Mijail Kabadjov

Also published as: Mijail Alexandrov-Kabadjov, M. A. Kabadjov, Mijail A. Kabadjov


2016

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The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015
Mijail Kabadjov | Udo Kruschwitz | Massimo Poesio | Josef Steinberger | Jorge Valderrama | Hugo Zaragoza
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing’15). The corpus consists of a set of news articles with associated readers’ comments from The Guardian (English) and La Repubblica (Italian). It comes with four levels of annotation: argument structure, comment-article linking, sentiment and coreference. The former three were produced through crowdsourcing, whereas the latter, by an experienced annotator using a mature annotation scheme. Given its annotation breadth, we believe the corpus will prove a useful resource in stimulating and furthering research in the areas of Argumentation Mining, Summarisation, Sentiment, Coreference and the interlinks therein.

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Coreference Resolution for the Basque Language with BART
Ander Soraluze | Olatz Arregi | Xabier Arregi | Arantza Díaz de Ilarraza | Mijail Kabadjov | Massimo Poesio
Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2016)

2015

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MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations
George Giannakopoulos | Jeff Kubina | John Conroy | Josef Steinberger | Benoit Favre | Mijail Kabadjov | Udo Kruschwitz | Massimo Poesio
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2011

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JRC-NAMES: A Freely Available, Highly Multilingual Named Entity Resource
Ralf Steinberger | Bruno Pouliquen | Mijail Kabadjov | Jenya Belyaeva | Erik van der Goot
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Highly Multilingual Coreference Resolution Exploiting a Mature Entity Repository
Josef Steinberger | Jenya Belyaeva | Jonathan Crawley | Leonida Della-Rocca | Mohamed Ebrahim | Maud Ehrmann | Mijail Kabadjov | Ralf Steinberger | Erik van der Goot
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Multilingual Entity-Centered Sentiment Analysis Evaluated by Parallel Corpora
Josef Steinberger | Polina Lenkova | Mijail Kabadjov | Ralf Steinberger | Erik van der Goot
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

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Creating Sentiment Dictionaries via Triangulation
Josef Steinberger | Polina Lenkova | Mohamed Ebrahim | Maud Ehrmann | Ali Hurriyetoglu | Mijail Kabadjov | Ralf Steinberger | Hristo Tanev | Vanni Zavarella | Silvia Vázquez
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)

2010

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Agile Corpus Annotation in Practice: An Overview of Manual and Automatic Annotation of CVs
Bea Alex | Claire Grover | Rongzhou Shen | Mijail Kabadjov
Proceedings of the Fourth Linguistic Annotation Workshop

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Wrapping up a Summary: From Representation to Generation
Josef Steinberger | Marco Turchi | Mijail Kabadjov | Ralf Steinberger | Nello Cristianini
Proceedings of the ACL 2010 Conference Short Papers

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Sentiment Analysis in the News
Alexandra Balahur | Ralf Steinberger | Mijail Kabadjov | Vanni Zavarella | Erik van der Goot | Matina Halkia | Bruno Pouliquen | Jenya Belyaeva
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Recent years have brought a significant growth in the volume of research in sentiment analysis, mostly on highly subjective text types (movie or product reviews). The main difference these texts have with news articles is that their target is clearly defined and unique across the text. Following different annotation efforts and the analysis of the issues encountered, we realised that news opinion mining is different from that of other text types. We identified three subtasks that need to be addressed: definition of the target; separation of the good and bad news content from the good and bad sentiment expressed on the target; and analysis of clearly marked opinion that is expressed explicitly, not needing interpretation or the use of world knowledge. Furthermore, we distinguish three different possible views on newspaper articles ― author, reader and text, which have to be addressed differently at the time of analysing sentiment. Given these definitions, we present work on mining opinions about entities in English language news, in which we apply these concepts. Results showed that this idea is more appropriate in the context of news opinion mining and that the approaches taking this into consideration produce a better performance.

2009

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Summarizing Opinions in Blog Threads
Alexandra Balahur | Mijail Kabadjov | Josef Steinberger | Ralf Steinberger | Andrés Montoyo
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2

2006

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An Anaphora Resolution-Based Anonymization Module
M. Poesio | M. A. Kabadjov | P. Goux | U. Kruschwitz | E. Bishop | L. Corti
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Growing privacy and security concerns mean there is an increasing need for data to be anonymized before being publically released. We present a module for anonymizing references implemented as part of the SQUAD tools for specifying and testing non-proprietary means of storing and marking-up data using universal (XML) standards and technologies. The tool is implemented on top of the GUITAR anaphoric resolver.

2005

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Improving LSA-based Summarization with Anaphora Resolution
Josef Steinberger | Mijail Kabadjov | Massimo Poesio | Olivia Sanchez-Graillet
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

2004

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A General-Purpose, Off-the-shelf Anaphora Resolution Module: Implementation and Preliminary Evaluation
Massimo Poesio | Mijail A. Kabadjov
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Discourse-New Detectors for Definite Description Resolution: A Survey and a Preliminary Proposal
Massimo Poesio | Olga Uryupina | Renata Vieira | Mijail Alexandrov-Kabadjov | Rodrigo Goulart
Proceedings of the Conference on Reference Resolution and Its Applications