R. Baeza, -. Yates, and A. Tiberi, Extracting semantic relations from query logs, KDD, 2007.

F. Cai and M. De-rijke, A survey of query auto completion in information retrieval. Foundations and Trends in Information Retrieval, 2016.

J. Christensen, S. Soderland, and O. Etzioni, An analysis of open information extraction based on semantic role labeling. K-CAP, 2011.

B. Dalvi, N. Tandon, and P. Clark, Domain-targeted, high precision knowledge extraction, 2017.

H. Q. Chris, T. Ding, W. Li, H. Peng, and . Park, Orthogonal nonnegative matrix tri-factorizations for clustering, 2006.

C. Schoenick, Moving beyond the Turing test with the Allen AI science challenge, Communications of the ACM, 2017.

C. Manning, The Stanford CoreNLP natural language processing toolkit. ACL, 2014.

H. Cao, Context-aware query suggestion by mining click-through and session data, KDD, 2008.

L. Bentivogli, Revising the wordnet domains hierarchy: Semantics, coverage and balancing. COLING, 2004.

M. Joshi, TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension, 2017.

M. Pasca, Weakly-supervised acquisition of open-domain classes and class attributes from web documents and query logs, 2008.

N. Tandon, WebChild: harvesting and organizing commonsense knowledge from the web, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01699891

N. Tandon, Commonsense in parts: Mining part-whole relations from the web and image tags, 2016.

N. Tandon, Reasoning about actions and state changes by injecting commonsense knowledge, EMNLP, 2018.

C. Sreyasi-nag, VISIR: visual and semantic image label refinement, 2018.

S. Malyshev, Getting the most out of Wikidata: Semantic technology usage in Wikipedia's knowledge graph. ISWC, 2018.

T. Young, Augmenting end-to-end dialogue systems with commonsense knowledge, 2018.

A. Edward and . Feigenbaum, Knowledge engineering, Annals of the New York Academy of Sciences, 1984.

L. Galárraga, G. Heitz, K. Murphy, and F. M. Suchanek, Canonicalizing open knowledge bases. CIKM, 2014.

B. Douglas and . Lenat, Cyc: A large-scale investment in knowledge infrastructure, Communications of the ACM, 1995.

. Mausam, Open information extraction systems and downstream applications, IJCAI, 2016.

J. Mccarthy, Programs with common sense. RLE and MIT computation center, 1960.

G. A. Miller, Wordnet: A lexical database for english, Commun. ACM, 1995.

R. Navigli, Word sense disambiguation: A survey, ACM Comput. Surv, 2009.

A. Institute and . Ai, AI2 science questions v2

H. Pal, Demonyms and compound relational nouns in nominal open IE, 2016.

M. Parchure, A. Sasikumar, and . Garg, Veda: an online assessment and question banking system, International Conference on Management Technology for Educational Practice, 2009.

M. Pasca, Open-domain fine-grained class extraction from web search queries, EMNLP, 2013.

M. Pasca, The role of query sessions in interpreting compound noun phrases, 2015.

S. Saha and M. , Open information extraction from conjunctive sentences, 2018.

S. Saha, Harinder Pal, and Mausam. Bootstrapping for numerical open IE. ACL, 2017.

R. Speer and C. Havasi, Representing general relational knowledge in ConceptNet 5, LREC, 2012.

R. Speer and C. Havasi, ConceptNet 5: A large semantic network for relational knowledge, Theory and Applications of Natural Language Processing, 2012.

F. M. Suchanek, M. Sozio, and G. Weikum, SOFIE: a self-organizing framework for information extraction, 2009.

A. Talmor, J. Herzig, N. Lourie, and J. Berant, Commonsenseqa: A question answering challenge targeting commonsense knowledge, 2018.

N. Tandon, G. Gerard-de-melo, and . Weikum, WebChild 2.0: Fine-grained commonsense knowledge distillation, 2017.

D. Vrande?i? and M. Krötzsch, Wikidata: a free collaborative knowledgebase, Communications of the ACM, 2014.

W. Ryen, M. White, W. Richardson, and . Yih, Questions vs. queries in informational search tasks, 2015.

W. Wu, H. Li, H. Wang, and K. Zhu, Probase: a probabilistic taxonomy for text understanding, 2012.

F. Frank, B. Y. Xu, K. Lin, and . Zhu, Automatic extraction of commonsense locatednear knowledge, 2018.

M. Yatskar, V. Ordonez, and A. Farhadi, Stating the obvious: Extracting visual common sense knowledge, 2016.

R. Zellers, Y. Bisk, R. Schwartz, and Y. Choi, SWAG: A large-scale adversarial dataset for grounded commonsense inference, EMNLP, 2018.