Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

The research focus of computational coreference resolution has exhibited a shift from
heuristic approaches to machine learning approaches in the past decade. This paper …

Language is increasingly being used to define rich visual recognition problems with
supporting image collections sourced from the web. Structured prediction models are used …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

This book offers a highly accessible introduction to natural language processing, the field
that supports a variety of language technologies, from predictive text and email filtering to …

Routledge Applied Linguistics is a series of comprehensive textbooks, providing students
and researchers with the support they need for advanced study in the core areas of English …

A cognitive linguistics view of terminology and specialized language A Cognitive Linguistics
View of Terminology and Specialized Language Page 2 Applications of Cognitive …

Often, in the real world, entities have two or more representations in databases. Duplicate
records do not share a common key and/or they contain errors that make duplicate matching …

This is the first full study of how people refer to entities in natural discourse. It contributes to
the understanding of both linguistic diversity and the cognitive underpinnings of language …

This article provides a comprehensive overview of the broad area of semantic search on text
and knowledge bases. In a nutshell, semantic search is “search with meaning”. This …