Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has
long been a research topic among various communities. The most challenging problem in …

Graphs are a powerful representation formalism that can be applied to a variety of aspects
related to language processing. We provide an overview of how Natural Language …

The problem of measuring the semantic similarity between pairs of words has been
considered a fundamental operation in data mining and information retrieval. Nevertheless …

The unstructured document like resume will have different file formats (pdf, txt, doc, etc.), and
also, there is a lot of ambiguity and variability in the language used in the resume. Such …

We present a novel framework for the discovery and representation of general semantic
relationships that hold between lexical items. We propose that each such relationship can …

We propose an explainable approach for relation extraction that mitigates the tension
between generalization and explainability by jointly training for the two goals. Our approach …

Relation extraction is a very useful task for several natural language processing
applications, such as automatic summarization and question answering. In this paper, we …

Abstract The Aviation Safety Reporting System collects voluntarily submitted reports on
aviation safety incidents to facilitate research work aiming to reduce such incidents. To …

Abstract Information extraction from unstructured, ungrammatical data such as classified
listings is difficult because traditional structural and grammatical extraction methods do not …

Information Extraction has recently been extended to new areas by loosening the constraints
on the strict definition of the extracted information and allowing to design more open …