F. Abel, C. Hauff, G. Houben, R. Stronkman, and K. Tao, Twitcident, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pp.305-308, 2012.
DOI : 10.1145/2187980.2188035

E. Alfonseca and S. Manandhar, An unsupervised method for general named entity recognition and automated concept discovery

J. Allan, J. G. Carbonell, G. Doddington, J. Yamron, and Y. Yang, Topic detection and tracking pilot study final report, 1998.

O. Alonso and K. Shiells, Timelines as summaries of popular scheduled events, Proceedings of the 22nd International Conference on World Wide Web, WWW '13 Companion, pp.1037-1044, 2013.
DOI : 10.1145/2063576.2063755

URL : http://www2013.org/companion/p1037.pdf

P. Anantharam, P. Barnaghi, K. Thirunarayan, and A. Sheth, Extracting City Traffic Events from Social Streams, ACM Transactions on Intelligent Systems and Technology, vol.6, issue.4, 2014.
DOI : 10.1007/978-3-642-29047-3_28

R. Andersen, F. Chung, and K. Lang, Local Graph Partitioning using PageRank Vectors, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06), pp.475-486, 2006.
DOI : 10.1109/FOCS.2006.44

M. Arias, A. Arratia, and R. Xuriguera, Forecasting with twitter data, ACM Transactions on Intelligent Systems and Technology, vol.5, issue.1, 2013.
DOI : 10.1145/2542182.2542190

M. Asahara and Y. Matsumoto, Japanese Named Entity extraction with redundant morphological analysis, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.8-15, 2003.
DOI : 10.3115/1073445.1073447

F. Atefeh and W. Khreich, A Survey of Techniques for Event Detection in Twitter, Computational Intelligence, vol.14, issue.4, pp.132-164, 2015.
DOI : 10.1109/5254.784083

S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak et al., Dbpedia: A nucleus for a web of open data. The semantic web, pp.722-735, 2007.

M. Bansal, K. Gimpel, and K. Livescu, Tailoring Continuous Word Representations for Dependency Parsing, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.809-815, 2014.
DOI : 10.3115/v1/P14-2131

H. Becker, M. Naaman, and L. Gravano, Beyond trending topics: Realworld event identification on twitter, ICWSM, vol.11, pp.438-441, 2011.

Y. Bengio, R. Ducharme, P. Vincent, and C. Jauvin, Neural Probabilistic Language Models, Journal of machine learning research, vol.3, issue.Feb, pp.1137-1155, 2003.
DOI : 10.1007/3-540-33486-6_6

URL : https://hal.archives-ouvertes.fr/hal-01434258

T. Berners-lee, Linked data-design issues, 2006.

E. Bick, A named entity recognizer for danish, Lrec, 2004.

D. M. Bikel, S. Miller, R. Schwartz, and R. Weischedel, Nymble, Proceedings of the fifth conference on Applied natural language processing -, pp.194-201, 1997.
DOI : 10.3115/974557.974586

A. Bordes, N. Usunier, S. Chopra, and J. Weston, Large-scale simple question answering with memory networks. arXiv preprint, 2015.

A. Borthwick, J. Sterling, E. Agichtein, and R. Grishman, Nyu: Description of the mene named entity system as used in muc-7, In proceedings of the seventh message understanding conference, p.7, 1998.

D. Boyd, S. Golder, and G. Lotan, Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter, 2010 43rd Hawaii International Conference on System Sciences, pp.1-10, 2010.
DOI : 10.1109/HICSS.2010.412

D. Brickley and L. Miller, Foaf vocabulary specification 0.91, 2007.

S. Brin and L. Page, The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, pp.107-117, 1998.

V. Bryl, S. Tonelli, C. Giuliano, and L. Serafini, A Novel Framenetbased Resource for the Semantic Web, Proceedings of the 27th annual acm symposium on applied computing, pp.360-365, 2012.

M. J. Brzozowski and D. M. Romero, Who should i follow? recommending people in directed social networks, Icwsm, 2011.

I. Budi and S. Bressan, Association rules mining for name entity recognition, Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials (Cat. No.03CH37417), pp.325-328, 2003.
DOI : 10.1109/WISE.2003.1254504

A. E. Cano, A. Varga, M. Rowe, F. Ciravegna, and Y. He, Harnessing linked knowledge sources for topic classification in social media, Proceedings of the 24th ACM Conference on Hypertext and Social Media, HT '13, pp.41-50, 2013.
DOI : 10.1145/2481492.2481497

D. Chakrabarti and K. Punera, Event summarization using tweets, ICWSM, vol.11, pp.66-73, 2011.

A. X. Chang and C. D. Manning, Sutime: A library for recognizing and normalizing time expressions, Lrec, pp.3735-3740, 2012.

L. Chiticariu, R. Krishnamurthy, Y. Li, F. Reiss, and S. Vaithyanathan, Domain adaptation of rule-based annotators for named-entity recognition tasks, Proceedings of the 2010 conference on empirical methods in natural language processing, pp.1002-1012, 2010.

S. Coates-stephens, The Analysis and Acquisition of Proper Names for the Understanding of Free Text, Computers and the Humanities, vol.4, issue.5-6, pp.441-456, 1992.
DOI : 10.1007/BF00136985

R. Collobert and J. Weston, A unified architecture for natural language processing, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.160-167, 2008.
DOI : 10.1145/1390156.1390177

I. P. Council, SportsML: A solution for sharing sports data, 2017.

H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan, GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications, Proceedings of the 40th anniversary meeting of the association for computational linguistics, 2002.

J. R. Curran and S. Clark, Language independent NER using a maximum entropy tagger, Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -, pp.164-167, 2003.
DOI : 10.3115/1119176.1119200

URL : http://acl.ldc.upenn.edu/W/W03/W03-0424.pdf

L. Derczynski, D. Maynard, G. Rizzo, M. Van-erp, G. Gorrell et al., Analysis of named entity recognition and linking for tweets, Information Processing & Management, vol.51, issue.2, pp.51-83, 2015.
DOI : 10.1016/j.ipm.2014.10.006

L. Derczynski, A. Ritter, S. Clark, and K. Bontcheva, Twitter part-ofspeech tagging for all: Overcoming sparse and noisy data, Proceedings of the international conference on recent advances in natural language processing, 2013.

W. Dou, K. Wang, W. Ribarsky, and M. Zhou, Event detection in social media data, Ieee visweek workshop on interactive visual text analyticstask driven analytics of social media content, pp.971-980, 2012.

A. Edouard, Using Named Entities to Discover Heterogeneous Events on Twitter. Retrieved from https, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01354088

A. Edouard, E. Cabrio, S. Tonelli, and L. T. Nhan, Building timelines of soccer matches from twitter, to appear in proceedings of ranlp 2017 recent advances in natural language processing conference, 2017.
DOI : 10.26615/978-954-452-049-6_029

A. Edouard, E. Cabrio, S. Tonelli, and L. T. Nhan, Graph-based event extraction from twitter, to appear in proceedings of ranlp 2017 -recent advances in natural language processing conference, 2017.
DOI : 10.26615/978-954-452-049-6_031

URL : https://hal.archives-ouvertes.fr/hal-01561439

A. Edouard, E. Cabrio, S. Tonelli, and L. T. Nhan, Semantic linking for event-based classification of tweets, Proceedings of the 18th international conference on computational linguistics and intelligent text processing (cicling), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01529729

A. Edouard, E. Cabrio, S. Tonelli, and L. T. Nhan, You'll never tweet alone -building sports match timelines from microblog posts, to appear in proceedings of ranlp 2017 -recent advances in natural language processing conference, 2017.
DOI : 10.26615/978-954-452-049-6_030

URL : https://hal.archives-ouvertes.fr/hal-01561441

S. Even, Graph algorithms, 2011.
DOI : 10.1017/CBO9781139015165

C. Fellbaum, WordNet. an electronic lexical database, 1998.
URL : https://hal.archives-ouvertes.fr/halshs-00751113

J. R. Finkel, T. Grenager, and C. Manning, Incorporating non-local information into information extraction systems by Gibbs sampling, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.363-370, 2005.
DOI : 10.3115/1219840.1219885

G. Forgues, J. Pineau, J. Larchevêque, and R. Tremblay, Bootstrapping dialog systems with word embeddings, Nips, modern machine learning and natural language processing workshop, 2014.

G. Forman, Feature selection for text classification. Computational methods of feature selection, 2007.
DOI : 10.1201/9781584888796.pt4

J. Friedman, T. Hastie, and R. Tibshirani, The elements of statistical learning, 2001.

F. Gandon, O. Corby, and C. Faron-zucker, Le web sémantique: Comment lier les données et les schémas sur le web?, 2012.

Y. Genc, Y. Sakamoto, and J. V. Nickerson, Discovering Context: Classifying Tweets through a Semantic Transform Based on Wikipedia, International conference on foundations of augmented cognition, pp.484-492, 2011.
DOI : 10.1073/pnas.0307752101

C. Gibbs and R. Haynes, A Phenomenological Investigation into How Twitter Has Changed the Nature of Sport Media Relations, International Journal of Sport Communication, vol.6, issue.4, pp.394-408, 2013.
DOI : 10.1123/ijsc.6.4.394

K. Gimpel, N. Schneider, B. O-'connor, D. Das, D. Mills et al., Part-of-speech tagging for twitter: Annotation, features, and experiments, Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies: short papers-volume, pp.42-47, 2011.
DOI : 10.21236/ADA547371

T. R. Gruber, A translation approach to portable ontology specifications. Knowledge acquisition, pp.199-220, 1993.
DOI : 10.1006/knac.1993.1008

URL : http://tomgruber.org/writing/ontolingua-kaj-1993.pdf

A. Hallili, Toward an ontology-based chatbot endowed with natural language processing and generation, 26th european summer school in logic, language & information, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01089102

B. Han and T. Baldwin, Lexical normalisation of short text messages: Makn sens a# twitter, Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies-volume, pp.368-378, 2011.

B. Han, A. J. Yepes, A. Mackinlay, and Q. Chen, Identifying twitter location mentions, Australasian language technology association workshop 2014, p.157, 2014.

J. Hannon, K. Mccarthy, J. Lynch, and B. Smyth, Personalized and automatic social summarization of events in video, Proceedings of the 15th international conference on Intelligent user interfaces, IUI '11, pp.335-338, 2011.
DOI : 10.1145/1943403.1943459

A. Hermida, From tv to twitter: How ambient news became ambient journalism, 2010.

S. Hochreiter and J. Schmidhuber, Long Short-Term Memory, Neural Computation, vol.4, issue.8, pp.1735-1780, 1997.
DOI : 10.1016/0893-6080(88)90007-X

A. J. Hoffman, A generalization of max flow???min cut, System sciences hicss'09. 42nd hawaii international conference on, pp.352-359, 1974.
DOI : 10.1007/BF01580250

E. Ilina, C. Hauff, I. Celik, F. Abel, and G. Houben, Social Event Detection on Twitter, Web engineering, pp.169-176, 2012.
DOI : 10.1007/978-3-642-31753-8_12

S. Jai-andaloussi, I. Mourabit, N. Madrane, S. B. Chaouni, and A. Sekkaki, Soccer Events Summarization by Using Sentiment Analysis, 2015 International Conference on Computational Science and Computational Intelligence (CSCI), pp.398-403, 2015.
DOI : 10.1109/CSCI.2015.59

A. Java, X. Song, T. Finin, and B. Tseng, Why we twitter, Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis , WebKDD/SNA-KDD '07, pp.56-65, 2007.
DOI : 10.1145/1348549.1348556

P. Jin, Y. Zhang, X. Chen, and Y. Xia, Bag-of-embeddings for text classification, International joint conference on artificial intelligence, pp.2824-2830, 2016.

S. Katragadda, R. Benton, and V. Raghavan, Framework for Real-Time Event Detection using Multiple Social Media Sources, Proceedings of the 50th Hawaii International Conference on System Sciences (2017), 2017.
DOI : 10.24251/HICSS.2017.208

URL : http://scholarspace.manoa.hawaii.edu/bitstream/10125/41362/1/paper0213.pdf

S. Katragadda, S. Virani, R. Benton, and V. Raghavan, Detection of event onset using Twitter, 2016 International Joint Conference on Neural Networks (IJCNN), pp.1539-1546, 2016.
DOI : 10.1109/IJCNN.2016.7727381

Y. Kim, Convolutional neural networks for sentence classification. arXiv preprint, 2014.
DOI : 10.3115/v1/d14-1181

URL : http://arxiv.org/pdf/1408.5882

S. Kinsella, A. Passant, and J. G. Breslin, Using hyperlinks to enrich message board content with linked data, Proceedings of the 6th International Conference on Semantic Systems, I-SEMANTICS '10, 2010.
DOI : 10.1145/1839707.1839709

E. Kreyszig, Advanced engineering mathematics, 2007.

M. Kubo, R. Sasano, H. Takamura, and M. Okumura, Generating Live Sports Updates from Twitter by Finding Good Reporters, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), pp.527-534, 2013.
DOI : 10.1109/WI-IAT.2013.74

H. Kwak, C. Lee, H. Park, and S. Moon, What is Twitter, a social network or a news media?, Proceedings of the 19th international conference on World wide web, WWW '10, pp.591-600, 2010.
DOI : 10.1145/1772690.1772751

URL : http://an.kaist.ac.kr/~sbmoon/paper/intl-conf/2010-www-twitter.pdf

P. Laublet, C. Reynaud, and J. Charlet, Sur quelques aspects du web sémantique, Assises du GDR I, vol.3, pp.59-78, 2002.

J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas et al., DBpedia -a large-scale, multilingual knowledge base extracted from wikipedia, 2014.

H. Liu and H. Motoda, Computational methods of feature selection, 2007.

M. Löchtefeld, C. Jäckel, and A. Krüger, TwitSoccer, Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, MUM '15, pp.148-151, 2015.
DOI : 10.1145/2207676.2208622

F. Mahdisoltani, J. Biega, and F. Suchanek, Yago3: A knowledge base from multilingual wikipedias, 7th conference on innovative data systems research, 2014.

C. D. Manning, P. Raghavan, and H. Schütze, Introduction to information retrieval, 2008.
DOI : 10.1017/CBO9780511809071

C. D. Manning, M. Surdeanu, J. Bauer, J. R. Finkel, S. Bethard et al., The Stanford CoreNLP Natural Language Processing Toolkit, Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp.55-60, 2014.
DOI : 10.3115/v1/P14-5010

A. Marcus, M. S. Bernstein, O. Badar, D. R. Karger, S. Madden et al., Twitinfo, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.227-236, 2011.
DOI : 10.1145/1978942.1978975

URL : http://dspace.mit.edu/bitstream/1721.1/72370/1/Karger_twitinfo.pdf

A. Marcus, M. S. Bernstein, O. Badar, D. R. Karger, S. Madden et al., Twitinfo, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.227-236, 2011.
DOI : 10.1145/1978942.1978975

URL : http://dspace.mit.edu/bitstream/1721.1/72370/1/Karger_twitinfo.pdf

M. Mathioudakis and N. Koudas, TwitterMonitor, Proceedings of the 2010 international conference on Management of data, SIGMOD '10, pp.1155-1158, 2010.
DOI : 10.1145/1807167.1807306

A. Mccallum and W. Li, Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons, Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -, pp.188-191, 2003.
DOI : 10.3115/1119176.1119206

A. J. Mcminn and J. M. Jose, Real-Time Entity-Based Event Detection for Twitter, International conference of the cross-language evaluation forum for european languages, pp.65-77, 2015.
DOI : 10.1145/775047.775150

A. J. Mcminn, Y. Moshfeghi, and J. M. Jose, Building a large-scale corpus for evaluating event detection on twitter, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.409-418, 2013.
DOI : 10.1145/2505515.2505695

P. N. Mendes, M. Jakob, A. García-silva, and C. Bizer, DBpedia spotlight, Proceedings of the 7th International Conference on Semantic Systems, I-Semantics '11, pp.1-8, 2011.
DOI : 10.1145/2063518.2063519

R. Mihalcea and P. Tarau, Textrank: Bringing order into texts, 2004.

A. Mikheev, A knowledge-free method for capitalized word disambiguation, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, pp.159-166, 1999.
DOI : 10.3115/1034678.1034710

URL : http://acl.ldc.upenn.edu/P/P99/P99-1021.pdf

T. Mikolov, K. Chen, G. Corrado, and J. Dean, Efficient estimation of word representations in vector space. arXiv preprint, 2013.

G. A. Miller, WordNet: a lexical database for English, Communications of the ACM, vol.38, issue.11, pp.39-41, 1995.
DOI : 10.1145/219717.219748

S. Miller, J. Guinness, and A. Zamanian, Name tagging with word clusters and discriminative training, Hlt-naacl, pp.337-342, 2004.

D. Nadeau, Semi-supervised named entity recognition: learning to recognize 100 entity types with little supervision (Unpublished doctoral dissertation ), 2007.

D. Nadeau and S. Sekine, A survey of named entity recognition and classification, Lingvisticae Investigationes, pp.3-26, 2007.
DOI : 10.1075/bct.19.03nad

M. Nagarajan, H. Purohit, and A. P. Sheth, A qualitative examination of topical tweet and retweet practices, ICWSM, vol.2, issue.010, pp.295-298, 2010.

J. Nichols, J. Mahmud, and C. Drews, Summarizing sporting events using twitter, Proceedings of the 2012 ACM international conference on Intelligent User Interfaces, IUI '12, pp.189-198, 2012.
DOI : 10.1145/2166966.2166999

D. Nigel and C. Rachel, Just the facts:winnowing microblogs for newsworthy statements using non-lexical features, Proceedings of the 18th international conference on computational linguistics and intelligent text processing, 2017.

P. Norvig, Natural language corpus data, 2009.

R. Nugroho, W. Zhao, J. Yang, C. Paris, S. Nepal et al., Timesensitive topic derivation in twitter, International conference on web information systems engineering, pp.138-152, 2015.
DOI : 10.1007/978-3-319-26190-4_10

M. Osborne, S. Petrovic, R. Mccreadie, C. Macdonald, and I. Ounis, Bieber no more: First story detection using twitter and wikipedia, Sigir 2012 workshop on time-aware information access, 2012.

O. Owoputi, B. O-'connor, C. Dyer, K. Gimpel, N. Schneider et al., Improved part-of-speech tagging for online conversational text with word clusters, 2013.

¨. Ozsoy and S. , Use of new media by turkish fans in sport communication: Facebook and twitter, Journal of Human Kinetics, vol.28, pp.165-176, 2011.

R. Parikh and K. Karlapalem, ET, Proceedings of the 22nd International Conference on World Wide Web, WWW '13 Companion, pp.613-620, 2013.
DOI : 10.1109/5254.784083

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

S. Petrovic, Real-time event detection in massive streams, 2013.

S. Petrovi´cpetrovi´c, M. Osborne, and V. Lavrenko, Streaming first story detection with application to twitter, Human language technologies: The 2010 annual conference of the north american chapter of the association for computational linguistics, pp.181-189, 2010.

S. Petrovi´cpetrovi´c, M. Osborne, and V. Lavrenko, Using paraphrases for improving first story detection in news and twitter, Proceedings of the 2012 conference of the north american chapter of the association for computational linguistics: Human language technologies, pp.338-346, 2012.

T. Poibeau and L. Kosseim, Proper name extraction from non-journalistic texts. Language and computers, pp.144-157, 2001.

A. Popescu, M. Pennacchiotti, and D. Paranjpe, Extracting events and event descriptions from Twitter, Proceedings of the 20th international conference companion on World wide web, WWW '11, pp.105-106, 2011.
DOI : 10.1145/1963192.1963246

URL : http://www.www2011india.com/proceeding/companion/p105.pdf

J. Pustejovsky, J. M. Castano, R. Ingria, R. Sauri, R. J. Gaizauskas et al., Timeml: Robust specification of event and temporal expressions in text. New directions in question answering, pp.28-34, 2003.

J. Pustejovsky, R. Knippen, J. Littman, and R. Saurí, Temporal and event information in natural language text. Language resources and evaluation, pp.123-164, 2005.
DOI : 10.1007/978-1-4020-5958-2_13

A. Ritter, S. Clark, and O. Etzioni, Named entity recognition in tweets: an experimental study, Proceedings of the conference on empirical methods in natural language processing, pp.1524-1534, 2011.

A. Ritter, O. Etzioni, and S. Clark, Open domain event extraction from twitter, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '12, pp.1104-1112, 2012.
DOI : 10.1145/2339530.2339704

URL : http://turing.cs.washington.edu/papers/kdd12-ritter.pdf

J. Ritterman, M. Osborne, and E. Klein, Using prediction markets and twitter to predict a swine flu pandemic, 1st international workshop on mining social media, pp.9-17, 2009.

G. Rizzo and R. Troncy, Nerd: evaluating named entity recognition tools in the web of data, 2011.

T. Sakaki, M. Okazaki, and Y. Matsuo, Earthquake shakes Twitter users, Proceedings of the 19th international conference on World wide web, WWW '10, pp.851-860, 2010.
DOI : 10.1145/1772690.1772777

G. Sampson, How fully does a machine-usable dictionary cover english text? Literary and Linguistic Computing, pp.29-35, 1989.

F. Schilder, G. Katz, and J. Pustejovsky, Annotating, extracting and reasoning about time and events, Annotating, extracting and reasoning about time and events, pp.1-6, 2007.
DOI : 10.1007/978-3-540-75989-8_1

S. Sekine, Nyu: Description of the japanese ne system used for met-2, Proc. message understanding conference, 1998.

B. Settles, Biomedical named entity recognition using conditional random fields and rich feature sets, Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, JNLPBA '04, pp.104-107, 2004.
DOI : 10.3115/1567594.1567618

URL : http://www.cs.wisc.edu/~bsettles/pub/bsettles-nlpba04.pdf

B. Sharifi, M. Hutton, and J. Kalita, Summarizing microblogs automatically, Human language technologies: The 2010 annual conference of the north american chapter of the association for computational linguistics, pp.685-688, 2010.

B. Sharifi, M. Hutton, and J. Kalita, Summarizing microblogs automatically, Human language technologies: The 2010 annual conference of the north american chapter of the association for computational linguistics, pp.685-688, 2010.

S. K. Sien?nik, Adapting word2vec to named entity recognition, Proceedings of the 20th nordic conference of computational linguistics, nodalida 2015, pp.239-243, 2015.

C. G. Snoek and M. Worring, Multimedia event-based video indexing using time intervals, IEEE Transactions on Multimedia, vol.7, issue.4, pp.638-647, 2005.
DOI : 10.1109/TMM.2005.850966

URL : http://www.science.uva.nl/~cgmsnoek/pub/snoek-time-mm.pdf

C. G. Snoek and M. Worring, Time interval based modelling and classification of events in soccer video, Proceedings of the 9th annual conference of the advanced school for computing and imaging (asci), heijen, 2003.

R. Socher, A. Perelygin, J. Y. Wu, J. Chuang, C. D. Manning et al., Recursive deep models for semantic compositionality over a sentiment treebank, Proceedings of emnlp, p.1642, 2013.

Y. Song, H. Wang, Z. Wang, H. Li, and W. Chen, Short text conceptualization using a probabilistic knowledgebase, Proceedings of the twenty, pp.2330-2336, 2011.

R. Sprugnoli, S. B. Tonelli, H. Cao, Y. Wu, M. Jiang et al., One, no one and one hundred thousand events: Defining and processing events in an inter-disciplinary perspective Retrieved from https Recognizing clinical entities in hospital discharge summaries using structural support vector machines with word representation features, Natural Language Engineering BMC medical informatics and decision making, vol.23, issue.131, pp.485-506, 2013.

B. Dhoedt, Detecting newsworthy topics in twitter, Data challenge, pp.1-8, 2014.

M. Van-erp, G. Rizzo, and R. Troncy, Learning with the web: Spotting named entities on the intersection of nerd and machine learning, # msm, pp.27-30, 2013.

A. Vaswani, Y. Zhao, V. Fossum, and D. Chiang, Decoding with largescale neural language models improves translation, Emnlp, pp.1387-1392, 2013.

M. Verhagen, R. Gaizauskas, F. Schilder, M. Hepple, G. Katz et al., SemEval-2007 task 15, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.75-80, 2007.
DOI : 10.3115/1621474.1621488

X. Wang, F. Wei, X. Liu, M. Zhou, and M. Zhang, Topic sentiment analysis in twitter, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1031-1040, 2011.
DOI : 10.1145/2063576.2063726

W. Xie, F. Zhu, J. Jiang, E. Lim, and K. Wang, Topicsketch: Realtime bursty topic detection from twitter, Data mining (icdm), 2013 ieee 13th international conference on, pp.837-846, 2013.
DOI : 10.1109/tkde.2016.2556661

W. Xu, R. Grishman, A. Meyers, and A. Ritter, A preliminary study of tweet summarization using information extraction, 1920.

L. Yang, T. Sun, M. Zhang, and Q. Mei, We know what @you #tag, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.261-270, 2012.
DOI : 10.1145/2187836.2187872

X. Yang, C. Macdonald, and I. Ounis, Using word embeddings in twitter election classification. arXiv preprint, 2016.

Y. Yang and J. O. Pedersen, A comparative study on feature selection in text categorization, In Icml, vol.97, pp.412-420, 1997.

Y. Yang, T. Pierce, and J. Carbonell, A study of retrospective and online event detection, Proceedings of the 21st annual international acm sigir conference on research and development in information retrieval, pp.28-36, 1998.

H. Zhai, T. Lingren, L. Deleger, Q. Li, M. Kaiser et al., Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing, Journal of Medical Internet Research, vol.15, issue.4, p.73, 2013.
DOI : 10.3115/1225785.1225791

D. Zhou, L. Chen, and Y. He, A Simple Bayesian Modelling Approach to Event Extraction from Twitter, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2011.
DOI : 10.3115/v1/P14-2114

D. Zhou, X. Zhang, and Y. He, Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pp.808-817, 2017.
DOI : 10.18653/v1/E17-1076