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A Hierarchical Clustering Approach for DBpedia based Contextual Information of Tweets

Venkatesha Maravanthe, Prasanth Ganesh Rao, Anita Kanavalli, Deepa Shenoy Punjalkatte, Venugopal Kuppanna Rajuk
2020 Journal of Computer Science  
The constant stream of tweets with an innate complex sentimental and contextual nature makes searching for relevant information a herculean task.  ...  Further, our work presents a hierarchical clustering approach to find hidden patterns by using generated primary and extended contexts.  ...  DBpedia b knowledge-base is a crowd-sourced project developed by extracting contextual data from Wikipedia.  ... 
doi:10.3844/jcssp.2020.330.343 fatcat:2uigdscbm5bddhuesb4vbbhb7e

NEED4Tweet: A Twitterbot for Tweets Named Entity Extraction and Disambiguation

Mena Habib, Maurice van Keulen
2015 Proceedings of ACL-IJCNLP 2015 System Demonstrations  
The straightforward application of state-of-the-art extraction and disambiguation approaches on informal text widely used in Tweets, typically results in significantly degraded performance due to the lack  ...  We rely on contextual and semantic features more than syntactic features which are less informative. We believe that disambiguation can help to improve the extraction process.  ...  The system is based on our previous work (Habib and van Keulen, 2015) . We use a generic open world approach for NED in Tweets for any named entity even though it has no Wikipedia article.  ... 
doi:10.3115/v1/p15-4006 dblp:conf/acl/HabibK15 fatcat:accj2ozmdbg23o2geplmzmqdtu

Report on INEX 2012

P. Bellot, M. Marx, A. Mishra, V. Moriceau, J. Mothe, M. Preminger, G. Ramírez, M. Sanderson, E. Sanjuan, F. Scholer, A. Schuh, T. Chappell (+12 others)
2012 SIGIR Forum  
This paper reports on the INEX'12 evaluation campaign, which consisted of a five tracks: Linked Data, Relevance Feedback, Snippet Retrieval, Social Book Search, and Tweet Contextualization.  ...  INEX investigates focused retrieval from structured documents by providing large test collections of structured documents, uniform evaluation measures, and a forum for organizations to compare their results  ...  on DBpedia and Wikipedia.  ... 
doi:10.1145/2422256.2422264 fatcat:eueapb4nanhcxbruxpppgb5pda

Named Entity Extraction and Linking Challenge: University of Twente at #Microposts2014

Mena B. Habib, Maurice van Keulen, Zhemin Zhu
2014 Workshop on Making Sense of Microposts  
In this paper we present a hybrid approach for Named Entity Extraction (NEE) and Linking (NEL) for tweets.  ...  Twitter is a potentially rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing (NLP) tasks.  ...  Here, we present a combined approach for NEE and NEL for tweets with an application on #Microposts 2014 challenge [1] .  ... 
dblp:conf/msm/HabibKZ14 fatcat:hme25ncb7fad7fidgxzve2crfm

EDIUM: Improving Entity Disambiguation via User Modeling [chapter]

Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma
2014 Lecture Notes in Computer Science  
We evaluated the system's entity linking capabilities on tweets from multiple users and showed that improvement can be achieved by combining the user models and the context based models.  ...  However, noise and lack of context in tweets makes disambiguation a difficult task.  ...  Our approach is different from these approaches as it tries to combine contextual models and user models by analyzing the user's tweeting behavior.  ... 
doi:10.1007/978-3-319-06028-6_35 fatcat:ta4nsar6wbak5lnmcmpcax73cq

Report on INEX 2013

P. Bellot, J. Mothe, M. Preminger, E. SanJuan, R. Schenkel, X. Tannier, M. Theobald, M. Trappett, A. Trotman, M. Sanderson, F. Scholer, A. Doucet (+8 others)
2013 SIGIR Forum  
Linked Data Track investigating retrieval over a strongly structured collection of documents based on DBpedia and Wikipedia.  ...  and Tweet Contextualization tracks).  ... 
doi:10.1145/2568388.2568393 fatcat:2igtwoe23fedloome5yrzms6fm

Entity Linking for the Semantic Annotation of Italian Tweets

Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo
2016 Italian Journal of Computational Linguistics  
A graph-based approach is implemented in Babelfy (Moro, Raganato, and Navigli 2014) .  ...  The knowledge base (Wikipedia/DBpedia) is exploited twice in order to 1) extract all the possible surface forms related to entities, and 2) retrieve glosses used during the disambiguation process.  ... 
doi:10.4000/ijcol.362 fatcat:nzd7vq75andyrnekuzuw6zsu5i

Implicit Entity Linking in Tweets [chapter]

Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit P. Sheth, Krishnaprasad Thirunarayan
2016 Lecture Notes in Computer Science  
This paper introduces the problem of implicit entity linking in tweets. We propose an approach that models the entities by exploiting their factual and contextual knowledge.  ...  Entity linking is one of the major tasks in natural language understanding from tweets and it associates entity mentions in text to corresponding entries in knowledge bases in order to provide unambiguous  ...  Acknowledgement We thank US National Science Foundation for supporting this research with grant CNS 1513721 'Context-Aware Harassment Detection on Social Media.'  ... 
doi:10.1007/978-3-319-34129-3_8 fatcat:tqgli7me5bfbzpep4637mprymi

Overview of INEX 2013 [chapter]

Patrice Bellot, Antoine Doucet, Shlomo Geva, Sairam Gurajada, Jaap Kamps, Gabriella Kazai, Marijn Koolen, Arunav Mishra, Véronique Moriceau, Josiane Mothe, Michael Preminger, Eric SanJuan (+5 others)
2013 Lecture Notes in Computer Science  
structured or semantic data (Linked Data track); and focused retrieval (Snippet Retrieval and Tweet Contextualization tracks).  ...  This paper reports on the INEX 2013 evaluation campaign, which consisted of four activities addressing three themes: searching professional and user generated data (Social Book Search track); searching  ...  Linked Data Track investigating retrieval over a strongly structured collection of documents based on DBpedia and Wikipedia.  ... 
doi:10.1007/978-3-642-40802-1_27 fatcat:poxx52dr3vgfpcndlticjsl3da

Simple Yet Effective Method for Entity Linking in Microblog-Genre Text [chapter]

Qingliang Miao, Huayu Lu, Shu Zhang, Yao Meng
2013 Communications in Computer and Information Science  
In this paper, we investigate how to link entities in microblog posts with knowledge base and adopt a cascade linking approach.  ...  Unlike news text, microblogs pose several new challenges, due to their short, noisy, contextualized and real-time nature.  ...  [4] mainly test the effects of two tweet context expansion methods, based on tweet authorship and topic-based clustering. 3 The Approach Preprocess In the preprocessing step, we first group each  ... 
doi:10.1007/978-3-642-41644-6_44 fatcat:3xf6git22rgvtf77qj3j7b6ovi

Statistical and Semantic Approaches for Tweet Contextualization

Meriem Amina Zingla, Latiri Chiraz, Yahya Slimani, Catherine Berrut
2015 Procedia Computer Science  
In this paper, we describe statistical and semantic approaches for the tweet contextualization task.  ...  While the statistical one is based on association rules mining, the semantic one uses Wikipedia as an external knowledge source.  ...  To address tweet contextualization in an efficient manner, we propose two approaches namely: A Statistical Approach based on Association Rules inter-Terms and inter-Syntagms (ARTS), and a Semantic Approach  ... 
doi:10.1016/j.procs.2015.08.171 fatcat:3kveavukxvebphlq5yrxumjw7q

Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series

Giuseppe Rizzo, Bianca Pereira, Andrea Varga, Marieke van Erp, Amparo Elizabeth Cano Basave, Andreas Hotho, Robert Jäschke, Kristina Lerman, Andreas Hotho, Robert Jäschke, Kristina Lerman
2017 Semantic Web Journal  
tweets, ensuring high quality labelled data that facilitates comparisons between different approaches.  ...  While a tweet is shallowly comparable to any other textual content, it hides a complex and challenging structure that requires domainspecific computational approaches for mining semantics from it.  ...  Acknowledgments This work was supported by the FREME project (GA no. 644771) and by the CLARIAH-CORE project financed by the Netherlands Organisation for Scientific Research (NWO).  ... 
doi:10.3233/sw-170276 fatcat:lr45tai2unbotp5nrag5z7pjxy

Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking

Ikuya Yamada, Hideaki Takeda, Yoshiyasu Takefuji
2015 Proceedings of the Workshop on Noisy User-generated Text  
Our method is based on supervised machine-learning and uses the highquality knowledge obtained from several open knowledge bases.  ...  to corresponding entries in knowledge bases such as Wikipedia.  ...  We showed that the data retrieved from open knowledge bases (i.e., Wikipedia, DBpedia, Freebase) can be naturally leveraged to enhance NER using entity linking.  ... 
doi:10.18653/v1/w15-4320 dblp:conf/aclnut/YamadaTT15 fatcat:a5ozemygqrhjfoyrd7eovmzhcu

Semantics-Enabled User Interest Detection from Twitter

Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri, Mohsen Kahani, Weichang Du
2015 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)  
Based on this, we extract active topics within a given time interval and determine a users inclination towards these active topics.  ...  However, in the bag of concepts approach, each topic of interest is represented as an individual concept that is already predefined in the knowledge base.  ...  They have shown that user profiles based on DBpedia resources are more accurate than the profiles based on DBpedia categories.  ... 
doi:10.1109/wi-iat.2015.182 dblp:conf/webi/ZarrinkalamFBKD15 fatcat:7wciktucmbaofjelzeeoogxmli

Crowdsourcing Named Entity Recognition and Entity Linking Corpora [chapter]

Kalina Bontcheva, Leon Derczynski, Ian Roberts
2017 Handbook of Linguistic Annotation  
The corpus consists of around 10,000 tweets and is still growing, as new social media content is added.  ...  We first define the methodological framework for crowdsourcing entity annotated corpora, which combines expert-based and paid-for crowdsourcing.  ...  other uComp project members for the feedback on the task and user interface designs.  ... 
doi:10.1007/978-94-024-0881-2_32 fatcat:vx5o76j4wzdl3hhotqtu4fncmu
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