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Multilingual Story Link Detection Based on Event Term Weighting on Times and Multilingual Spaces
[chapter]
2004
Lecture Notes in Computer Science
Preserved Fulltext
Our approach uses features such as timelines and multilingual spaces for giving distinctive weights to terms that constitute linguistic representation of events. ...
In this paper, we propose a novel approach for multilingual story link detection. ...
For multilingual story link detection, a machine translation system is used to make multilingual spaces to one language space. Terms are weighted based on event term properties. ...
doi:10.1007/978-3-540-30544-6_43
fatcat:cmcqy5apjfheraidq2vzbrbqo4
VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection
[chapter]
2019
Lecture Notes in Computer Science
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We present an online multilingual system for event detection and comprehension from media feeds. ...
At the same time, this external knowledge graph can also be extended with a Dynamic Entity Linking (DEL) module, which detects emerging entities (EE) on unstructured data. ...
The extraction of mentions and its linkage to entities from an external multilingual KG generates an event linked space. ...
doi:10.1007/978-3-030-30796-7_24
fatcat:ugmc2kek4zfmrio4zgtnmbgf4a
An introduction to the Europe Media Monitor family of applications
[article]
2013
arXiv
pre-print
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Most large organizations have dedicated departments that monitor the media to keep up-to-date with relevant developments and to keep an eye on how they are represented in the news. ...
We discuss design issues necessary to be able to achieve this high multilinguality, as well as the benefits of this multilinguality. ...
EMM applications produce daily and long-term social networks of different types ( [17] , [22] ), based on weighted co-occurrence, based on labeled relations, and based on who mentions whom in reported ...
arXiv:1309.5290v1
fatcat:wpcgvkswkne7vbknmm23yhj3w4
Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications
2015
Information Processing & Management
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space of latent cross-lingual topics, that is, how to effectively employ learned per-topic word distributions and per-document topic distributions of any multilingual probabilistic topic model in various ...
We provide clear directions for future research in the field by providing a systematic overview of how to link and transfer aspect knowledge across corpora written in different languages via the shared ...
financed by the EU Sixth Framework Programme ICT, AMASS++ (SBO-060051) financed by Instituut voor de Aanmoediging van Innovatie door Wetenschap en Technologie in Vlaanderen (IWT), WebInsight (BIL/08/08), and ...
doi:10.1016/j.ipm.2014.08.003
fatcat:vpa5wdjc5ja5lchaoocctciqui
CIMWOS: A MULTIMEDIA, MULTIMODAL AND MULTILINGUAL INDEXING AND RETRIEVAL SYSTEM
2003
Digital Media Processing for Multimedia Interactive Services
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Text processing tools operate on the text stream produced by the speech recogniser and perform named entity detection, term recognition, topic detection, and story segmentation. ...
The retrieval engine is based on a weighted boolean model with intelligent indexing components. ...
Story Detection and Topic Classification (SD/TC) Story detection (SD) and topic classification (TC) use a set of models trained on an annotated corpus of stories and their associated topics. ...
doi:10.1142/9789812704337_0102
fatcat:vjhi65k6x5d43drbjokwqze7r4
News Across Languages - Cross-Lingual Document Similarity and Event Tracking
[article]
2015
arXiv
pre-print
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Taking a multilingual stream and clusters of articles from each language, we compare different cross-lingual document similarity measures based on Wikipedia. ...
Significant events are reported by different sources and in different languages. In this work, we address the problem of tracking of events in a large multilingual stream. ...
We do not address the problem of detection of events and instead base our evaluation on an online system for detection of world events, Event Registry. ...
arXiv:1512.07046v1
fatcat:5vbwcxioxbdqdbr6rbsf5dyeri
A Latent Semantic Indexing-based approach to multilingual document clustering
2008
Decision Support Systems
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The empirical evaluation results show that the proposed LSI-based MLDC technique achieves satisfactory clustering effectiveness, measured by both cluster recall and cluster precision, and is capable of ...
Motivated by the significance of this demand, this study designs a Latent Semantic Indexing (LSI)-based MLDC technique capable of generating knowledge maps (i.e., document clusters) from multilingual documents ...
i, and x ji is the weight of term j in document i). ...
doi:10.1016/j.dss.2007.07.008
fatcat:dqy7qazebvb4bfw5hajlgmtmoe
Applying Dynamic Co-occurrence in Story Link Detection
2009
Journal of Computing and Information Technology
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Experimental results show that the story link detection systems based on the dynamic co-occurrence perform very well, which testifies the great capabilities of the dynamic co-occurrence. ...
are about the same event, or linked. ...
Story link detection is thought of as the basis for other event-based topic analysis tasks, such as topic tracking, topic detection, and first story detection [1] . ...
doi:10.2498/cit.1001104
fatcat:lytexmcaxbcfbmksrdf5brejwa
Using contextual analysis for news event detection
2001
International Journal of Intelligent Systems
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We propose a new approach to performing event detection from multilingual newswire stories. ...
Concept terms of a story are derived from statistical context analysis between sentences in the news story and stories in the concept database. ...
Our corpus consists of English and Chinese news. One issue for event detection is to deal with multilingual news content. ...
doi:10.1002/int.1022
fatcat:3rsspnjgp5a2rkww5slqes6j24
Navigating Multilingual News Collections Using Automatically Extracted Information
2005
Journal of Computing and Information Technology
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The fully functional prototype system allows users to explore and navigate multilingual document collections across languages and time. ...
found, links clusters and entities, and generates hyperlinks. ...
We furthermore thank the many persons who have contributed over time to develop the existing text analysis tool set and to adapt it to so many languages. ...
doi:10.2498/cit.2005.04.01
fatcat:z3tjpgtdzfa77auf6etjpxva7a
Mastering the Media Hype: Methods for Deduplication of Conflict Events from News Reports
2020
International Joint Conference on Artificial Intelligence
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The first approach (Cluster Linking) consists of linking news article clusters across time, prior to event extraction, while the second one (Event Linking) is based on classification and aggregation of ...
Machine coding of conflict event datasets has recently emerged as a time-effective method which can back up predictive models for conflict escalation at national and sub-national level. ...
The first approach is based on linking clusters of news items, while the second one is based on classification and aggregation of related events. ...
dblp:conf/ijcai/ZavarellaPITA20
fatcat:lkcqbefup5hnvckmux2raahn5e
Overviewing Important Aspects of the Last Twenty Years of Research in Comparable Corpora
[chapter]
2013
Building and Using Comparable Corpora
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It computes node-similarities between two graphs and allows for weighted graph edges. Garera et al. [36] use a vector space model but consider dependency links rather than word co-occurrences. ...
In contrast to the dominating vector space approaches based on wordco-occurrence data, Michelbacher et al. ...
doi:10.1007/978-3-642-20128-8_1
fatcat:votpvm7donegrao4apmexvjbra
Story Link Detection Based on Event Words
[chapter]
2011
Lecture Notes in Computer Science
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In this paper, we propose an event words based method for story link detection. ...
Different from previous studies, we use time and places to label nouns and named entities, the featured nouns/named entities are called event words. ...
Acknowledgement The research is supported by the National Science Foundation of China under Grant No.60873134, Threads and topics detection for news events. ...
doi:10.1007/978-3-642-19437-5_16
fatcat:xizelyhnczgxfmfw72qs6fiui4
Multilingual Clustering of Streaming News
2018
Zenodo
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To this end, we describe a novel method for clustering an incoming stream of multilingual documents into monolingual and crosslingual story clusters. ...
Our method is simple to implement, computationally efficient and produces state-of-the-art results on datasets in German, English and Spanish. ...
Acknowledgments We would like to thank Esma Balkır, Nikos Papasarantopoulos, Afonso Mendes, Shashi Narayan and the anonymous reviewers for their feedback. ...
doi:10.5281/zenodo.2359130
fatcat:755hbpgtmjdaddl2pkwl6x6hsq
Multilingual Clustering of Streaming News
[article]
2018
arXiv
pre-print
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To this end, we describe a novel method for clustering an incoming stream of multilingual documents into monolingual and crosslingual story clusters. ...
Our method is simple to implement, computationally efficient and produces state-of-the-art results on datasets in German, English and Spanish. ...
Acknowledgments We would like to thank Esma Balkır, Nikos Papasarantopoulos, Afonso Mendes, Shashi Narayan and the anonymous reviewers for their feedback. ...
arXiv:1809.00540v1
fatcat:rpp3zrwkzzcc3iqpzjbprq75e4
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