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From bag-of-words towards natural language: adapting topic models to avoid stop word removal ...
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Fuzzy Approach to Computational Classification of Burnout—Preliminary Findings
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In: Applied Sciences; Volume 12; Issue 8; Pages: 3767 (2022)
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Modeling human-like morphological prediction
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Ranking Semantics for Argumentation Systems With Necessities
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In: IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03002056 ; IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Jan 2021, Yokohama / Virtual, Japan. pp.1912-1918, ⟨10.24963/ijcai.2020/265⟩ (2021)
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Investigating alignment interpretability for low-resource NMT
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021)
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English machine reading comprehension: new approaches to answering multiple-choice questions
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Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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Meta-evaluation of machine translation evaluation methods
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In: Han, Lifeng orcid:0000-0002-3221-2185 (2021) Meta-evaluation of machine translation evaluation methods. In: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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ПРОТОТИП БАЗЫ АКТИВНЫХ ЗНАНИЙ НА ОСНОВЕ ВЫЧИСЛИТЕЛЬНЫХ МОДЕЛЕЙ ... : ACTIVE KNOWLEDGE BASE PROTOTYPE ON THE BASIS OF COMPUTATIONAL MODELS ...
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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.485/ Abstract: Irrespective of the success of the deep learning- based mixed-domain transfer learning approach for solving various Natural Language Processing tasks, it does not lend a generalizable solution for detecting misinformation from COVID-19 social media data. Due to the inherent complexity of this type of data, caused by its dynamic (context evolves rapidly), nuanced (misinformation types are often ambiguous), and diverse (skewed, fine-grained, and overlapping categories) nature, it is imperative for an effective model to capture both the local and global context of the target domain. By conducting a systematic investigation, we show that: (i) the deep Transformer- based pre-trained models, utilized via the mixed-domain transfer learning, are only good at capturing the local context, thus exhibits poor generalization, and (ii) a combination of shallow network-based domain-specific models and convolutional neural networks can efficiently ...
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Keyword:
Computational Linguistics; Covid-19; Deep Learning; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/yyza-sr36 https://underline.io/lecture/37959-navigating-the-kaleidoscope-of-covid-19-misinformation-using-deep-learning
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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