With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

Entity disambiguation is the task of mapping ambiguous terms in natural-language text to its
entities in a knowledge base. It finds its application in the extraction of structured data in …

Text analytics systems often rely heavily on detecting and linking entity mentions in
documents to knowledge bases for downstream applications such as sentiment analysis …

Entity Linking, the task of mapping ambiguous Named Entities to unique identifiers in a
knowledge base, is a cornerstone of multiple Information Retrieval and Text Analysis …

Abstract Systems and methods for extracting facts from natural language texts. An example
method of information extraction comprises extracting, from a natural language text, a first …

Disambiguating name mentions in texts is a crucial task in Natural Language Processing,
especially in entity linking. The credibility and efficiency of such systems depend largely on …

In recent years, Information Extraction (IE) has become an increasingly important field due to
the vast amount of data being produced at an ever-increasing rate. However, it was …

“Sense Disambiguation” is a simple task of assigning appropriate sense (meaning) for an
ambiguous word in a given context. Word sense disambiguation is very crucial, and it is …

Current state-of-the-art Language Models (LMs) are able to converse, summarize, translate,
solve novel problems, reason, and use abstract concepts at a near-human level. However …

Resolving named entities is important for a number of natural language processing
applications. However, a named entity has multiple name variations while different entities …