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Estimating the Quality of Articles in Russian Wikipedia Using the Logical-Linguistic Model of Fact Extraction [chapter]

Nina Khairova, Włodzimierz Lewoniewski, Krzysztof Węcel
<span title="">2017</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/noh4d7uktraolega74eilgfv5u" style="color: black;">Lecture Notes in Business Information Processing</a> </i> &nbsp;
We present the method of estimating the quality of articles in Russian Wikipedia that is based on counting the number of facts in the article.  ...  For calculating the number of facts we use our logical-linguistic model of fact extraction. Basic mathematical means of the model are logical-algebraic equations of the finite predicates algebra.  ...  In order to estimate the quality of articles in Russian Wikipedia based on our logical-linguistic model of fact extraction, we focus on two approaches.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-59336-4_3">doi:10.1007/978-3-319-59336-4_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mqxd5bsjmneivj3if3av6gyade">fatcat:mqxd5bsjmneivj3if3av6gyade</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219203638/http://pdfs.semanticscholar.org/1aa2/271c2a5fe2f7c69556334c4cf8b6e008c0ef.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/1a/a2/1aa2271c2a5fe2f7c69556334c4cf8b6e008c0ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-59336-4_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark [article]

Tatiana Shavrina and Alena Fenogenova and Anton Emelyanov and Denis Shevelev and Ekaterina Artemova and Valentin Malykh and Vladislav Mikhailov and Maria Tikhonova and Andrey Chertok and Andrey Evlampiev
<span title="2020-11-02">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Besides, we present the first results of comparing multilingual models in the adapted diagnostic test set and offer the first steps to further expanding or assessing state-of-the-art models independently  ...  Recent advances in the field of universal language models and transformers require the development of a methodology for their broad diagnostics and testing for general intellectual skills - detection of  ...  Acknowledgements Ekaterina Artemova works within the framework of the HSE University Basic Research Program and funded by the Russian Academic Excellence Project "5-100".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.15925v2">arXiv:2010.15925v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r6ix3d53ovgzpfcnwariv5fxiu">fatcat:r6ix3d53ovgzpfcnwariv5fxiu</a> </span>
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Bringing Math to LOD: A Semantic Publishing Platform Prototype for Scientific Collections in Mathematics [chapter]

Olga Nevzorova, Nikita Zhiltsov, Danila Zaikin, Olga Zhibrik, Alexander Kirillovich, Vladimir Nevzorov, Evgeniy Birialtsev
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some  ...  To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation.  ...  in Russian/English; -a language-independent method for extraction of the logical structure elements; -a method for extraction of mathematical named entities from texts in Russian; -a method that connects  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-41335-3_24">doi:10.1007/978-3-642-41335-3_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zmk25z2xhzejnldlsrsauxcivy">fatcat:zmk25z2xhzejnldlsrsauxcivy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502152300/https://link.springer.com/content/pdf/10.1007%2F978-3-642-41335-3_24.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/6f/10/6f10b5dac85693cecbd373cc4fd44005de634a7d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-41335-3_24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Logical-Linguistic Model for Multilingual Open Information Extraction

Nina Khairova, Orken Mamyrbayev, Kuralay Mukhsina, Anastasiia Kolesnyk, Saurabh Pratap
<span title="2020-01-14">2020</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3traqp2nfrhnjbxyafpoa3gk6i" style="color: black;">Cogent Engineering</a> </i> &nbsp;
In this paper, we suggest the logical-linguistic model, which basic mathematical means are logical-algebraic equations of finite predicates algebra.  ...  The use of our model allows extracting the facts from unstructured texts without requiring a pre-specified vocabulary, by identifying relations in phrases and associated arguments in arbitrary sentences  ...  Obviously, that greater precision is achieved with the implementation of the model for the English language, and the lowest with the using the model for extraction of the facts in the Kazakh corpus.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/23311916.2020.1714829">doi:10.1080/23311916.2020.1714829</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3xqze6vxtbg4zl4ibovpbafo7u">fatcat:3xqze6vxtbg4zl4ibovpbafo7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428030546/http://repository.kpi.kharkov.ua/bitstream/KhPI-Press/49770/1/CE_2020_7_Khairova_Logical-linguistic_model.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/67/14/67148060e5ebe0cb85677a47af080ab200c91ff0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/23311916.2020.1714829"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> tandfonline.com </button> </a>

Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus

Mohamad Mehdi, Chitu Okoli, Mostafa Mesgari, Finn Årup Nielsen, Arto Lanamäki
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
Augmenting the modeling of documents by using Wikipedia related articles enriches the features used in the classification process.  ...  In fact, we borrow our main categorization of the articles we present here from the structure of their review.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2016.07.003">doi:10.1016/j.ipm.2016.07.003</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qgjeatizfzbyjkbo4rsuxea76y">fatcat:qgjeatizfzbyjkbo4rsuxea76y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426105424/http://orbit.dtu.dk/files/127258892/WikilitCorpus_IP_M_Rev3.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/f9/5c/f95c2ae6a7b11f3e5db731aa527379eadc3b2477.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2016.07.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources

Ekaterina Chernyak, Boris Mirkin
<span title="">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l3ypgeawxrc6xce2c3uboif52a" style="color: black;">Annals of Data Science</a> </i> &nbsp;
On the next steps, the frame is refined at a chosen topic using the Wikipedia category tree and articles, both cleaned of noise.  ...  The resulting fragment of taxonomy consists of three parts: the manually set upper layer topic, the adopted part of the Wikipedia category tree and Wikipedia articles as leaves.  ...  Extract relevant keywords from Wikipedia articles and use them as leaf descriptors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-015-0032-1">doi:10.1007/s40745-015-0032-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ndhrwhgl5zg3fhqyeh5msznuru">fatcat:ndhrwhgl5zg3fhqyeh5msznuru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830213709/https://link.springer.com/content/pdf/10.1007/s40745-015-0032-1.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/83/9e/839eaea900171673a63b449789d2d1ae3ddbbeb7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-015-0032-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Collaboratively built semi-structured content and Artificial Intelligence: The story so far

Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/weoplee4x5anpi62cco5v4higa" style="color: black;">Artificial Intelligence</a> </i> &nbsp;
Special thanks go to Jim McManus and all reviewers who contributed valuable feedback and ensured the papers contained in this special issue were of the highest quality.  ...  Finally, we thank the Artificial Intelligence Journal Editors-in-Chief, Tony Cohn, Rina Dechter and Ray Perrault, for their continued support throughout the preparation of this special issue.  ...  The sequence of different revisions of a Wikipedia article, called its revision history, provides a very large dataset of linguistic data, which can be used to model how documents evolve through time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artint.2012.10.002">doi:10.1016/j.artint.2012.10.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mwk5o254urb2dejsh7c224uu3q">fatcat:mwk5o254urb2dejsh7c224uu3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810202637/http://wwwusers.di.uniroma1.it/~navigli/pubs/AIJ_2012_Hovy_Navigli_Ponzetto.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/61/31/6131a27718f97a310e43df6a950284d3a793f5f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artint.2012.10.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension [article]

Anna Rogers, Matt Gardner, Isabelle Augenstein
<span title="2021-07-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Alongside huge volumes of research on deep learning models in NLP in the recent years, there has been also much work on benchmark datasets needed to track modeling progress.  ...  We further discuss the current classifications of "reasoning types" in question answering and propose a new taxonomy.  ...  The degree to which humans can use explanations to evaluate the quality of the model also varies depending on the model quality and prior belief bias [93] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.12708v1">arXiv:2107.12708v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sfwmrimlgfg4xkmmca6wspec7i">fatcat:sfwmrimlgfg4xkmmca6wspec7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210730181705/https://arxiv.org/pdf/2107.12708v1.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/e6/64/e664ebd9a480727bc1d2ca4f8ff2864cf8533430.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.12708v1" 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>

Identifier Namespaces in Mathematical Notation [article]

Alexey Grigorev
<span title="2016-01-13">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The algorithms are evaluated on the English Wikipedia, and the proposed method can extract namespaces on a variety of topics.  ...  We also apply it to the Russian Wikipedia, and the results are consistent across the languages.  ...  Acknowledgements Article (Original name)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1601.03354v1">arXiv:1601.03354v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6nfdioimozdapa2accwzxx2g3a">fatcat:6nfdioimozdapa2accwzxx2g3a</a> </span>
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Transfer language selection for zero-shot cross-lingual abusive language detection

Juuso Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, Michal Wroczynski
<span title="">2022</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
We measure the distance between the languages using several language similarity measures, especially by quantifying the World Atlas of Language Structures.  ...  We study the selection of transfer languages for automatic abusive language detection.  ...  There are some existing metrics that can be used to estimate the similarity between languages by using linguistic features [22, 23, 24] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2022.102981">doi:10.1016/j.ipm.2022.102981</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/42ofi5ecnvaoxcxxjbrzzozh3m">fatcat:42ofi5ecnvaoxcxxjbrzzozh3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220603011003/https://arxiv.org/ftp/arxiv/papers/2206/2206.00962.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/bc/8b/bc8bfe3f6932b591901ecb4cf24d07ffbaa8ddfd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2022.102981"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Digital vitality of Uralic languages

Judit Ács, Katalin Pajkossy, András Kornai
<span title="">2017</span> <i title="Akademiai Kiado Zrt."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/weaf53hdhffkpev2jq3u6xrrjm" style="color: black;">Acta Linguistica Academica</a> </i> &nbsp;
We investigate the digital vitality of Uralic languages and dialects, and discuss how existing approaches to language revitalization relate to this model.  ...  Acknowledgements We would like to thank Marianne Bakró-Nagy (HAS Research Institute for Linguistics), Johanna Domokos (Universität Bielefeld), and Anna Fenyvesi (University of Szeged) for advice on the  ...  Kornai is grateful to the organizers of IWCLUL2 for giving him the opportunity to give the keynote address whose final version appears here.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1556/2062.2017.64.3.1">doi:10.1556/2062.2017.64.3.1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iojfn34g3bes3bhgimdsjaxny4">fatcat:iojfn34g3bes3bhgimdsjaxny4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190715051252/https://www.kornai.com/Papers/uralic.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/9e/26/9e266f8393ada79b17172ba3b22236a6f842591c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1556/2062.2017.64.3.1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Learning a Large Scale of Ontology from Japanese Wikipedia

Susumu Tamagawa, Shinya Sakurai, Takuya Tejima, Takeshi Morita, Noriaki Izumi, Takahira Yamaguchi
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3p37zxdckrfqna7l5w5hlafps4" style="color: black;">2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology</a> </i> &nbsp;
Experimental case studies show us that the learned Japanese Wikipedia Ontology goes better than already existing general linguistic ontologies, such as EDR and Japanese WordNet, from the points of building  ...  Here is discussed how to learn a large scale of ontology from Japanese Wikipedia.  ...  This method focuses on the fact that it is easy to extract is-a relationships when the terms "class" and "type" are included in the table of contents of Japanese Wikipedia articles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2010.177">doi:10.1109/wi-iat.2010.177</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/webi/TamagawaSTMIY10.html">dblp:conf/webi/TamagawaSTMIY10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/663ocy7nqrhh5fs7da3h6mkgpa">fatcat:663ocy7nqrhh5fs7da3h6mkgpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721175106/http://www.yamaguti.comp.ae.keio.ac.jp/~s_tamagawa/publication/wiiat2010_279.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/34/78/34780a588f3f9e235fc773f1264861e58a580dd8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2010.177"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey on non-English Question Answering Dataset [article]

Andreas Chandra, Affandy Fahrizain, Ibrahim, Simon Willyanto Laufried
<span title="2021-12-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Research in question answering datasets and models has gained a lot of attention in the research community. Many of them release their own question answering datasets as well as the models.  ...  In this paper, we review question answering datasets that are available in common languages other than English such as French, German, Japanese, Chinese, Arabic, Russian, as well as the multilingual and  ...  Lately, (Risch and Pietsch, 2017) released GermanQuAD dataset consisting of 13722 extractive QA pairs mined from German version of English Wikipedia articles used in SQuAD.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.13634v1">arXiv:2112.13634v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l2dvllft35ga7b3tfjy6tgxcda">fatcat:l2dvllft35ga7b3tfjy6tgxcda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220105112831/https://arxiv.org/ftp/arxiv/papers/2112/2112.13634.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/bc/4b/bc4b9a850f5e34a0f34d7aab80eacc771683b05d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.13634v1" 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>

Neural Argument Generation Augmented with Externally Retrieved Evidence

Xinyu Hua, Lu Wang
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</a> </i> &nbsp;
Our model first generates a set of talking point phrases as intermediate representation, followed by a separate decoder producing the final argument based on both input and the keyphrases.  ...  In this work, we study a novel task on automatically generating arguments of a different stance for a given statement.  ...  We thank three anonymous reviewers for their insightful suggestions on various aspects of this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-1021">doi:10.18653/v1/p18-1021</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/WangH18.html">dblp:conf/acl/WangH18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vwbdm7fs2vehpb65bmesptrr2u">fatcat:vwbdm7fs2vehpb65bmesptrr2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200509001512/https://www.aclweb.org/anthology/P18-1021.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/d5/b3/d5b31e0d6de7fc016b47fee9661279f069eda760.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-1021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Cross-Linguistic Syntactic Evaluation of Word Prediction Models [article]

Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
<span title="2020-05-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To investigate how these models' ability to learn syntax varies by language, we introduce CLAMS (Cross-Linguistic Assessment of Models on Syntax), a syntactic evaluation suite for monolingual and multilingual  ...  We use CLAMS to evaluate LSTM language models as well as monolingual and multilingual BERT.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the other supporting  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.00187v2">arXiv:2005.00187v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zhlwi3wcwnb2lg5n3xcnmwb5de">fatcat:zhlwi3wcwnb2lg5n3xcnmwb5de</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200527231915/https://arxiv.org/pdf/2005.00187v2.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/2005.00187v2" 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>
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