M. Banko, J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni, Open information extraction from the web, IJCAI, 2007.

M. Baroni, R. Bernardi, N. Do, and C. Shan, Entailment above the word level in distributional semantics, ACL '12, 2012.

M. Baroni, G. Dinu, and G. Kruszewski, Dont count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors, ACL '14, 2014.

N. Béchet, P. Cellier, T. Charnois, and B. Crémilleux, Discovering Linguistic Patterns Using Sequence Mining, CICLing '12, 2012.
DOI : 10.1007/978-3-642-28604-9_13

G. Bordea, P. Buitelaar, and T. Polajnar, Domain-independent term extraction through domain modelling, TIA '13, 2013.

D. Chavalarias and J. Cointet, Phylomemetic Patterns in Science Evolution???The Rise and Fall of Scientific Fields, PLoS ONE, vol.17, issue.2, p.2013
DOI : 10.1371/journal.pone.0054847.s003

URL : https://hal.archives-ouvertes.fr/hal-01401779

B. Daille, Building bilingual terminologies from comparable corpora: The ttc termsuite, 5th Workshop on Building and Using Comparable Corpora, co-located with LREC, pp.39-71, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00819594

L. , D. Corro, and R. Gemulla, Clausie: Clause-based open information extraction, International Conference on World Wide Web, WWW '13, 2013.

A. Fader, S. Soderland, and O. Etzioni, Identifying relations for open information extraction, EMNLP '11, 2011.

O. Ferret, Language Production, Cognition, and the Lexicon, Distributional Thesauri, pp.113-134, 2015.

K. Gábor, H. Zargayouna, D. Buscaldi, I. Tellier, and T. Charnois, Semantic annotation of the acl anthology corpus for the automatic analysis of scientific literature, LREC '16, 2016.

K. Gábor, H. Zargayouna, I. Tellier, D. Buscaldi, and T. Charnois, A typology of semantic relations dedicated to scientific literature analysis, SAVE-SD Workshop at the 25th World Wide Web Conference, 2016.

M. Hearst, Automatic acquisition of hyponyms from large text corpora, Proceedings of the 14th conference on Computational linguistics -, pp.539-545, 1992.
DOI : 10.3115/992133.992154

URL : http://acl.ldc.upenn.edu/C/C92/C92-2082.pdf

I. Hendrickx, S. N. Kim, Z. Kozareva, D. Nakov, P. et al., SemEval-2010 task 8, Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, DEW '09, 2010.
DOI : 10.3115/1621969.1621986

J. R. Hobbs and E. Riloff, Information extraction, Handbook of Natural Language Processing, 2010.

S. Kok and P. Domingos, Extracting Semantic Networks from Text Via Relational Clustering, Proceedings of ECML PKDD'08, 2008.
DOI : 10.1007/978-3-540-87479-9_59

A. Korhonen, Y. Krymolowski, and N. Collier, The choice of features for classification of verbs in biomedical texts, Proceedings of the 22nd International Conference on Computational Linguistics, COLING '08, 2008.
DOI : 10.3115/1599081.1599138

O. Levy, Y. Goldberg, and I. Dagan, Improving distributional similarity with lessons learned from word embeddings, Transactions of the ACL, vol.3, 2015.

O. Levy, S. Remus, C. Biemannm, and I. Dagan, Do Supervised Distributional Methods Really Learn Lexical Inference Relations?, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015.
DOI : 10.3115/v1/N15-1098

D. Lin and P. Pantel, DIRT @SBT@discovery of inference rules from text, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '01, 2001.
DOI : 10.1145/502512.502559

T. Mikolov, K. Chen, G. Corrado, and J. Dean, Efficient estimation of word representations in vector space, Proceedings of Workshop at ICLR, 2013.

T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality Advances in neural information processing systems, 2013.

T. Mikolov, W. Yih, and G. Zweig, Linguistic regularities in continuous space word representations, NAACL, 2013.

B. Min, S. Shi, R. Grishman, and C. Lin, Ensemble semantics for large-scale unsupervised relation extraction, EMNLP'12, 2012.
DOI : 10.4018/jswis.2012070101

R. Navigli and S. P. Ponzetto, BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network, Artificial Intelligence, vol.193, 2012.
DOI : 10.1016/j.artint.2012.07.001

E. Omodei, J. Cointet, and T. Poibeau, Mapping the natural language processing domain : Experiments using the acl anthology, LREC '14, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01056147

G. Petasis, V. Karkaletsis, G. Paliouras, A. Krithara, and E. Zavitsanos, Ontology population and enrichment: State of the art. In Knowledge-driven multimedia information extraction and ontology evolution, 2011.

V. Presutti, S. Consoli, A. G. Nuzzolese, D. R. Recupero, and A. Gangemi, Uncovering the Semantics of Wikipedia Pagelinks, Knowledge Engineering and Knowledge Management, pp.413-428, 2014.
DOI : 10.1007/978-3-319-13704-9_32

D. R. Radev, P. Muthukrishnan, and V. Qazvinian, The ACL Anthology Network Corpus, ACL Workshop on Text and Citation Analysis for Scholarly Digital Libraries, 2009.
DOI : 10.3115/1699750.1699759

B. Sateli and R. Witte, What's in this paper?, Proceedings of the 24th International Conference on World Wide Web, WWW '15 Companion, 2015.
DOI : 10.1145/2740908.2742022

R. Srikant and R. Agrawal, Mining sequential patterns: Generalizations and performance improvements, EDBT, pp.3-17, 1996.
DOI : 10.1007/BFb0014140

URL : http://arbor.ee.ntu.edu.tw/~chyun/dmpaper/srikms96.pdf

P. D. Turney, Similarity of semantic relations. CoRR, abs/cs/0608100, 2006.
DOI : 10.1162/coli.2006.32.3.379

J. Weeds, D. Clarke, J. Reffin, D. Weir, and B. Keller, Learning to distinguish hypernyms and co-hyponyms, COLING '14, 2014.

R. Yangarber, W. Lin, and R. Grishman, Unsupervised learning of generalized names, Proceedings of the 19th international conference on Computational linguistics -, 2002.
DOI : 10.3115/1072228.1072382

L. Yao, A. Haghighi, S. Riedel, and A. Mccallum, Structured relation discovery using generative models, EMNLP'11, 2011.

Y. Zhao and G. Karypis, Evaluation of hierarchical clustering algorithms for document datasets, Proceedings of the eleventh international conference on Information and knowledge management , CIKM '02, 2002.
DOI : 10.1145/584792.584877

Y. Zhao, G. Karypis, and U. Fayyad, Hierarchical clustering algorithms for document datasets. Data Mining for Knowledge Discovery, 2005.
DOI : 10.1007/s10618-005-0361-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.8930

G. Zhou, J. Su, J. Zhang, and M. Zhang, Exploring various knowledge in relation extraction, ACL '05, 2005.