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1
From bag-of-words towards natural language: adapting topic models to avoid stop word removal ...
Max Schulze Dieckhoff. - : Universitätsbibliothek Eichstätt-Ingolstadt, 2022
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2
Fuzzy Approach to Computational Classification of Burnout—Preliminary Findings
In: Applied Sciences; Volume 12; Issue 8; Pages: 3767 (2022)
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3
Modeling human-like morphological prediction
In: Proceedings of the Society for Computation in Linguistics (2022)
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4
Ranking Semantics for Argumentation Systems With Necessities
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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5
Investigating alignment interpretability for low-resource NMT
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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6
English machine reading comprehension: new approaches to answering multiple-choice questions
Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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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7
cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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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8
Meta-evaluation of machine translation evaluation methods
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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9
ПРОТОТИП БАЗЫ АКТИВНЫХ ЗНАНИЙ НА ОСНОВЕ ВЫЧИСЛИТЕЛЬНЫХ МОДЕЛЕЙ ... : ACTIVE KNOWLEDGE BASE PROTOTYPE ON THE BASIS OF COMPUTATIONAL MODELS ...
Артюхов Алексей Андреевич. - : Проблемы информатики, 2021
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10
Automatic Error Type Annotation for Arabic ...
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11
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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12
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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13
Detecting Gender Bias using Explainability ...
Abstract: Explanations for AI systems have been used to improve the trustworthiness of these systems. These explanations can be used to find the undesirable implicit biases that machine learning models can rely on for their outputs. We apply this concept to detect gender bias in sentiment analysis models for textual data. With the help of an Equity Evaluation Corpus (EEC), we used different gender signals for otherwise identical input to the system and use explanations from LIME and SHAP to find a trend of bias, and identify terms that contribute the most to it. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/xtya-7b69
https://underline.io/lecture/39696-detecting-gender-bias-using-explainability
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14
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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15
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
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16
Contrastive Code Representation Learning ...
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17
Unsupervised Multi-View Post-OCR Error Correction With Language Models ...
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18
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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19
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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20
Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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