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1
A Quantitative and Qualitative Analysis of Schizophrenia Language ...
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2
Towards Responsible Natural Language Annotation for the Varieties of Arabic ...
Bergman, A. Stevie; Diab, Mona T.. - : arXiv, 2022
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3
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation ...
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4
Few-shot Learning with Multilingual Language Models ...
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5
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization ...
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6
Green NLP panel ...
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7
Detecting Hallucinated Content in Conditional Neural Sequence Generation ...
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8
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation ...
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9
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ...
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10
Discrete Cosine Transform as Universal Sentence Encoder ...
Almarwani, Nada; Diab, Mona. - : arXiv, 2021
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11
Discrete Cosine Transform as Universal Sentence Encoder ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.53 Abstract: Modern sentence encoders are used to generate dense vector representations that capture the underlying linguistic characteristics for a sequence of words, including phrases, sentences, or paragraphs. These kinds of representations are ideal for training a classifier for an end task such as sentiment analysis, question answering and text classification. Different models have been proposed to efficiently generate general purpose sentence representations to be used in pretraining protocols. While averaging is the most commonly used efficient sentence encoder, Discrete Cosine Transform (DCT) was recently proposed as an alternative that captures the underlying syntactic characteristics of a given text without compromising practical efficiency compared to averaging. However, as with most other sentence encoders, the DCT sentence encoder was only evaluated in English. To this end, we utilize DCT encoder to generate universal sentence ...
URL: https://underline.io/lecture/25526-discrete-cosine-transform-as-universal-sentence-encoder
https://dx.doi.org/10.48448/zyfm-dx53
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12
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages ...
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13
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ...
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14
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies ...
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15
Overview for the Second Shared Task on Language Identification in Code-Switched Data ...
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16
WASA: A Web Application for Sequence Annotation ...
AlGhamdi, Fahad; Diab, Mona. - : arXiv, 2019
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17
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data ...
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18
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues ...
Levi, Or; Hosseini, Pedram; Diab, Mona. - : arXiv, 2019
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19
Part of speech tagging for code switched data ...
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20
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task ...
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