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Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring

Tirthankar Dasgupta, Abir Naskar, Lipika Dey, Rupsa Saha
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/42jitthswrd3lozbbusc7y6dqu" style="color: black;">Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications</a> </i> &nbsp;
In this paper we present a qualitatively enhanced deep convolution recurrent neural network for computing the quality of a text in an automatic essay scoring task.  ...  features associated within a text document along with a hierarchical convolution recurrent neural network framework.  ...  In order to overcome the aforementioned issues, in this paper we propose a qualitatively enhanced deep convolution recurrent neural network architecture for automatic scoring of essays.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w18-3713">doi:10.18653/v1/w18-3713</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl-tea/DasguptaNDS18.html">dblp:conf/acl-tea/DasguptaNDS18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ua5xzitnkre4patbvbxo5jo6gi">fatcat:ua5xzitnkre4patbvbxo5jo6gi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190812171528/https://aclweb.org/anthology/W18-3713" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/6b/4e6b44b79e988ce877d906d2a35f3a072e913ba6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w18-3713"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automated language essay scoring systems: a literature review

Mohamed Abdellatif Hussein, Hesham Hassan, Mohammad Nassef
<span title="2019-08-12">2019</span> <i title="PeerJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zs2czkfyybggbpvr26rbyxpsjy" style="color: black;">PeerJ Computer Science</a> </i> &nbsp;
Methodology We have reviewed the existing literature using Google Scholar, EBSCO and ERIC to search for the terms "AES", "Automated Essay Scoring", "Automated Essay Grading", or "Automatic Essay" for essays  ...  The need for objective and quick scores has raised the need for a computer system that can automatically grade essay questions targeting specific prompts.  ...  Augmenting textual qualitative features in deep convolution recurrent neural network for automatic essay scoring In 2018, Dasgupta et al. (2018) proposed a Qualitatively enhanced Deep Convolution Recurrent  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.208">doi:10.7717/peerj-cs.208</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33816861">pmid:33816861</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7924549/">pmcid:PMC7924549</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/27zku2x4rrfa5kmiz2c47hglgi">fatcat:27zku2x4rrfa5kmiz2c47hglgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191115073852/https://peerj.com/articles/cs-208.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/90/80908f144bc7337478c2985383f6b7e64f2ee076.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.208"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924549" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers [article]

Fred Hohman, Minsuk Kahng, Robert Pienta, Duen Horng Chau
<span title="2018-05-14">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, because of the internal complexity and nonlinear structure of deep neural networks, the underlying decision making processes for why these models are achieving such performance are challenging  ...  Standardized toolkits for building neural networks have helped democratize deep learning; visual analytics systems have now been developed to support model explanation, interpretation, debugging, and improvement  ...  So far, the majority of work surrounds convolutional neural networks (CNNs) and image data; more recent work has begun to visualize other models, e.g., recurrent neural networks (RNNs), long shortterm  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.06889v3">arXiv:1801.06889v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5x3ftcf5fbapc5tsyhm5w2dhq">fatcat:c5x3ftcf5fbapc5tsyhm5w2dhq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200909144352/https://arxiv.org/pdf/1801.06889v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/4a/434a0aebf3522638d75614b0de1f0c2dcc1b19f1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.06889v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review [article]

Manikandan Ravikiran
<span title="2020-01-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The coverage statistics and review matrix of the survey are as shown in Figure 1 & Table 1 respectively. Acronym expansions are added in the Appendix Section 4.1.  ...  being a centralised web-based information systems where the learning content is managed and learning activities are organised (Stone and Zheng,2014) and latter focusing on using data mining techniques for  ...  KT using Deep Recurrent Neural Networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.09830v1">arXiv:2001.09830v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fwxjsrusfncjjpv4vdrglm4s2m">fatcat:fwxjsrusfncjjpv4vdrglm4s2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321123607/https://arxiv.org/ftp/arxiv/papers/2001/2001.09830.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.09830v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning: Methods and Applications

Li Deng
<span title="">2014</span> <i title="Now Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qqxcxey64vdbrpzf3zwaaw652a" style="color: black;">Foundations and Trends® in Signal Processing</a> </i> &nbsp;
[235] applied a deep recurrent auto encoder neural network to remove noise in the input features for robust speech recognition.  ...  deep neural networks or DNNs, recurrent neural networks or RNNs, convolutional neural networks or CNNs, etc.) and generative/unsupervised models (e.g., restricted Boltzmann machine or RBMs, deep belief  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1561/2000000039">doi:10.1561/2000000039</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vucffxhse5gfhgvt5zphgshjy4">fatcat:vucffxhse5gfhgvt5zphgshjy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150425062228/http://research.microsoft.com:80/pubs/219984/DeepLearningBook_RefsByLastFirstNames.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/d3/fcd37fe5de53436e7b8e5705b21e8d6bda81473b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1561/2000000039"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers [article]

Johannes Schneider and Robin Richner and Micha Riser
<span title="2022-01-02">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
By involving humans in the autograding process, we show how to improve the accuracy of automatically graded answers, achieving accuracy equivalent to that of teaching assistants.  ...  We demonstrate the effectiveness of fine-tuning transformer models for autograding for such complex datasets.  ...  Features relevant for autograding can be human-defined linguistic features, features from decompositions such as LSA, and features learnt in neural network architectures.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.03425v1">arXiv:2201.03425v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/okkrjqugivbhzmcw7sjybgihq4">fatcat:okkrjqugivbhzmcw7sjybgihq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220112044936/https://arxiv.org/pdf/2201.03425v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5d/d7/5dd75a2e27ba7d058dbfc5a1e9fadaa30886df35.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.03425v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Wim Westera, Rui Prada, Samuel Mascarenhas, Pedro A. Santos, João Dias, Manuel Guimarães, Konstantinos Georgiadis, Enkhbold Nyamsuren, Kiavash Bahreini, Zerrin Yumak, Chris Christyowidiasmoro, Mihai Dascalu (+2 others)
<span title="2019-07-30">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lpktxnov7fdo7kxofhclyj5ive" style="color: black;">Education and Information Technologies : Official Journal of the IFIP technical committee on Education</a> </i> &nbsp;
This article provides a comprehensive overview of artificial intelligence (AI) for serious games.  ...  All components have been applied and validated in serious games that were tested with real end-users.  ...  Approach The state of the art in sentiment analysis is represented by deep learning with either Convolutional Neural Networks (CVN; Kim 2014), Recurrent Neural Networks (Socher et al. 2013) , the Dependency  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10639-019-09968-2">doi:10.1007/s10639-019-09968-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sozwh55b4jbcdcyrlpj65sfunu">fatcat:sozwh55b4jbcdcyrlpj65sfunu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506075640/https://research.ou.nl/ws/files/11584984/Westera2019_Article_ArtificialIntelligenceMovingSe.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/fb/5ffbd0bd4034ccde839cf07475894eb28013de71.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10639-019-09968-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards Explainable Artificial Intelligence in Banking and Financial Services [article]

Ambreen Hanif
<span title="2021-12-14">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We adopt a typical scenario in the Banking domain for analyzing customer transactions.  ...  AI is progressing rapidly and is transforming the way businesses operate, from process automation to cognitive augmentation of tasks and intelligent process/data analytics.  ...  The main categories for the time series data set as mentioned in the study by Rotaj et al. are explanations for Convolution Neural Net- work , explanations for Recurrent Neural Network and Data mining  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.08441v1">arXiv:2112.08441v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/egl7vitsajfrreymata7tcc7zi">fatcat:egl7vitsajfrreymata7tcc7zi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211228040542/https://arxiv.org/pdf/2112.08441v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/c8/22c87ad1df630f290cb9fc0a4b4f5496d9f185ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.08441v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Towards Explainable Fact Checking [article]

Isabelle Augenstein
<span title="2021-12-08">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
These automatic methods are often content-based, using natural language processing methods, which in turn utilise deep neural networks to learn higher-order features from text in order to make predictions  ...  As deep neural networks are black-box models, their inner workings cannot be easily explained.  ...  The pkudblab system uses a deep convolutional neural network that learns to make 2-way predictions on automatically labelled positive and negative training data for Donald Trump.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10274v2">arXiv:2108.10274v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5s4an6irezcjfmvvhmiaeqarh4">fatcat:5s4an6irezcjfmvvhmiaeqarh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211210174722/https://arxiv.org/pdf/2108.10274v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8b/9c/8b9c16fca8bdafb061420ec5ce77fef53eb35595.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10274v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Cognitive Representation Learning of Self-Media Online Article Quality [article]

Yiru Wang, Shen Huang, Gongfu Li, Qiang Deng, Dongliang Liao, Pengda Si, Yujiu Yang, Jin Xu
<span title="2020-08-13">2020</span> <span class="release-stage" >pre-print</span>
, especially for the feature learning process and interactive reading habits on mobile terminals.  ...  The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search.  ...  [6] augmented different linguistic, cognitive and psychological features of text along with a hierarchical convolution recurrent neural network framework for AES. Mathias et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3394171.3413747">doi:10.1145/3394171.3413747</a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.05658v1">arXiv:2008.05658v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kiqenehgvzbozlhod7xajq42tu">fatcat:kiqenehgvzbozlhod7xajq42tu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828214811/https://arxiv.org/pdf/2008.05658v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/23/e723268fc67ae0b78253d999c7f5dbfadb57e784.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3394171.3413747"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.05658v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Pretrained Transformers for Text Ranking: BERT and Beyond

Andrew Yates, Rodrigo Nogueira, Jimmy Lin
<span title="2021-03-08">2021</span> <i title="ACM"> Proceedings of the 14th ACM International Conference on Web Search and Data Mining </i> &nbsp;
This survey provides an overview of text ranking with neural network architectures known as transformers, of which BERT is the best-known example.  ...  The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query for a particular task.  ...  However, there remain many open research questions, and thus in addition to laying out the foundations of pretrained transformers for text ranking, this survey also attempts to prognosticate where the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3437963.3441667">doi:10.1145/3437963.3441667</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6teqmlndtrgfvk5mneq5l7ecvq">fatcat:6teqmlndtrgfvk5mneq5l7ecvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716210049/https://pure.mpg.de/rest/items/item_3287344_1/component/file_3287345/content" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/1f/6f1fdd10b2db028d7695d3b3c9748f030b201888.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3437963.3441667"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner

Emmanuel Dupoux
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wwxrdovfqrafvnk7lbwpujzttq" style="color: black;">Cognition</a> </i> &nbsp;
Wearable sensors can capture vast amounts of data, which enable the reconstruction of the sensory experience of infants in their natural environment.  ...  Recently, spectacular progress in the engineering science, notably, machine learning and wearable technology, offer the promise of revolutionizing the study of cognitive development.  ...  (the multi-layer perceptron, backpropagration training, convolutional networks, recurrent networks: Rumelhart & McClelland, 1986; Elman, 1990) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cognition.2017.11.008">doi:10.1016/j.cognition.2017.11.008</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29324240">pmid:29324240</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2tjqez2gerdoxh5rn2nxb27pti">fatcat:2tjqez2gerdoxh5rn2nxb27pti</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504172544/https://hal.archives-ouvertes.fr/hal-01888694/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/38/db387f53ccf26c13772345f90caadd601f554bb3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cognition.2017.11.008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems [article]

Sina Mohseni and Niloofar Zarei and Eric D. Ragan
<span title="2020-08-05">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Further, we provide summarized ready-to-use tables of evaluation methods and recommendations for different goals in XAI research.  ...  The need for interpretable and accountable intelligent systems grows along with the prevalence of artificial intelligence applications used in everyday life.  ...  ACKNOWLEDGMENTS The authors would like to thank anonymous reviewers for their helpful comments on earlier versions of this manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.11839v5">arXiv:1811.11839v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pl4mmtd2zzhipilebnc2khagu4">fatcat:pl4mmtd2zzhipilebnc2khagu4</a> </span>
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Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference. Riga, 20–23 October 2020 [article]

Sanita Reinsone, Anda Baklāne, Jānis Daugavietis
<span title="2020-10-19">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Book of Abstracts DHN, Rīga 2020 Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference.  ...  Acknowledgements We thank the Fritz Thyssen Foundation for their funding for the research project Distant Viewing.  ...  We thank the Staatsbibliothek Berlin for providing access to the Wegehaupt collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4107117">doi:10.5281/zenodo.4107117</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ongky6p5rab7gvtawnjmp2ofm">fatcat:6ongky6p5rab7gvtawnjmp2ofm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201024100150/https://zenodo.org/record/4107117/files/DHN2020-Book-of-Abstracts.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/c6/75c6a13d3cc3b9bf900bfc67a3e272073b5f7815.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4107117"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Document-level sentiment analysis of email data

Sisi Liu
<span title="">2020</span>
-Word embedding is an essential and basic feature for deep neural network models.  ...  -CNN (Kim, 2014) : A classic variant of deep neural networks that captures features using convolutional filters with weights and bias.  ...  Bidirectional LSTM The LSTM network (Hochreiter and Schmidhuber, 1997) is an extended variant of a traditional feed-forward neural network. The most apparent advantage of LSTM 6.3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25903/jmyc-5691">doi:10.25903/jmyc-5691</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dowyu56lknacblba67i2v7jqzq">fatcat:dowyu56lknacblba67i2v7jqzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201215035509/https://researchonline.jcu.edu.au/65310/1/JCU_65310_liu_s_thesis_2020.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f5/23/f523c77167f4a8a65510ae55b850715c700a0f48.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25903/jmyc-5691"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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