Mineral exploration reports assist present day exploration by providing valuable
observations about the geological environments in which mineral deposits form. Querying …

With the advent of the Internet, large amount of digital text is generated everyday in the form
of news articles, research publications, blogs, question answering forums and social media …

We present a simple semi-supervised relation extraction system with large-scale word
clustering. We focus on systematically exploring the effectiveness of different cluster-based …

Abstract The task of Relation Extraction is one of the main challenges in Natural Language
Processing. We present a review of the state-of-the-art for Relation Extraction in free texts …

The task of mining large unstructured text archives, extracting useful patterns and then
organizing them into a knowledgebase has attained a great attention due to its vast array of …

We present a simple algorithm for clustering semantic patterns based on distributional
similarity and use cluster memberships to guide semi-supervised pattern discovery. We …

Relation extraction models based on deep learning have been attracting a lot of attention
recently. Little research is carried out to reduce their need of labeled training data. In this …

As an important source of inspiration, the great number of patent documents provides
designers with valuable knowledge of design rationale (DR), including issues, intent, pros …

Geological Knowledge Graph Construction from Mineral Exploration Text Page 1 Geological
Knowledge Graph Construction from Mineral Exploration Text Majigsuren Enkhsaikhan Master …

An important task in Information Extraction is Relation Extraction. Relation Extraction (RE) is
the task of detecting and characterizing the semantic relations between entities in the text …