Kalina Bontcheva
Publications
265
h-index
47
Citations
10,095
Highly Influential Citations
787
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A framework and graphical development environment for robust NLP tools and applications
H. Cunningham, D. Maynard, Kalina Bontcheva, V. Tablan
Computer Science
ACL

2002
1,757 Citations
172
PDF
Text Processing with GATE
H. Cunningham, D. Maynard, Kalina Bontcheva
Computer Science
15 April 2011
TLDR
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
296 Citations
39
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva
Computer Science
EMNLP

17 June 2016
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
201 Citations
38
PDF
GATE: an Architecture for Development of Robust HLT applications
H. Cunningham, D. Maynard, Kalina Bontcheva, V. Tablan
Computer Science
ACL

6 July 2002
TLDR
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
403 Citations
35
PDF
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata, R. Procter, Geraldine Wong Sak Hoi, A. Zubiaga
Computer Science
SemEval@ACL

20 April 2017
TLDR
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
203 Citations
33
PDF
Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics
H. Cunningham, V. Tablan, A. Roberts, Kalina Bontcheva
Computer Science, MedicinePLoS Comput. Biol.
1 February 2013
TLDR
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
296 Citations
32
PDF
TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text
Kalina Bontcheva, Leon Derczynski, A. Funk, M. Greenwood, D. Maynard, N. Aswani
Computer Science
RANLP

1 September 2013
TLDR
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
199 Citations
27
PDF
Detection and Resolution of Rumours in Social Media
A. Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, R. Procter
Computer ScienceACM Comput. Surv.
3 April 2017
TLDR
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
275 Citations
26
PDF
Analysis of named entity recognition and linking for tweets
Leon Derczynski, D. Maynard, +5 authors Kalina Bontcheva
Computer ScienceInf. Process. Manag.
27 October 2014
TLDR
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
286 Citations
23
PDF
Evolving GATE to meet new challenges in language engineering
Kalina Bontcheva, V. Tablan, D. Maynard, H. Cunningham
Computer ScienceNatural Language Engineering
1 September 2004
TLDR
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
232 Citations
20
PDF
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