Filters








679 Hits in 5.7 sec

Stance Detection in Code-Mixed

Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, Radhika Mamidi
<span title="">2019</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5w4agftuibe35hbonabjurfqf4" style="color: black;">Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis</a> </i> &nbsp;
Social media sites like Facebook, Twitter, and other microblogging forums have emerged as a platform for people to express their opinions and views on different issues and events.  ...  In this paper, we introduce a Multi-Task Learning (MTL) based deep neural network architecture for automatically detecting stance present in the code-mixed corpus.  ...  stance in English tweets which uses sentiment and domain-specific features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w19-1301">doi:10.18653/v1/w19-1301</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wassa/SaneTSM19.html">dblp:conf/wassa/SaneTSM19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x2wgepaofrg65d53ajnunaztfm">fatcat:x2wgepaofrg65d53ajnunaztfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507213724/https://www.aclweb.org/anthology/W19-1301.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/4a/83/4a83ec376a94d30f09c55d147726770ba372465d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/w19-1301"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification [article]

Francesco Barbieri and Jose Camacho-Collados and Leonardo Neves and Luis Espinosa-Anke
<span title="2020-10-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Each year, new shared tasks and datasets are proposed, ranging from classics like sentiment analysis to irony detection or emoji prediction.  ...  Therefore, it is unclear what the current state of the art is, as there is no standardized evaluation protocol, neither a strong set of baselines trained on such domain-specific data.  ...  We use the SemEval2016 shared task on Detecting Stance in Tweets (Mohammad et al., 2016 ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.12421v2">arXiv:2010.12421v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppwur5cphvcd3dkkq7qgdsvk34">fatcat:ppwur5cphvcd3dkkq7qgdsvk34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201030141328/https://arxiv.org/pdf/2010.12421v2.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/f3/9ef33af1b2ebda2f2edd6c1394f314d7ac2f00f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.12421v2" 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>
This thesis presents my research on automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction.  ...  This development has spurred research in the area of automatic fact checking, from approaches to detect check-worthy claims and determining the stance of tweets towards claims, to methods to determine  ...  The latter are tasks which are often related to the target task, be it in form (i.e. if the target task is a text classification task, those would also be text classification tasks); in domain (e.g. the  ... 
<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>

Stance Detection on Social Media: State of the Art and Trends [article]

Abeer AlDayel, Walid Magdy
<span title="2020-06-05">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
An exhaustive review of stance detection techniques on social media ispresented, including the task definition, the different types of targets in stance detection, the features set used, and the variousmachine  ...  stance detection on social media  ...  In classification tasks the datasets further categorized as: target-specific, multi-target and claim-based stance dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.03644v1">arXiv:2006.03644v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hw3qqg2k3vbkjodef764c46ajy">fatcat:hw3qqg2k3vbkjodef764c46ajy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200610075744/https://arxiv.org/pdf/2006.03644v1.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/2006.03644v1" 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>

Research status of deep learning methods for rumor detection

Li Tan, Ge Wang, Feiyang Jia, Xiaofeng Lian
<span title="2022-04-21">2022</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7inqmh346zfjjizjyieh7ijtma" style="color: black;">Multimedia tools and applications</a> </i> &nbsp;
Besides, this work summarizes 30 works into 7 rumor detection methods such as propagation trees, adversarial learning, cross-domain methods, multi-task learning, unsupervised and semi-supervised methods  ...  Then, this work divides deep learning models of rumor detection into CNN, RNN, GNN, Transformer based on the model structure, which is convenient for comparison.  ...  Ma, Gao, and Wong (2018a) first proposed a multi-task rumor detection method based on stance detection task.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-022-12800-8">doi:10.1007/s11042-022-12800-8</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35469150">pmid:35469150</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9022167/">pmcid:PMC9022167</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h5vjukpkyzdhnjhikgtpj347e4">fatcat:h5vjukpkyzdhnjhikgtpj347e4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505045756/https://arxiv.org/pdf/2204.11540v1.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/6c/1c/6c1c754c3fe4b6cafaa3ab7f6c3708c364bf7116.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-022-12800-8"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022167" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep Memory Networks for Attitude Identification

Cheng Li, Xiaoxiao Guo, Qiaozhu Mei
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM &#39;17</a> </i> &nbsp;
Conventionally, this task is decomposed into two separate subtasks: target detection that identifies whether each entity is mentioned in the text, either explicitly or implicitly, and polarity classification  ...  We consider the task of identifying attitudes towards a given set of entities from text.  ...  Acknowledgment This work is partially supported by the National Science Foundation under grant numbers IIS-1054199 and SES-1131500.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3018661.3018714">doi:10.1145/3018661.3018714</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/LiGM17.html">dblp:conf/wsdm/LiGM17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d3astnankvhobixe75pop4ayvy">fatcat:d3astnankvhobixe75pop4ayvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170702140534/http://www-personal.umich.edu/~lichengz/papers/wsdm2017-li-memory.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/94/d3/94d338c53c6304481c0afb297b0f634d1b3e9e1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3018661.3018714"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

X-Stance: A Multilingual Multi-Target Dataset for Stance Detection [article]

Jannis Vamvas, Rico Sennrich
<span title="2020-06-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The dataset consists of German, French and Italian text, allowing for a cross-lingual evaluation of stance detection. It contains 67 000 comments on more than 150 political issues (targets).  ...  Unlike stance detection models that have specific target issues, we use the dataset to train a single model on all the issues.  ...  We would like to thank Isabelle Augenstein, Anne Göhring and the anonymous reviewers for helpful feedback.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.08385v2">arXiv:2003.08385v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xkxdkeueqnckzgezb4xj7kfbyu">fatcat:xkxdkeueqnckzgezb4xj7kfbyu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200623193110/https://arxiv.org/pdf/2003.08385v2.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/2003.08385v2" 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>

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media [article]

Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu
<span title="2021-05-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Early content-based methods focused on finding clues from the text and user profiles for rumor detection.  ...  Both the stance selection and rumor detection tasks are optimized simultaneously to promote both tasks mutually. We conduct experiments on two commonly used real-world datasets.  ...  This research is supported in part by the National Key Research and Development Program of China under Grant 2018YFC0806900.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.04098v1">arXiv:2105.04098v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qvtvru4qyjax7kk7p5cphnp6iy">fatcat:qvtvru4qyjax7kk7p5cphnp6iy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210512113055/https://arxiv.org/pdf/2105.04098v1.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/3b/3e/3b3e8934e014533607a7a4cde96d2934f4e6f61a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.04098v1" 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>

Analysis of Techniques for Rumor Detection in Social Media

Ajeet Ram Pathak, Aditee Mahajan, Keshav Singh, Aishwarya Patil, Anusha Nair
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
Therefore, automatically detecting the rumors from social media platforms is one of the highly sought-after research area in the domain of social media analytics.  ...  Motivated by the same, this paper focuses on detailed discussion of datasets and state-of-the-art approaches of rumor detection.  ...  Initial rumors are detected as a kind of false information propagation, and then, the task of rumor classification is performed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2020.03.281">doi:10.1016/j.procs.2020.03.281</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/olei4mxf3rbhhgttbzyff4iz7a">fatcat:olei4mxf3rbhhgttbzyff4iz7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200420224027/https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050920X00056/1-s2.0-S187705092030747X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEPf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIGutzGcWlets8Ci9GWZXVuQjgl8xOlpxQy3ztdExeJ4QAiEA1qoDxhdQZqfRAeYnt8a11iQdsi7dh7pr8FzIfH901JsqtAMIHxADGgwwNTkwMDM1NDY4NjUiDCUdhE6SVI4P2b0IwiqRAw9QTO4prpDSZgZRQOcMxCEbJYuEBjdVprC7bpLnjl6JqH1hMnZ3pw9T79EyP5LOEGAH5M7owtTO63xfJhkPkB8iaWADFO4fUjFCF0K1vjtbrDFf8gBIz4Q1yuISIWlj3WQPrkwyvpI%2BsmYet6PXdhBkNvKarB97Y8fkTiyWYm9p2plP9HfD8w7bXStsu8hU4mmbrd4MfgfXpy3i4mWDmSfb5SBiuNy8bP3MleK%2FEhVzMRsCEKcO54%2BI%2BBSQPb%2BiLwpnLOZeZ3rwn1kjB7KXg7272CRJzBSrCD95V%2B4fN9t8cZu%2FMyv0mEB2w7DAc1uZpatrxw2jfBfhR%2BxZi23h2ulo1cQgbQqHtmkw4%2BMDnhXiLrYdIfI8sIc5k474ZDjM14CpYOQwb6%2FzYK2svx4SdQgPhUXz4AOci42RQxFZx6B8dsgdEdPtGU%2BLPauK1vlzQw4tC9LMk2fivjvXYsJdk%2B8Qf130IzK5ciIDal9WPJm0vxl0g6PBiIlV54ZVWSDJPSFuJoArkv2TO2%2FNYl7tXnGfMLG9%2BPQFOusB9KAWIVRwZbXdQv0IdeCZKNYF%2Ffk8FTwKYq4fqeubDQoDuf8l%2Bkh1CGxkjcKIgFNzt7rYiFtkDoLfCiXEPxi41KS4Wh89t%2BCGD75pvJ9OBJf%2FqnQXenMDiDpZbe%2Br8cBAqK1SjgCLJX4qfoOAv2E1lzbt0XZCZqKlcuhJGZD4FSl1BqMQZszuQEK0xnkNqrAR17LrspwrLJyAZS%2B9i1RQakeUd%2FBOSs7vI7cWi%2FdpF2RJjeDo226gZ%2FciCg808Fd7JPN7ozOPtX9pqaXcxd%2FYykEx8pv94IY2bnlPz9N2WmrzR23BmJsCvpawiQ%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20200420T224022Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYWOOQOTWL%2F20200420%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=5dd6df7e78af7a6d5c17bfa049b82e368afa528489e2ae84116d99795a1df2c4&amp;hash=89e04cf8423c4168dcd4ce6e6790c793e9c69d0d2ed389e0c909e1feff1b0805&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S187705092030747X&amp;tid=spdf-efc7d389-6129-454e-8bb9-3b4e28856f28&amp;sid=d0aca44e82a20442e32b92584c1c471a15b2gxrqa&amp;type=client" 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/ad/53/ad5348a8de95f9d845df24389c9cea1709310e57.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2020.03.281"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Emotionally Informed Hate Speech Detection: A Multi-target Perspective

Patricia Chiril, Endang Wahyu Pamungkas, Farah Benamara, Véronique Moriceau, Viviana Patti
<span title="2021-06-28">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fyqcejpxl5gdvbw7yq7x2x5abu" style="color: black;">Cognitive Computation</a> </i> &nbsp;
approach outperforms a single-task model when detecting both the hatefulness of a tweet and its topical focus in the context of a multi-label classification approach; and (3) the models incorporating  ...  Our study shows that: (1) training a model on a combination of several (training sets from several) topic-specific datasets is more effective than training a model on a topic-generic dataset; (2) the multi-task  ...  Pamungkas and Viviana Patti is partially funded by Progetto di Ateneo/CSP 2016 (Immigrants, Hate and Prejudice in Social Media, S1618.L2.BOSC.01) and by the project "Be Positive!"  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12559-021-09862-5">doi:10.1007/s12559-021-09862-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/742czn3qvnep5gt6hkaoccz75m">fatcat:742czn3qvnep5gt6hkaoccz75m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717062550/https://link.springer.com/content/pdf/10.1007/s12559-021-09862-5.pdf?error=cookies_not_supported&amp;code=d69d9137-53ed-4daf-8b51-2b2d7d29be1e" 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/e8/56/e85661dc3ef464195c71fb93b576a862660bd762.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12559-021-09862-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Gaussian Processes for Rumour Stance Classification in Social Media

Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter
<span title="2019-02-13">2019</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2o77szzyngfjiyr6oftvf2ts4" style="color: black;">ACM Transactions on Information Systems</a> </i> &nbsp;
In this work, we set out to develop an automated, supervised classifier that uses multi-task learning to classify the stance expressed in each individual tweet in a conversation around a rumour as either  ...  Using a Gaussian Process classifier, and exploring its effectiveness on two datasets with very different characteristics and varying distributions of stances, we show that our approach consistently outperforms  ...  This research utilised Queen Mary's MidPlus computational facilities, supported by QMUL Research-IT and funded by EPSRC grant EP/K000128/1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3295823">doi:10.1145/3295823</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqmedd32ejdopmp5efu5wrvnnu">fatcat:iqmedd32ejdopmp5efu5wrvnnu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709152016/http://www.zubiaga.org/publications/files/lukasik2019gaussian.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/ae/1a/ae1a1977b71c01629333c51e933212ab9b4d9ac1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3295823"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Survey on Opinion Mining: from Stance to Product Aspect

Rui Wang, Deyu Zhou, Mingmin Jiang, Jiasheng Si, Yang Yang
<span title="">2019</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;
Then, the methodologies for stance detection on different sources, such as online forum and social media are discussed.  ...  opinion mining based on the processing units and tasks.  ...  ACKNOWLEDGMENT We would like to thank the reviewers for their valuable comments and helpful suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2906754">doi:10.1109/access.2019.2906754</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5scny4gacvdivatd7m2lpky6ri">fatcat:5scny4gacvdivatd7m2lpky6ri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429151429/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08672602.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/8f/1b/8f1bdc9c20119d821b5136920039f22063d2aaea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2906754"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

SardiStance @ EVALITA2020: Overview of the Task on Stance Detection in Italian Tweets [chapter]

Alessandra Teresa Cignarella, Mirko Lai, Cristina Bosco, Viviana Patti, Paolo Rosso
<span title="">2020</span> <i title="Accademia University Press"> EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 </i> &nbsp;
SardiStance is the first shared task for Italian on the automatic classification of stance in tweets.  ...  It is articulated in two different settings: A) Textual Stance Detection, exploiting only the information provided by the tweet, and B) Contextual Stance Detection, with the addition of information on  ...  Lai and V. Patti is partially funded by the project "Be Positive!" (under the 2019 "Google.org Impact Challenge on Safety" call). The work of C. Bosco and V.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4000/books.aaccademia.7084">doi:10.4000/books.aaccademia.7084</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2dd45ayjbgoniu6zll7gf4rdy">fatcat:v2dd45ayjbgoniu6zll7gf4rdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716232727/https://iris.unito.it/retrieve/handle/2318/1764607/687061/paper159.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/7b/49/7b4900d7b47af99e64e4a33e73a2325ddab276ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4000/books.aaccademia.7084"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Cross-Domain Label-Adaptive Stance Detection [article]

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
<span title="2021-09-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Stance detection concerns the classification of a writer's viewpoint towards a target.  ...  There are different task variants, e.g., stance of a tweet vs. a full article, or stance with respect to a claim vs. an (implicit) topic.  ...  Finally, we thank the authors of the stance datasets for open-sourcing and providing us with their data. poledb We used the domains Healthcare, Guns, Gay Rights and God for training, Abortion for development  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.07467v2">arXiv:2104.07467v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ma3ryvivtvet5bkz2otrks3h6y">fatcat:ma3ryvivtvet5bkz2otrks3h6y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210917165202/https://arxiv.org/pdf/2104.07467v2.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/ba/9f/ba9f284f6cda1a64a6079e3d931898ba880d961d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.07467v2" 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>

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training [article]

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
<span title="2021-12-21">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Most research in stance detection, however, has been limited to working with a single language and on a few limited targets, with little work on cross-lingual stance detection.  ...  The goal of stance detection is to determine the viewpoint expressed in a piece of text towards a target.  ...  studies of multi-task/multi-dataset stance detection (Schiller, Daxenberger, and Gurevych 2021; Hardalov et al. 2021) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.06050v2">arXiv:2109.06050v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jrobuncxkbgtbdptjs5yqdburq">fatcat:jrobuncxkbgtbdptjs5yqdburq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210918011121/https://arxiv.org/pdf/2109.06050v1.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/88/7e/887e52bdd62b1b9a23c852e02e93d310c09a7d13.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.06050v2" 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 679 results