Emma Barker

According to our database1, Emma Barker authored at least 14 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Short digital-competence test based on DigComp2.1: Does digital competence support research competence in undergraduate students?
Educ. Inf. Technol., January, 2024

2022
SNuC: The Sheffield Numbers Spoken Language Corpus.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2019

2017
The SENSEI Overview of Newspaper Readers' Comments.
Proceedings of the Advances in Information Retrieval, 2017

2016
The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News.
Proceedings of the SIGDIAL 2016 Conference, 2016

What's the Issue Here?: Task-based Evaluation of Reader Comment Summarization Systems.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Automatic label generation for news comment clusters.
Proceedings of the INLG 2016, 2016

A Graph-Based Approach to Topic Clustering for Online Comments to News.
Proceedings of the Advances in Information Retrieval, 2016

Summarizing Multi-Party Argumentative Conversations in Reader Comment on News.
Proceedings of the Third Workshop on Argument Mining, 2016

2015
OnForumS: The Shared Task on Online Forum Summarisation at MultiLing'15.
Proceedings of the 7th Forum for Information Retrieval Evaluation, 2015

2014
Bootstrapping Term Extractors for Multiple Languages.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2012
Assessing the Comparability of News Texts.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

2008
FlickLing: a Multilingual Search Interface for Flickr.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

2006
Simulating Cub Reporter Dialogues: The collection of naturalistic human-human dialogues for information access to text archives.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006


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