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41
Semantic Priming Study - English and Chinese words (Stimuli characteristics) ...
Suárez, Lidia. - : figshare, 2022
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42
Semantic Priming - RTs and Accuracy (database by participants) ...
anonymous3, Lidia. - : figshare, 2022
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43
Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
Rovetto, Robert J.. - : ESIP, 2022
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44
Semantic Priming English and Chinese Words - Errors Database by Subjects ...
Suárez, Lidia. - : figshare, 2022
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45
Semantic Priming - Errors (database by subjects) ...
anonymous3, Lidia. - : figshare, 2022
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46
2021 Internet as editing tool for non-English speaking researchers.docx ...
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47
French verbal frequencies in the Open Subtitle corpus ...
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48
The SWEET (Semantic Web for Earth and Environmental Terminology) Bibliography ...
Rovetto, Robert J.. - : ESIP, 2022
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49
Semantic Priming Study - Stimuli characteristics ...
anonymous3, Lidia. - : figshare, 2022
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50
Semantic Priming Study - Stimuli characteristics ...
Suárez, Lidia; Ng, Li Ting. - : figshare, 2022
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51
Using social media and personality traits to assess software developers' emotions ...
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52
Gender Bias in Text: Labeled Datasets and Lexicons ...
Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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53
French verbal frequencies in the Open Subtitle corpus ...
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54
Superdiversity dataset ...
Pollacci, Laura; Sîrbu, Alina. - : Zenodo, 2022
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55
INTERACTIVE GAMES IN THE PROCESS OF TEACHING ENGLISH IN EDUCATIONAL INSTITUTIONS ...
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56
Komnzo lexicon ...
Döhler, Christian. - : Zenodo, 2022
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57
Using social media and personality traits to assess software developers' emotions ...
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58
Gender Bias in Text: Labeled Datasets and Lexicons ...
Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
Abstract: Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently, detecting and mitigating gender bias in texts is instrumental in halting its propagation and societal implications. However, there is a lack of gender bias datasets and lexicons for automating the detection of gender bias using supervised and unsupervised machine learning (ML) and natural language processing (NLP) techniques. Therefore, the main contribution of this work is to publicly provide labeled datasets and exhaustive lexicons by collecting, annotating, and augmenting relevant sentences to facilitate the detection of gender bias in English text. Towards this end, we present an updated version of our previously proposed taxonomy by re-formalizing its structure, adding a new bias type, and mapping each bias subtype to an appropriate detection methodology. The released ...
Keyword: Dataset; Exclusionary Terms; Gender Bias; Generic Pronouns; Lexicon; Semantic Bias; Sexism; Stereotyping Bias
URL: https://zenodo.org/record/5876790
https://dx.doi.org/10.5281/zenodo.5876790
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59
INTERACTIVE GAMES IN THE PROCESS OF TEACHING ENGLISH IN EDUCATIONAL INSTITUTIONS ...
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60
Dynamic Sentiment Analysis for Measuring Media Bias ...
Kolb, Thomas Elmar. - : TU Wien, 2022
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