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A Survey of the State of Explainable AI for Natural Language Processing [article]

Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
2020 arXiv   pre-print
This survey presents an overview of the current state of Explainable AI (XAI), considered within the domain of Natural Language Processing (NLP).  ...  We detail the operations and explainability techniques currently available for generating explanations for NLP model predictions, to serve as a resource for model developers in the community.  ...  Our goal for this survey is to: (1) provide the reader with a better understanding of the state of XAI in NLP, (2) point developers interested in building explainable NLP models to currently available  ... 
arXiv:2010.00711v1 fatcat:7si7hkcknzchbb7gdujew5sbiq

Knowledge-intensive Language Understanding for Explainable AI [article]

Amit Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021 arXiv   pre-print
Besides the concerns for fairness, privacy, transparency, and explainability are key to developing trusts in AI systems. As stated in describing trustworthy AI "Trust comes through understanding.  ...  Multiple aspects of an AI system can be explained; these include biases that the data might have, lack of data points in a particular region of the example space, fairness of gathering the data, feature  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.  ... 
arXiv:2108.01174v1 fatcat:ohhsrz53vbddjntfb6erknvc7u

Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students

Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge
This paper describes an experience in teaching Machine Learning (ML) and Natural Language Processing (NLP) to a group of high school students over an intense one-month period.  ...  These measures include employing a combination of objectivist and constructivist pedagogies, reviewing/introducing basic programming concepts at the beginning of the course, and addressing gender discrepancies  ...  In the exit survey, we repeated most of the questions to see how their perception of machine learning and natural language processing had evolved and if the course improved their confidence in programming  ... 
doi:10.1609/aaai.v34i09.7063 fatcat:ee7lz2qre5f55olwqnmzgbvu5a

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends [article]

Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar
2020 arXiv   pre-print
The purpose of this paper is to provide a survey of this emerging theme and identify key open research challenges at the intersection of AI and business processes.  ...  In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes.  ...  highlight the effectiveness of a multi-model approach using natural language and GUIs  ... 
arXiv:2007.13257v1 fatcat:dn6vivs2lbahtfxmd3ooahxqoy

Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents [article]

Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij Fadnis, Borja Godoy, Madhavan Pallan, Kartik Talamadupula
2020 arXiv   pre-print
The CLAI platform sets up the CLI as a new environment for AI researchers to conquer by surfacing the command line as a generic environment that researchers can interface to using a simple sense-act API  ...  of the system footprint of a CLAI-enabled terminal.  ...  Of these, Machine Learning was the top area; with Natural Language (Processing) a close second.  ... 
arXiv:2002.00762v2 fatcat:xwqtqoqyirc2tczv7ojpteklzq

Deep Learning for Conversational AI

Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts  
For each key component, we will define the research problem, provide a brief literature review and introduce the current state-of-the-art approaches.  ...  The main purpose of this tutorial is to encourage dialogue research in the NLP community by providing the research background, a survey of available resources, and giving key insights to application of  ...  Part II: Language Understanding and Dialogue State Tracking (40 minutes) • Survey of approaches for performing language understanding in spoken dialogue systems. • The impact of advances in semantic representation  ... 
doi:10.18653/v1/n18-6006 dblp:conf/naacl/SuMCV18 fatcat:2psamruxrbbv7pnqfpxi2tnfjy

A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act [article]

Francesco Sovrano, Salvatore Sapienza, Monica Palmirani, Fabio Vitali
2021 arXiv   pre-print
the lenses of the explainability obligations set by the proposed AI Act.  ...  A standardisation process is ongoing: several entities (e.g.  ...  process to be finalised and effectively deployed in the EU panorama.  ... 
arXiv:2110.11168v1 fatcat:dvwcguhtnzcfpetw3byjgp2qiu

Understanding understanding and ambiguity in natural language

Philip Jackson
2020 Procedia Computer Science  
How can we define and understand the nature of understanding itself? This paper discusses cognitive processes for understanding the world in general and for understanding natural language.  ...  Abstract How can we define and understand the nature of understanding itself? This paper discusses cognitive processes for understanding the world in general and for understanding natural language.  ...  To understand the nature of understanding, this paper has focused on a) explaining the nature of good explanations for understanding nature, and b) explaining how expressions in natural language can be  ... 
doi:10.1016/j.procs.2020.02.138 fatcat:csyhghww75bxtbmwp4mchbwiue

Page 1215 of Linguistics and Language Behavior Abstracts: LLBA Vol. 24, Issue 3 [page]

1990 Linguistics and Language Behavior Abstracts: LLBA  
This survey examines the capabilities of a hypothetical natural language understanding system named CHESTER, & looks at its properties & components.  ...  , 19, 1-2, Apr, 13-35. 1 Research in artificial intelligence concerned with the development of a computer system that does information processing at the common sense & expert levels is presented, & a survey  ... 

Page 242 of Computational Linguistics Vol. 16, Issue 4 [page]

1990 Computational Linguistics  
First, a survey of CALL is given, explaining the how and why of the evolution of the field up to the present. The next chapter, entitled “What is AI?”  ...  tries to “consider the whole question of the nature of AI.”  ... 

Fine-grained Interpretation and Causation Analysis in Deep NLP Models [article]

Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani
2021 arXiv   pre-print
The former introduces methods to analyze individual neurons and a group of neurons with respect to a language property or a task.  ...  The latter studies the role of neurons and input features in explaining decisions made by the model. We also discuss application of neuron analysis such as network manipulation and domain adaptation.  ...  A survey of the state of explainable AI for natural language processing.  ... 
arXiv:2105.08039v2 fatcat:e7mpttcbrrhrdm2mklmqxoy6km

Artificial Intelligence in Education: Teacher and Teacher Assistant Improve Learning Process

Anant Krishna Parab
2020 International Journal for Research in Applied Science and Engineering Technology  
Artificial Intelligence is a technology that plays a major role in education. Nowadays AI is a part of our daily life.  ...  Lack of human contact is the main issue with robot teachers. Robots are advanced but can't replace teachers instead of this if we can use a voice assistant as a teacher assistant.  ...  Applications of AI involves NLP (Natural Language Processing), Speech recognition. AI plays a major role in the education field. AI affects almost every branch of education.  ... 
doi:10.22214/ijraset.2020.32237 fatcat:wuxhibqobbb2fhosr7kqrzhr5a

Cognitive Systems: Toward Human-Level Functionality

Sergei Nirenburg
2017 The AI Magazine  
The purpose of this article is to present a bird's-eye view of the cognitive science research community  ...  Any opinions or findings expressed in this material are those of the author and do not necessarily reflect the views of the Office of Naval Research.  ...  Acknowledgments This research was supported in part by Grant #N00014-16-1-2118 from the US Office of Naval Research.  ... 
doi:10.1609/aimag.v38i4.2760 fatcat:r472tgkxovd7hnboeo6emlyczq

The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning [article]

Nuobei Shi, Qin Zeng, Raymond Lee
2020 arXiv   pre-print
of neural network in bionics, and explain the output sentence from language model.  ...  For academic contribution, we implement the ontology graph to explain the performance of free-style conversation, following the concept of XAI (Explainable Artificial Intelligence) to visualize the connections  ...  ACKNOWLEDGEMENTS The authors would like to thank for UIC DST for the provision of computer equipment and facilities. This project is supported by UIC research grant R202008.  ... 
arXiv:2009.13984v1 fatcat:jrt6rykpsngejnvndgjzbcfxqa

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools [article]

Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
2021 arXiv   pre-print
Thermostat allows easy access to over 200k explanations for the decisions of prominent state-of-the-art models spanning across different NLP tasks, generated with multiple explainers.  ...  In the language domain, as in other domains, neural explainability takes an ever more important role, with feature attribution methods on the forefront.  ...  This work has been supported by the German Federal Ministry of Education and Research as part of the projects XAINES (01IW20005) and CORA4NLP (01IW20010).  ... 
arXiv:2108.13961v1 fatcat:gazrqwyaj5eylhosttogwue7yu
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