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In the NLP community, recent years have seen a surge of research activities that address machines' ability to perform deep language understanding which goes beyond what is explicitly stated in text, rather relying on reasoning and knowledge of the world.
Multi-Task Deep Neural Networks for Natural Language Understanding
Liu, X., He, P., Chen, W., and Gao, J. (2019a) · 1901
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SocialIQA: Commonsense Reasoning about Social Interactions
Sap, M., Rashkin, H., Chen, D., LeBras, R., and Choi, Y. (2019b) · 1904
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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O., and Bowman, S. R. (2019) · 1905
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Defending Against Neural Fake News
Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., and Choi, Y. (2019b) · 1905
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ASER: A Large-scale Eventuality Knowledge Graph
Zhang, H., Liu, X., Pan, H., Song, Y., Wing-Ki, C., and Leung (2019) · 1905
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R., and Le, Q. V. (2019) · 1906
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V. (2019b) · 1907
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WINOGRANDE: An adversarial winograd schema challenge at scale
Sakaguchi, K., Bras, R. L., Bhagavatula, C., and Choi, Y. (2019) · 1907
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Green AI
Schwartz, R., Dodge, J., Smith, N. A., and Etzioni, O. (2019) · 1907
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Abductive commonsense reasoning
Bhagavatula, C., Bras, R. L., Malaviya, C., Sakaguchi, K., Holtzman, A., Rashkin, H., Downey, D., Yih, S. W.-t., and Choi, Y. (2019) · 1908
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ALBERT: A lite BERT for self-supervised learning of language representations
Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., and Soricut, R. (2019) · 1909
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The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
Habernal, I., Wachsmuth, H., Gurevych, I., and Stein, B. (2018) · 1940
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A theory of human motivation
Maslow, A. H. (1943) · 1943
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An experimental study of apparent behavior
Heider, F., and Simmel, M. (1944) · 1944
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Computing machinery and intelligence
Turing, A. M. (1950) · 1950
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“Cloze Procedure”: A New Tool for Measuring Readability
Taylor, W. L. (1953) · 1953
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A Knowledge Hunting Framework for Common Sense Reasoning
Emami, A., De La Cruz, N., Trischler, A., Suleman, K., and Cheung, J. C. K. (2018) · 1958
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Symbolic Logic
Lewis, C. I., Langford, C. H., and Lamprecht, P. (1959) · 1959
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Plans and the Structure of Behavior
Miller, G. A., Galanter, E., and Pribram, K. H. (1960) · 1960
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Semantic Memory
Quillian, M. R. (1966) · 1966
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Programs with Common Sense
McCarthy, J. (1968) · 1968
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Linguistics and natural logic
Lakoff, G. (1970) · 1970
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Understanding Natural Language
Winograd, T. (1972) · 1972
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A Framework for Representing Knowledge
Minsky, M. (1974) · 1974
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What’s in a Link: Foundations for Semantic Networks
Woods, W. A. (1975) · 1975
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The concept of a linguistic variable and its application to approximate reasoning—I
Zadeh, L. A. (1975) · 1975
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The Need for a Frame Semantics within Linguistics
Fillmore, C. J. (1976) · 1976
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An example for natural language understanding and the AI problems it raises
McCarthy, J. (1976) · 1976
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Scenes-and-Frames Semantics
Fillmore, C. J. (1977) · 1977
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Human and Computational Question Answering*
Lehnert, W. (1977) · 1977
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A general psychoevolutionary theory of emotion
Plutchik, R. (1980) · 1980
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The Role of Logic in Knowledge Representation and Commonsense Reasoning
Moore, R. C. (1982) · 1982
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A maximum likelihood approach to continuous speech recognition
Bahl, L. R., Jelinek, F., and Mercer, R. L. (1983) · 1983
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Position Paper on Common-sense and Formal Semantics
Nunberg, G. (1987) · 1987
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Scripts, Plans, Goals, and Understanding
Schank, R. C., and Abelson, R. P. (1988) · 1988
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Prior Analytics
Aristotle (1989) · 1989
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Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Lenat, D. B., and Guha, R. V. (1989) · 1989
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A statistical approach to machine translation
Brown, P. F., Cocke, J., Della Pietra, S. A., Della Pietra, V. J., Jelinek, F., Lafferty, J. D., Mercer, R. L., and Roossin, P. S. (1990) · 1990
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A methodology for using a default and abductive reasoning system
Poole, D. (1990) · 1990
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Abductive and Default Reasoning: A Computational Core
Selman, B., and Levesque, H. J. (1990) · 1990
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Rigor mortis: A response to Nilsson’s “Logic and artificial intelligence”
Birnbaum, L. (1991) · 1991
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Class-Based n-gram Models of Natural Language
Brown, P. F., Della Pietra, V. J., deSouza, P. V., Lai, J. C., and Mercer, R. L. (1992) · 1992
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Alfarabi, Avicenna, and Averroes on Intellect: Their Cosmologies, Theories of the Active Intellect, and Theories of Human Intellect
Davidson, H. A. (1992) · 1992
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Interpretation as abduction
Hobbs, J. R., Stickel, M. E., Appelt, D. E., and Martin, P. (1993) · 1993
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English Verb Classes and Alternations: A Preliminary Investigation
Levin, B. (1993) · 1993
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Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. P., Santorini, B., and Marcinkiewicz, M. A. (1993) · 1993
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Tipster/MUC-5: Information extraction system evaluation
Sundheim, B. M. (1993) · 1993
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WordNet: A Lexical Database for English
Miller, G. A. (1995) · 1995
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Message Understanding Conference-6: A Brief History
Grishman, R., and Sundheim, B. (1996) · 1996
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Producing high-dimensional semantic spaces from lexical co-occurrence
Lund, K., and Burgess, C. (1996) · 1996
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Long Short-Term Memory
Hochreiter, S., and Schmidhuber, J. (1997) · 1997
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The Berkeley FrameNet Project
Baker, C. F., Fillmore, C. J., and Lowe, J. B. (1998) · 1998
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WordNet : An Electronic Lexical Database
Fellbaum, C. (1999) · 1999
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Principles of Mathematical Logic
Hilbert, D., and Ackermann, W. (1999) · 1999
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Deep Read: A Reading Comprehension System
Hirschman, L., Light, M., Breck, E., and Burger, J. D. (1999) · 1999
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Reading Comprehension Programs in a Statistical-language-processing Class
Charniak, E., Altun, Y., Braz, R. d. S., Garrett, B., Kosmala, M., Moscovich, T., Pang, L., Pyo, C., Sun, Y., Wy, W., Yang, Z., Zeller, S., and Zorn, L. (2000) · 2000
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Automatic Labeling of Semantic Roles
Gildea, D., and Jurafsky, D. (2000) · 2000
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Minds, Machines and Turing
Harnad, S. (2000) · 2000
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Commonsense-based interfaces
Minsky, M. (2000) · 2000
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A Machine Learning Approach to Answering Questions for Reading Comprehension Tests
Ng, H. T., Teo, L. H., and Kwan, J. L. P. (2000) · 2000
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The TREC-8 Question Answering Track
Voorhees, E. M. (2000) · 2000
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The FrameNet Database and Software Tools.
Fillmore, C. J., Baker, C. F., and Sato, H. (2002) · 2002
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Adding Semantic Annotation to the Penn TreeBank
Kingsbury, P., Palmer, M., and Marcus, M. (2002) · 2002
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Bleu: A Method for Automatic Evaluation of Machine Translation
Papineni, K., Roukos, S., Ward, T., and Zhu, W.-J. (2002) · 2002
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The Public Acquisition of Commonsense Knowledge
Singh, P. (2002) · 2002
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Learner: A System for Acquiring Commonsense Knowledge by Analogy
Chklovski, T. (2003) · 2003
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The Penn Treebank: An Overview
Taylor, A., Marcus, M., and Santorini, B. (2003) · 2003
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Introduction to the CoNLL-2003 Shared Task: Language-independent Named Entity Recognition
Tjong Kim Sang, E. F., and De Meulder, F. (2003) · 2003
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Infants’ physical world
Baillargeon, R. (2004) · 2004
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VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Chklovski, T., and Pantel, P. (2004) · 2004
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The automatic content extraction (ACE) program – tasks, data, and evaluation
Doddington, G., Mitchell, A., Przybocki, M., Ramshaw, L., Strassel, S., and Weischedel, R. (2004) · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Lin, C.-Y. (2004) · 2004
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ConceptNet — A Practical Commonsense Reasoning Tool-Kit
Liu, H., and Singh, P. (2004) · 2004
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The Penn Discourse Treebank
Miltsakaki, E., Prasad, R., Joshi, A., and Webber, B. (2004) · 2004
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Semantic Role Labeling via Integer Linear Programming Inference
Punyakanok, V., Roth, D., Yih, W.-t., and Zimak, D. (2004) · 2004
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Multifaceted Nature of Intrinsic Motivation: The Theory of 16 Basic Desires
Reiss, S. (2004) · 2004
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The PASCAL Recognising Textual Entailment Challenge
Dagan, I., Glickman, O., and Magnini, B. (2005) · 2005
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Automatically Constructing a Corpus of Sentential Paraphrases
Dolan, W. B., and Brockett, C. (2005) · 2005
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Unsupervised named-entity extraction from the Web: An experimental study
Etzioni, O., Cafarella, M., Downey, D., Popescu, A.-M., Shaked, T., Soderland, S., Weld, D. S., and Yates, A. (2005) · 2005
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Robust textual inference via learning and abductive reasoning
Raina, R., Ng, A. Y., and Manning, C. D. (2005) · 2005
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VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon
Schuler, K. K. (2005) · 2005
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Can infants attribute to an agent a disposition to perform a particular action?
Song, H.-j., Baillargeon, R., and Fisher, C. (2005) · 2005
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The Second PASCAL Recognising Textual Entailment Challenge
Bar-Haim, R., Dagan, I., Dolan, B., Ferro, L., Giampiccolo, D., Magnini, B., and Szpektor, I. (2006) · 2006
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Comparing Automatic and Human Evaluation of NLG Systems
Belz, A., and Reiter, E. (2006) · 2006
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Applied Textual Entailment
Glickman, O. (2006) · 2006
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Recognizing textual entailment with LCC’s GROUNDHOG system
Hickl, A., Bensley, J., Williams, J., Roberts, K., Rink, B., and Shi, Y. (2006) · 2006
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DBpedia: A Nucleus for a Web of Open Data
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. (2007) · 2007
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The Third PASCAL Recognizing Textual Entailment Challenge
Giampiccolo, D., Magnini, B., Dagan, I., and Dolan, B. (2007) · 2007
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ConceptNet 3: A flexible, multilingual semantic network for common sense knowledge
Havasi, C., Speer, R., and Alonso, J. B. (2007) · 2007
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Natural Logic for Textual Inference
MacCartney, B., and Manning, C. D. (2007) · 2007
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Deriving a Large Scale Taxonomy from Wikipedia
Ponzetto, S. P., and Strube, M. (2007) · 2007
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OntoNotes: A Unified Relational Semantic Representation
Pradhan, S. S., Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., and Weischedel, R. (2007) · 2007
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YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
Suchanek, F. M., Kasneci, G., and Weikum, G. (2007) · 2007
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A Linguistic Resource for Discovering Event Structures and Resolving Event Coreference
Bejan, C. A., and Harabagiu, S. M. (2008) · 2008
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Freebase: A Collaboratively Created Graph Database for Structuring Human Knowledge
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., and Taylor, J. (2008) · 2008
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Unsupervised Learning of Narrative Event Chains
Chambers, N., and Jurafsky, D. (2008) · 2008
Earlier work this paper cites.
Open information extraction from the web
Etzioni, O., Banko, M., Soderland, S., and Weld, D. S. (2008) · 2008
Earlier work this paper cites.
The Fourth PASCAL Recognizing Textual Entailment Challenge
Giampiccolo, D., Dang, H. T., Magnini, B., Dagan, I., and Dolan, B. (2008) · 2008
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UAIC Participation at RTE4
Iftene, A. (2008) · 2008
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Integrating Cyc and Wikipedia: Folksonomy meets rigorously defined common-sense
Medelyan, O., and Legg, C. (2008) · 2008
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AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
Speer, R., Havasi, C., and Lieberman, H. (2008) · 2008
Earlier work this paper cites.
The Fifth PASCAL Recognizing Textual Entailment Challenge
Bentivogli, L., Dagan, I., Dang, H. T., Giampiccolo, D., and Magnini, B. (2009) · 2009
Cited alongside, same era.
Graph-based Event Coreference Resolution
Chen, Z., and Ji, H. (2009) · 2009
Cited alongside, same era.
What do We Know about Conversation Participants: Experiments on Conversation Entailment
Zhang, C., and Chai, J. (2009) · 2009
Cited alongside, same era.
The Sixth PASCAL Recognizing Textual Entailment Challenge
Bentivogli, L., Clark, P., Dagan, I., and Giampiccolo, D. (2010) · 2010
Cited alongside, same era.
SenticNet: A Publicly Available Semantic Resource for Opinion Mining
Cambria, E., Speer, R., Havasi, C., and Hussain, A. (2010) · 2010
Cited alongside, same era.
Toward an Architecture for Never-Ending Language Learning
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Jr, E. R. H., and Mitchell, T. M. (2010) · 2010
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge.
Speer, R., Chin, J., and Havasi, C. (2017) · 2017
Later among the works it cites.
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems
Sugawara, S., Yokono, H., and Aizawa, A. (2017) · 2017
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A Corpus of Natural Language for Visual Reasoning
Suhr, A., Lewis, M., Yeh, J., and Artzi, Y. (2017) · 2017
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WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation
Tandon, N., de Melo, G., and Weikum, G. (2017) · 2017
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Attention is All you Need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I. (2017) · 2017
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Integrating Order Information and Event Relation for Script Event Prediction
Wang, Z., Zhang, Y., and Chang, C.-Y. (2017) · 2017
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Cited alongside, same era.
Evaluation of Commonsense Knowledge with Mechanical Turk
Gordon, J., Van Durme, B., and Schubert, L. (2010) · 2010
Cited alongside, same era.
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity
Kuo, Y.-L., and Hsu, J. Y.-J. (2010) · 2010
Cited alongside, same era.
Learning First-order Horn Clauses from Web Text
Schoenmackers, S., Etzioni, O., Weld, D. S., and Davis, J. (2010) · 2010
Cited alongside, same era.
Towards Conversation Entailment: An Empirical Investigation
Zhang, C., and Chai, J. (2010) · 2010
Cited alongside, same era.
The Seventh PASCAL Recognizing Textual Entailment Challenge
Bentivogli, L., Clark, P., Dagan, I., and Giampiccolo, D. (2011) · 2011
Cited alongside, same era.
Global Learning of Typed Entailment Rules
Berant, J., Dagan, I., and Goldberger, J. (2011) · 2011
Cited alongside, same era.
Later among the works it cites.
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
White, A. S., Rastogi, P., Duh, K., and Van Durme, B. (2017) · 2017
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Large-scale Cloze Test Dataset Created by Teachers
Xie, Q., Lai, G., Dai, Z., and Hovy, E. (2017) · 2017
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Ordinal Common-sense Inference
Zhang, S., Rudinger, R., Duh, K., and Van Durme, B. (2017) · 2017
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Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., and van den Hengel, A. (2018) · 2018
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Leveraging knowledge bases for future prediction with memory comparison networks
Andrade, D., Bai, B., Rajendran, R., and Watanabe, Y. (2018) · 2018
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Commonsense for Generative Multi-Hop Question Answering Tasks
Bauer, L., Wang, Y., and Bansal, M. (2018) · 2018
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Simulating Action Dynamics with Neural Process Networks
Bosselut, A., Levy, O., Holtzman, A., Ennis, C., Fox, D., and Choi, Y. (2018) · 2018
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Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning
Botschen, T., Sorokin, D., and Gurevych, I. (2018) · 2018
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Camacho-Collados, J., and Pilehvar, M. T. (2018) · 2018
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Language to Action: Towards Interactive Task Learning with Physical Agents
Chai, J. Y., Gao, Q., She, L., Yang, S., Saba-Sadiya, S., and Xu, G. (2018) · 2018
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Neural Natural Language Inference Models Enhanced with External Knowledge
Chen, Q., Zhu, X., Ling, Z.-H., Inkpen, D., and Wei, S. (2018) · 2018
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HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension
Chen, Z., Cui, Y., Ma, W., Wang, S., Liu, T., and Hu, G. (2018) · 2018
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QuAC : Question Answering in Context
Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.-t., Choi, Y., Liang, P., and Zettlemoyer, L. (2018) · 2018
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Simple and Effective Multi-Paragraph Reading Comprehension
Clark, C., and Gardner, M. (2018) · 2018
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Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Clark, P., Cowhey, I., Etzioni, O., Khot, T., Sabharwal, A., Schoenick, C., and Tafjord, O. (2018) · 2018
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Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates
Collell, G., Gool, L. V., and Moens, M.-F. (2018) · 2018
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Machine Common Sense
DARPA (2018) · 2018
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Embodied Question Answering
Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., and Batra, D. (2018) · 2018
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The Winograd Schema Challenge
Davis, E., Morgenstern, L., and Ortiz, C. (2018) · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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From Lifestyle VLOGs to Everyday Interactions
Fouhey, D. F., Kuo, W., Efros, A. A., and Malik, J. (2018) · 2018
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Robust and Scalable Differentiable Neural Computer for Question Answering
Franke, J., Niehues, J., and Waibel, A. (2018) · 2018
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What Action Causes This? Towards Naive Physical Action-Effect Prediction
Gao, Q., Yang, S., Chai, J., and Vanderwende, L. (2018) · 2018
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Breaking NLI systems with sentences that require simple lexical inferences
Glockner, M., Shwartz, V., and Goldberg, Y. (2018) · 2018
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IQA: Visual Question Answering in Interactive Environments
Gordon, D. B., Kembhavi, A., Rastegari, M., Redmon, J., Fox, D., and Farhadi, A. (2018) · 2018
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Annotation Artifacts in Natural Language Inference Data
Gururangan, S., Swayamdipta, S., Levy, O., Schwartz, R., Bowman, S., and Smith, N. A. (2018) · 2018
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Compositional Attention Networks for Machine Reasoning
Hudson, D. A., and Manning, C. D. (2018) · 2018
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Commonsense mining as knowledge base completion? A study on the impact of novelty
Jastrzębski, S., Bahdanau, D., Hosseini, S., Noukhovitch, M., Bengio, Y., and Cheung, J. (2018) · 2018
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Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
Khashabi, D., Chaturvedi, S., Roth, M., Upadhyay, S., and Roth, D. (2018) · 2018
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SciTail: A Textual Entailment Dataset from Science Question Answering
Khot, T., Sabharwal, A., and Clark, P. (2018) · 2018
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The NarrativeQA Reading Comprehension Challenge
Kočiský, T., Schwarz, J., Blunsom, P., Dyer, C., Hermann, K. M., Melis, G., and Grefenstette, E. (2018) · 2018
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Explicit Bias Discovery in Visual Question Answering Models
Manjunatha, V., Saini, N., and Davis, L. S. (2018) · 2018
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Towards real-world visual reasoning.
Manning, C., and Hudson, D. (2018) · 2018
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NLP’s generalization problem, and how researchers are tackling it.
Marasović, A. (2018) · 2018
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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Mihaylov, T., Clark, P., Khot, T., and Sabharwal, A. (2018) · 2018
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Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension
Mishra, B. D., Huang, L., Tandon, N., Yih, W.-t., and Clark, P. (2018) · 2018
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Evaluating Theory of Mind in Question Answering
Nematzadeh, A., Burns, K., Grant, E., Gopnik, A., and Griffiths, T. (2018) · 2018
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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
Ostermann, S., Modi, A., Roth, M., Thater, S., and Pinkal, M. (2018) · 2018
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How much is a Triple? Estimating the Cost of Knowledge Graph Creation
Paulheim, H. (2018) · 2018
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Deep Contextualized Word Representations
Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L. (2018) · 2018
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Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Poliak, A., Haldar, A., Rudinger, R., Hu, J. E., Pavlick, E., White, A. S., and Van Durme, B. (2018a) · 2018
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Improving Language Understanding with Unsupervised Learning.
Radford, A., Narasimhan, K., Salimans, T., and Sutskever, I. (2018) · 2018
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Rajpurkar, P., Jia, R., and Liang, P. (2018) · 2018
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Modeling Naive Psychology of Characters in Simple Commonsense Stories
Rashkin, H., Bosselut, A., Sap, M., Knight, K., and Choi, Y. (2018a) · 2018
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Event2Mind: Commonsense Inference on Events, Intents, and Reactions
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