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Hierarchical Neural Story Generation

Angela Fan, Mike Lewis, Yann Dauphin
<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 dataset enables hierarchical story generation, where the model first generates a premise, and then transforms it into a passage of text.  ...  Human judges prefer stories generated by our approach to those from a strong non-hierarchical model by a factor of two to one.  ...  I said Table 5 : Example stories generated by the proposed hierarchical fusion approach compared to stories generated by a language model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-1082">doi:10.18653/v1/p18-1082</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/LewisDF18.html">dblp:conf/acl/LewisDF18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jxg5shijybhuzntwpdksdxmoui">fatcat:jxg5shijybhuzntwpdksdxmoui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505130549/https://www.aclweb.org/anthology/P18-1082.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/f3/f5f3d27a4e98f72f976513da31a87b1d6b2a04b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-1082"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Hierarchical Neural Story Generation [article]

Angela Fan, Mike Lewis, Yann Dauphin
<span title="2018-05-13">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our dataset enables hierarchical story generation, where the model first generates a premise, and then transforms it into a passage of text.  ...  Human judges prefer stories generated by our approach to those from a strong non-hierarchical model by a factor of two to one.  ...  I said Table 5 : Example stories generated by the proposed hierarchical fusion approach compared to stories generated by a language model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.04833v1">arXiv:1805.04833v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bzodwbsrkvaazfk3kblokz5csq">fatcat:bzodwbsrkvaazfk3kblokz5csq</a> </span>
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Learning to Predict Explainable Plots for Neural Story Generation [article]

Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun
<span title="2019-12-06">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we propose a latent variable model for neural story generation.  ...  While the use of neural networks has proven effective in improving story generation, how to learn to generate an explainable high-level plot still remains a major challenge.  ...  Related Work Our work is closely related to two lines of research: hierarchical neural story generation and variational neural networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.02395v2">arXiv:1912.02395v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gjsny2cpjrccdjrjrq7fmbhs6q">fatcat:gjsny2cpjrccdjrjrq7fmbhs6q</a> </span>
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Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features

Emiru Tsunoo, Ondrej Klejch, Peter Bell, Steve Renals
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nhsxk6diafcb5cix6v2tg7kcdu" style="color: black;">2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)</a> </i> &nbsp;
We capture the topic structure using a hierarchical model based on a Recurrent Neural Network (RNN) sentence modeling layer and a bidirectional Long Short-Term Memory (LSTM) topic modeling layer, with  ...  A broadcast news stream consists of a number of stories and it is an important task to find the boundaries of stories automatically in news analysis.  ...  STORY SEGMENTATION WITH RECURRENT NEURAL NETWORK General Formulation of Story Segmentation Broadcast news consists of various topics and the story segmentation task is to find boundaries between the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2017.8268981">doi:10.1109/asru.2017.8268981</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/asru/TsunooK0R17.html">dblp:conf/asru/TsunooK0R17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hmtceo4fdra5tac3tgptm5uylm">fatcat:hmtceo4fdra5tac3tgptm5uylm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720112735/https://www.pure.ed.ac.uk/ws/files/44898997/ASRU2017Tsunoo_v7.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/de/92/de9232582ecbd4a1dcde9e1ccb81d73dfff6abcb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/asru.2017.8268981"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Character-Centric Neural Model for Automated Story Generation

Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan
<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;
Automated story generation is a challenging task which aims to automatically generate convincing stories composed of successive plots correlated with consistent characters.  ...  Most recent generation models are built upon advanced neural networks, e.g., variational autoencoder, generative adversarial network, convolutional sequence to sequence model.  ...  Hierarchical Convolution Sequence Model (Hierarchical).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i02.5536">doi:10.1609/aaai.v34i02.5536</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/islx7rb47zdi5pswh3dq5ajoa4">fatcat:islx7rb47zdi5pswh3dq5ajoa4</a> </span>
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Commentary: The Value of Failure in Science: The Story of Grandmother Cells in Neuroscience

Asim Roy
<span title="2020-02-05">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a> </i> &nbsp;
be found at the single cell level; (5) that the framework of convergent, hierarchical, and localized signal integration has not been successful; (6) however, even after this general characterization,  ...  and localization and convergence in neural hierarchical processing; (3) that localization as a paradigm continues to persist; (4) that according to Marr (1982) , answers about mind and brain could not  ...  be found at the single cell level; (5) that the framework of convergent, hierarchical, and localized signal integration has not been successful; (6) however, even after this general characterization,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnins.2020.00059">doi:10.3389/fnins.2020.00059</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32116507">pmid:32116507</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7025548/">pmcid:PMC7025548</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57ksap2axnhu5j77hv4labr2fm">fatcat:57ksap2axnhu5j77hv4labr2fm</a> </span>
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THEaiTRE: Artificial Intelligence to Write a Theatre Play [article]

Rudolf Rosa, Ondřej Dušek, Tom Kocmi, David Mareček, Tomáš Musil, Patrícia Schmidtová, Dominik Jurko, Ondřej Bojar, Daniel Hrbek, David Košťák, Martina Kinská, Josef Doležal (+1 others)
<span title="2020-06-25">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We plan to adopt generative neural language models and hierarchical generation approaches, supported by summarization and machine translation methods, and complemented with a human-in-the-loop approach  ...  We present THEaiTRE, a starting project aimed at automatic generation of theatre play scripts. This paper reviews related work and drafts an approach we intend to follow.  ...  Multiple authors attempt to increase long-term coherence by hierarchical story generation. Fan et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.14668v1">arXiv:2006.14668v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oxnihv756fcrjnued74i4mv4ly">fatcat:oxnihv756fcrjnued74i4mv4ly</a> </span>
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Hierarchical Attention Model for Improved Machine Comprehension of Spoken Content [article]

Wei Fang, Jui-Yang Hsu, Hung-yi Lee, Lin-Shan Lee
<span title="2017-01-01">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
An Attention-based Multi-hop Recurrent Neural Network (AMRNN) architecture was also proposed for this task, which considered only the sequential relationship within the speech utterances.  ...  In this paper, we propose a new Hierarchical Attention Model (HAM), which constructs multi-hopped attention mechanism over tree-structured rather than sequential representations for the utterances.  ...  HIERARCHICAL ATTENTION MODEL (HAM) The proposed Hierarchical Attention Model (HAM) is shown in Fig. 2 in the form matched to the TOEFL task.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.07775v3">arXiv:1608.07775v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dz3zykliy5hfzdwdtgkopvqmue">fatcat:dz3zykliy5hfzdwdtgkopvqmue</a> </span>
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Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network

Seunghyun Yoon, Kunwoo Park, Minwoo Lee, Taegyun Kim, Meeyoung Cha, Kyomin Jung
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Our model, called the graph-based hierarchical dual encoder (GHDE), utilizes a graph neural network to efficiently learn the content similarity between news headlines and long body paragraphs.  ...  INDEX TERMS Graph neural network, headline incongruity, online misinformation. VOLUME 9, 2021 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.  ...  We generate two types of datasets: one where the 'sample' news stories are randomly chosen (i.e., Random dataset) and one in which 'sample' news stories are chosen to contain the similar news stories (  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3062029">doi:10.1109/access.2021.3062029</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ofvxdckim5byviccbxjkk633iy">fatcat:ofvxdckim5byviccbxjkk633iy</a> </span>
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A Hierarchical Approach for Visual Storytelling Using Image Description [article]

Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, and Brent Harrison
<span title="2019-09-26">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
One of the primary challenges of visual storytelling is developing techniques that can maintain the context of the story over long event sequences to generate human-like stories.  ...  To better help our network maintain this context while also generating long and diverse sentences, we incorporate natural language image descriptions along with the images themselves to generate each story  ...  The major contributions of our work can be summarized as follows: -An end-to-end hierarchical deep neural network to generate open story from visual content.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.12401v1">arXiv:1909.12401v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/646uj5aob5gdpi7eoxuel3ocj4">fatcat:646uj5aob5gdpi7eoxuel3ocj4</a> </span>
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Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder

Meng-Hsuan Yu, Juntao Li, Danyang Liu, Dongyan Zhao, Rui Yan, Bo Tang, Haisong Zhang
<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;
Despite considerable achievements have been made, the gap between automatically generated stories and human-written stories is still significant.  ...  While the conditional variational autoencoder (CVAE) model has been employed to generate diversified content, the hierarchical structure and multi-pass editing scheme allow the story to create more consistent  ...  Related Work Neural Story Generation Automatic story generation can be dated back to the 1970's (Meehan 1977) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i02.5538">doi:10.1609/aaai.v34i02.5538</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lmfrt7kxyngktkami4yysk4pky">fatcat:lmfrt7kxyngktkami4yysk4pky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103143539/https://aaai.org/ojs/index.php/AAAI/article/download/5538/5394" 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/0e/a7/0ea7d31a6d484f92e0c9c6794bd4af6271f9a961.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i02.5538"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

How Brain Waves Help Us Make Sense of Speech

Janelle Weaver
<span title="2013-12-31">2013</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tsaumnzpkvdmvdi3blhl5clb24" style="color: black;">PLoS Biology</a> </i> &nbsp;
Gross and his team used a brain imaging technique called magnetoencephalography to record neural activity in 22 volunteers while they listened to a sevenminute real-life story.  ...  Joachim Gross, Simon Garrod, and co-workers report novel evidence that hierarchically organized neural oscillations allow people to parse the hierarchical components of speech.  ...  Gross and his team used a brain imaging technique called magnetoencephalography to record neural activity in 22 volunteers while they listened to a sevenminute real-life story.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pbio.1001753">doi:10.1371/journal.pbio.1001753</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24391473">pmid:24391473</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3876973/">pmcid:PMC3876973</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/prxxtjpvqnehjhpqeuzkqdbjaq">fatcat:prxxtjpvqnehjhpqeuzkqdbjaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190308065750/http://pdfs.semanticscholar.org/ee74/cfc3f0f92caaa422fdf1e5fb90a3a98b65f9.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/ee/74/ee74cfc3f0f92caaa422fdf1e5fb90a3a98b65f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pbio.1001753"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876973" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Shared neural correlates for language and tool use in Broca's area

Satomi Higuchi, Thierry Chaminade, Hiroshi Imamizu, Mitsuo Kawato
<span title="">2009</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vuxayzyfpngnthz3cmowjnzqq4" style="color: black;">NeuroReport</a> </i> &nbsp;
The involvement of monkeys' homologous region during tool use suggests that neural processes for computation of complex hierarchical structures exist in primates without language, and could have been exapted  ...  The location of this overlap suggests that language and tool use share computational principles for processing complex hierarchical structures common to these two abilities.  ...  Broca's area has an important role in unifying semantics, syntax and phonetic processes, and is important for both language production (verb generation) and comprehension (listening to a story) [19] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/wnr.0b013e3283315570">doi:10.1097/wnr.0b013e3283315570</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19734812">pmid:19734812</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/emq4shrlorfozbqtrem73hxew4">fatcat:emq4shrlorfozbqtrem73hxew4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810133710/http://www.cns.atr.jp/%7Ekawato/Ppdf/Higuchi_NeuroreportProofs.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/4b/42/4b4201d91c9207909d6effc9acbe94ca86543cf6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/wnr.0b013e3283315570"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Generation of multimedia TV news contents for WWW

Hsin Chia Fu, Yeong Y. Xu, C. L. Tseng
<span title="">2006</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 15th international conference on World Wide Web - WWW &#39;06</a> </i> &nbsp;
The authors sincerely thank to the faculty and students associated with the Neural Network Multimedia laboratory of National Chiao-Tung University for their suggestions and contributions.  ...  GOALS OF THE SYSTEM In general, an automated hierarchical TV-news web system needs to have at least the following features: ♦ Segmenting a TV news program into story based units ♦ Generating keywords and  ...  titles for each news stories ♦ Interactively displaying hierarchical TV news contents ♦ Providing users for searching related news stories.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1135777.1135939">doi:10.1145/1135777.1135939</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/FuXT06.html">dblp:conf/www/FuXT06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ns6yfmmfavcqjds3yvqc2li7da">fatcat:ns6yfmmfavcqjds3yvqc2li7da</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809021811/http://www.ra.ethz.ch/CDstore/www2006/devel-www2006.ecs.soton.ac.uk/programme/files/pdf/p56.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/4b/33/4b332fb6c180c228a7e5e8ed5396f555c32b9d16.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1135777.1135939"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Toward a Better Story End: Collecting Human Evaluation with Reasons

Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada
<span title="">2019</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3rq6eimo35hlhbg4sx6i3ty2uq" style="color: black;">Proceedings of the 12th International Conference on Natural Language Generation</a> </i> &nbsp;
First, we introduce a baseline hierarchical sequenceto-sequence method for story ending generation.  ...  In this study, we undertake the task of story ending generation. This is a relatively new task, in which the last sentence of a given incomplete story is automatically generated.  ...  A hierarchical neural autoencoder for paragraphs and documents.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w19-8646">doi:10.18653/v1/w19-8646</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/inlg/MoriYMH19.html">dblp:conf/inlg/MoriYMH19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qm5hkd5opjd6zpkuikj3wtctne">fatcat:qm5hkd5opjd6zpkuikj3wtctne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507232513/https://www.aclweb.org/anthology/W19-8646.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/01/2e/012e6ff2374607511518e7ddd9f278f4e6c69bb4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w19-8646"> <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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