Author pages are created from data sourced from our academic publisher partnerships and public sources.
We’re testing a new way to view lists of papers.
This book contains a highly accessible introduction to GATE Version 6 and is the first port of call for all GATE-related questions, and includes a guide to using GATE Developer and GATE Embedded, and chapters on all major areas of functionality, such as processing multiple languages and large collections of unstructured text.Expand
Stance detection is the task of classifying the attitude expressed in a text towards a target such as Hillary Clinton to be "positive", negative" or "neutral". Previous work has assumed that either… Expand
GATE is presented, a framework and graphical development environment which enables users to develop and deploy language engineering components and resources in a robust fashion and can be used to develop applications and Resources in multiple languages, based on its thorough Unicode support. Expand
An annotation scheme is presented, a large dataset covering multiple topics - each having their own families of claims and replies - and these are used to pose two concrete challenges as well as the results achieved by participants on these challenges. Expand
It is concluded that the deployment of text mining for document abstraction or rich search and navigation is best thought of as a process, and that with the right computational tools and data collection strategies this process can be made defined and repeatable. Expand
This paper introduces each stage of the TwitIE pipeline, which is a modification of the GATE ANNIE open-source pipeline for news text, and an evaluation against some state-of-the-art systems is presented. Expand
This article introduces and discusses two types of rumours that circulate on social media: long-standing rumours that circulating for long periods of time, and newly emerging rumours spawned during fast-paced events such as breaking news, where reports are released piecemeal and often with an unverified status in their early stages.Expand
This work describes a new Twitter entity disambiguation dataset, and conducts an empirical analysis of named entity recognition and disambigsuation, investigating how robust a number of state-of-the-art systems are on such noisy texts, what the main sources of error are, and which problems should be further investigated to improve the state of the art. Expand
The focus of this paper is on recent developments in response to new challenges in Language Engineering: Semantic Web, integration with Information Retrieval and data mining, and the need for machine learning support. Expand
Stay Connected With Semantic Scholar
What Is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.