Graph-Based Method
Feature Extraction - A Pattern for Information Retrieval
Open Language Learning for Information Extraction
Weakly-supervised relation classification for information extraction
Incremental Information Extraction Using Relational Databases
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
Text Mining with Information Extraction
Natural Language Processing for Information Extraction
Exploiting Syntactico-Semantic Structures for Relation Extraction
High-performance information extraction with AliBaba
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
Explanations as Mechanisms for Supporting Algorithmic Transparency
A noise-tolerant algorithm for robotic hand-eye calibration with or without sensor orientation measurement
Relational Learning Of Pattern-Match Rules For Information Extraction
Design of a 4-DOF Robot Manipulator with Optimized Algorithm for Inverse Kinematics