Filters








23 Hits in 9.7 sec

Word2vec Based System for Recognizing Partial Textual Entailment

Martin Víta, Vincent Kríž
<span title="2016-10-02">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zbznsfsymfchdlmdsmo2bglth4" style="color: black;">Proceedings of the 2016 Federated Conference on Computer Science and Information Systems</a> </i> &nbsp;
Recognizing textual entailment is typically considered as a binary decision task -whether a text T entails a hypothesis H.  ...  This paper presents an attempt to use word2vec model for recognizing partial (faceted) textual entailment.  ...  ACKNOWLEDGMENT The second author was supported by SVV -specific academic research -reg. no.: 260 333, which is funded by the Charles University in Prague.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15439/2016f419">doi:10.15439/2016f419</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fedcsis/VitaK16.html">dblp:conf/fedcsis/VitaK16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pbmp5szxzjcbdnwimkhcanmyhi">fatcat:pbmp5szxzjcbdnwimkhcanmyhi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180424082612/https://annals-csis.org/Volume_8/pliks/419.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/ed/5d/ed5dff0498bda2f8ae012e0a64b5dc27d0b14d87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15439/2016f419"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Joint Multi-Domain Learning for Automatic Short Answer Grading [article]

Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter Foltz, Renuka Sindhgatta, Bikram Sengupta
<span title="2019-02-25">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We observe that unlike typical textual similarity or entailment tasks, the notion of similarity is not universal here.  ...  One of the fundamental challenges towards building any intelligent tutoring system is its ability to automatically grade short student answers.  ...  SemEval-2013 [8] Dataset This benchmarking dataset was released as part of the SemEval-2013 Shared Task 7 on "The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.09183v1">arXiv:1902.09183v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/crodagx6qvbgjgyvhcqpuhhhme">fatcat:crodagx6qvbgjgyvhcqpuhhhme</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930144422/https://arxiv.org/pdf/1902.09183v1.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/e6/a3/e6a38496074dcee868462aa06e86febdec4bd81d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.09183v1" 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>

A Survey on Recognizing Textual Entailment as an NLP Evaluation [article]

Adam Poliak
<span title="2020-10-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recognizing Textual Entailment (RTE) was proposed as a unified evaluation framework to compare semantic understanding of different NLP systems.  ...  In this survey paper, we provide an overview of different approaches for evaluating and understanding the reasoning capabilities of NLP systems.  ...  Patrick Xia and Elias Stengel-Eskin for feedback on this draft, and Yonatan Belinkov and Sasha Rush for the encouragement to write a survey on RTE.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.03061v1">arXiv:2010.03061v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfmgkh4ginalzauawlqdbkb6pq">fatcat:jfmgkh4ginalzauawlqdbkb6pq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201009003442/https://arxiv.org/pdf/2010.03061v1.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/2010.03061v1" 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>

Interpretable semantic textual similarity: Finding and explaining differences between sentences

I. Lopez-Gazpio, M. Maritxalar, A. Gonzalez-Agirre, G. Rigau, L. Uria, E. Agirre
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w5jcgie76rehrmy3uf2hriydla" style="color: black;">Knowledge-Based Systems</a> </i> &nbsp;
When evaluated on the dataset, the system performs better than an informed baseline, showing that the dataset and task are well-defined and feasible.  ...  This paper focuses on adding an in- terpretable layer on top of Semantic Textual Similarity (STS), which measures the degree of semantic equivalence between two sentences.  ...  Other related work includes a SemEval task related to tutoring systems that automatically score student answers, the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge (Dzikovska  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.knosys.2016.12.013">doi:10.1016/j.knosys.2016.12.013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2shrh743fjh6vftfhjiqnlvzfa">fatcat:2shrh743fjh6vftfhjiqnlvzfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907055604/https://arxiv.org/pdf/1612.04868v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/b5/94b5c41ccc1566262d5cbfc9664731ebdaa08dee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.knosys.2016.12.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

The Influence of Variance in Learner Answers on Automatic Content Scoring

Andrea Horbach, Torsten Zesch
<span title="2019-04-04">2019</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kcfm7c53ezacnpbgxaq775wy3q" style="color: black;">Frontiers in Education</a> </i> &nbsp;
We then compare the two main paradigms in content scoring: (i) similarity-based and (ii) instance-based methods, and discuss how well they can deal with each of the variance-inducing factors described  ...  The difficulty of automatically scoring such texts varies according to the variance within the learner answers.  ...  The influence of different label sets was already tested in previous work, especially in the SemEval Shared Task "The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge"  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/feduc.2019.00028">doi:10.3389/feduc.2019.00028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xzw4dwqfwfhixec6eaofkqukcy">fatcat:xzw4dwqfwfhixec6eaofkqukcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215085642/https://fjfsdata01prod.blob.core.windows.net/articles/files/441559/pubmed-zip/.versions/1/.package-entries/feduc-04-00028/feduc-04-00028.pdf?sv=2015-12-11&amp;sr=b&amp;sig=lL%2BQrJMXdxFBWoNIl5xg%2F2xNJqLTeEd525Y%2F3efofNg%3D&amp;se=2020-02-15T08%3A57%3A11Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27feduc-04-00028.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/b1/90/b1908604ed330c8952c0d587d20644ececb4b444.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/feduc.2019.00028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring

Jiaqi Lun, Jia Zhu, Yong Tang, Min Yang
<span title="2020-04-03">2020</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a> </i> &nbsp;
Meanwhile, the Bidirectional Encoder Representations from Transformers (BERT) model has been shown to be effective for improving many natural language processing tasks, which acquires more semantic, grammatical  ...  and other features in large amounts of unsupervised data, and actually adds external knowledge.  ...  Acknowledgements This work is supported by the National Natural Science Foundation of China (U1811263) and the Guangzhou Key Laboratory of Big Data and Intelligent Education (201905010009).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i09.7062">doi:10.1609/aaai.v34i09.7062</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l4sc6lqaqvdn5oui6x5bgape7i">fatcat:l4sc6lqaqvdn5oui6x5bgape7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103173455/https://aaai.org/ojs/index.php/AAAI/article/download/7062/6916" 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/1d/1a/1d1ad918cf5f2d4418c283ceb0d36d88629d38c4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i09.7062"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Investigating neural architectures for short answer scoring

Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nl6giaap3jbj7g4lipzi4jvbbq" style="color: black;">Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications</a> </i> &nbsp;
The inputs to neural essay scoring models -ngrams and embeddings -are arguably well-suited to evaluate content in short answer scoring tasks.  ...  The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, organization, and conventions.  ...  Part of this work was funded by the German Federal Ministry of Education and Research under grant no. FKZ 01PL16075.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-5017">doi:10.18653/v1/w17-5017</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bea/RiordanHCZL17.html">dblp:conf/bea/RiordanHCZL17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4og37gnarfb4tcjznbs6hey7l4">fatcat:4og37gnarfb4tcjznbs6hey7l4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200309085917/https://www.aclweb.org/anthology/W17-5017.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/12/6b/126b6ba3957310f07a5a5e19a515e39ffcf0b011.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w17-5017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring [article]

Derrick Higgins, Chris Brew, Michael Heilman, Ramon Ziai, Lei Chen, Aoife Cahill, Michael Flor, Nitin Madnani, Joel Tetreault, Daniel Blanchard, Diane Napolitano, Chong Min Lee, John Blackmore
<span title="2014-03-05">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper aims to introduce the NLP community to the largest corpus currently available for short-answer scoring, provide an overview of methods used in the shared task using this data, and explore the  ...  engineering approach and those that almost solely leverage lexical information (as opposed to higher-level syntactic information) in assigning a score to a given response.  ...  One of these is the "Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge" at SEMEVAL-2013, which added a new corpus of student answers from the tutorial dialog context to the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1403.0801v2">arXiv:1403.0801v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xq47syhu3vhhniadqyyu2qvqgi">fatcat:xq47syhu3vhhniadqyyu2qvqgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200913195109/https://arxiv.org/pdf/1403.0801v2.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/e5/49/e54976f17a2ef75d6f710342fb5d68f5d9a3814d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1403.0801v2" 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>

Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)

Elena Cabrio, Graeme Hirst, Serena Villata, Adam Wyner, Marc Herbstritt
<span title="2016-10-12">2016</span> <i title="Schloss Dagstuhl Leibniz-Zentrum für Informatik GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u2phfyhrhje7xnnubtp3vfklcu" style="color: black;">Dagstuhl Reports</a> </i> &nbsp;
The seminar brought together leading researchers from computational linguistics, argumentation theory and cognitive psychology communities to discuss the obtained results and the future challenges of the  ...  This report documents the program and the outcomes of Dagstuhl Seminar 16161 "Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments", 17-22 April 2016.  ...  This work is supported by the Natural Sciences and Engineering Research Council of Canada and by the Social Sciences and Humanities Research Council.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4230/dagrep.6.4.80">doi:10.4230/dagrep.6.4.80</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/dagstuhl-reports/CabrioHVW16.html">dblp:journals/dagstuhl-reports/CabrioHVW16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qycza5veojckzpnzpkdt5lrev4">fatcat:qycza5veojckzpnzpkdt5lrev4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220123034310/https://drops.dagstuhl.de/opus/volltexte/2016/6692/pdf/dagrep_v006_i004_p080_s16161.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/11/cd/11cdfb1ba6781fae6c4fb145ef0f8999f5639a82.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4230/dagrep.6.4.80"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Arabic Short Answer Scoring with Effective Feedback for Students

Wael HassanGomaa, Aly Aly Fahmy
<span title="2014-01-16">2014</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
feedback to student and also introduce a new benchmark Arabic data set that contains 50 questions and 600 student answers.  ...  In this paper, we explore text similarity techniques for the task of automatic short answer scoring in Arabic language.  ...  A substantial amount of work has recently been performed in short-answer grading at the SemEval-2013 task #7:The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge [12] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/14961-3177">doi:10.5120/14961-3177</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l74k7pumf5f3jm22lrlb65km2a">fatcat:l74k7pumf5f3jm22lrlb65km2a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706140954/http://research.ijcaonline.org/volume86/number2/pxc3893177.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/22/6d/226d280519bd29f7f7d44ca2a00d69dd5c526983.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/14961-3177"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis [article]

Johannes Bjerva
<span title="2017-11-03">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This thesis deals with the intersection of learning multiple tasks and learning multiple languages in the context of Natural Language Processing (NLP), which can be defined as the study of computational  ...  However, recent advances allow for broadening this approach, by considering data for multiple tasks and languages simultaneously.  ...  ., and Nissim, M. (2014). The meaning factory: Formal semantics for recognizing textual entailment and determining semantic similarity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.01100v1">arXiv:1711.01100v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/njotlhapbjggxkfndwa3wkwg4q">fatcat:njotlhapbjggxkfndwa3wkwg4q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191013022843/https://arxiv.org/pdf/1711.01100v1.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/98/c0/98c039d21f92ae2942f9ef5764432a3d63fc0763.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.01100v1" 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>

A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets

Changchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu
<span title="2020-10-29">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
of MRC tasks with 4 different attributes; (2) we summarized 9 evaluation metrics of MRC tasks, 7 attributes and 10 characteristics of MRC datasets; (3) We also discuss key open issues in MRC research  ...  To address the current lack of comprehensive survey of existing MRC tasks, evaluation metrics, and datasets, herein, (1) we analyze 57 MRC tasks and datasets and propose a more precise classification method  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10217640">doi:10.3390/app10217640</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e6rioqqdnbdqpimpxzvowhgv7a">fatcat:e6rioqqdnbdqpimpxzvowhgv7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201101021932/https://res.mdpi.com/d_attachment/applsci/applsci-10-07640/article_deploy/applsci-10-07640.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/e6/01/e601fc907330e28588a10a1a08023ce07c3c601b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10217640"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets [article]

Changchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu
<span title="2020-10-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
of MRC tasks with 4 different attributes; (2) we summarized 9 evaluation metrics of MRC tasks, 7 attributes and 10 characteristics of MRC datasets; (3) We also discuss key open issues in MRC research  ...  To address the current lack of comprehensive survey of existing MRC tasks, evaluation metrics, and datasets, herein, (1) we analyze 57 MRC tasks and datasets and propose a more precise classification method  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.11880v2">arXiv:2006.11880v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/auup4gvsuzf4dkjb2n6nzyfl3m">fatcat:auup4gvsuzf4dkjb2n6nzyfl3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201026191022/https://arxiv.org/pdf/2006.11880v2.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/32/e3/32e30cc47a1fc4e3491c7e5012c7bafa2db15892.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.11880v2" 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>

Exploiting Social Networks. Technological Trends (Habilitation Thesis) [article]

Adrian Iftene
<span title="2020-04-30">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The work was validated with good results in evaluation campaigns like CLEF (Question Answering, Image CLEF, LifeCLEF, etc.), SemEval (Sentiment and Emotion in text, Anorexia, etc.).  ...  The habilitation thesis presents two main directions: 1.  ...  Acknowledgments To my collaborators and to my family  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.14386v1">arXiv:2004.14386v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/faoyxt42e5b5no57v6r5arnu5a">fatcat:faoyxt42e5b5no57v6r5arnu5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830033750/https://arxiv.org/ftp/arxiv/papers/2004/2004.14386.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/c8/fd/c8fd2673086713f42551dd23e24da63372dbdfec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.14386v1" 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>

Low-Resource Adaptation of Neural NLP Models [article]

Farhad Nooralahzadeh
<span title="2020-11-09">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, in real-world applications of NLP, the textual resources vary across several dimensions, such as language, dialect, topic, and genre.  ...  It is challenging to find annotated data of sufficient amount and quality.  ...  K. and Dutnais, S. T. (1997). "A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.04372v1">arXiv:2011.04372v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/626mbe5ba5bkdflv755o35u5pq">fatcat:626mbe5ba5bkdflv755o35u5pq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201114015834/https://arxiv.org/pdf/2011.04372v1.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/f1/ee/f1ee77cb3164c8841c5c0cb516003756f0716e08.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.04372v1" 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>
&laquo; Previous Showing results 1 &mdash; 15 out of 23 results