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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...26 Hits 1 – 20 of 511 1 Interference in processing of Czech intraclausal garden-path structures - yes/no questions ... Chromý, Jan. - : Open Science Framework, 2022 BASE Show details 2 Agreement attraction in English and Czech: A direct experimental comparison ... Lacina, Radim. - : Open Science Framework, 2022 BASE Show details 3 Investigating the Effect of Context on Sentence Comprehension ... Chen, Sihan. - : Open Science Framework, 2022 BASE Show details 4 Interference in processing of Czech intraclausal garden-path structures - open-ended questions ... Chromý, Jan. - : Open Science Framework, 2022 BASE Show details 5 Measuring and Comparing Social Bias in Static and Contextual Word Embeddings Mora, Alan Cueva. - : Technological University Dublin, 2022 In: Dissertations (2022) Abstract: Word embeddings have been considered one of the biggest breakthroughs of deep learning for natural language processing. They are learned numerical vector representations of words where similar words have similar representations. Contextual word embeddings are the promising second-generation of word embeddings assigning a representation to a word based on its context. This can result in different representations for the same word depending on the context (e.g. river bank and commercial bank). There is evidence of social bias (human-like implicit biases based on gender, race, and other social constructs) in word embeddings. While detecting bias in static (classical or non-contextual) word embeddings is a well-researched topic, there has been limited work in detecting bias in contextual word embeddings, mostly focussed on using the Word Embedding Association Test (WEAT). This paper explores measuring social bias (gender, ethnicity, and religion) in contextual word embeddings using a number of fairness metrics, including the Relative Norm Distance (RND), the Relative Negative Sentiment Bias (RNSB) and the already mentioned WEAT. It extends the Word Embeddings Fairness Evaluation (WEFE) framework to facilitate measuring social biases in contextual embeddings and compares these with biases in static word embeddings. The results show when ranking performance over a number of fairness metrics that contextual word embedding pre-trained models BERT and RoBERTa have more social bias than static word embedding pre-trained models GloVe and Word2Vec. Keyword: Computer Engineering; Computer Sciences; Contextual Word Embeddings; Fairness Evaluation; Natural Language Processing; Sentence Embeddings; Social Bias; Word Embeddings URL: https://arrow.tudublin.ie/scschcomdis/250 https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1267&context=scschcomdis BASE Hide details 6 Effect of Lexical-Semantic Cues during Real-Time Sentence Processing in Aphasia Niloofar Akhavan; Christina Sen; Carolyn Baker; Noelle Abbott; Michelle Gravier; Tracy Love In: Brain Sciences; Volume 12; Issue 3; Pages: 312 (2022) BASE Show details 7 Use of Parsing Heuristics in the Comprehension of Passive Sentences: Evidence from Dyslexia and Individual Differences Marianna Stella; Paul E. Engelhardt In: Brain Sciences; Volume 12; Issue 2; Pages: 209 (2022) BASE Show details 8 A perceptual study of language chunking in Estonian Ots Nele; Taremaa Piia In: Open Linguistics, Vol 8, Iss 1, Pp 1-26 (2022) (2022) BASE Show details 9 Verb-second as a reconstruction phenomenon : evidence from grammar and processing Freitag, Constantin; Walter de Gruyter GmbH & Co. KG. - Berlin : De Gruyter, 2021 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 10 The Role of Prosodic Phrasing on the Acceptability of Agreement Attraction in English Royer, Adam Joseph. - : eScholarship, University of California, 2021 BASE Show details 11 How sentence processing sheds light on mixed language creation Adamou, Evangelia In: New Perspectives on Mixed Languages. From Core to Fringe ; https://halshs.archives-ouvertes.fr/halshs-02442565 ; Eeva Sippola; Maria Mazzoli. New Perspectives on Mixed Languages. From Core to Fringe, De Gruyter, In press, 978-1-5015-1125-7 ; https://www.degruyter.com/view/product/511911 (2021) BASE Show details 12 Dialect effects on morphosyntactic agreement interpretation ... Maher, Zachary. - : Open Science Framework, 2021 BASE Show details 13 Adjectival polarity and the processing of scalar inferences van Tiel, Bob; Pankratz, Elizabeth In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 32 ; 2397-1835 (2021) BASE Show details 14 When missing NPs make double center-embedding sentences acceptable Huang, Nick; Phillips, Colin In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 37 ; 2397-1835 (2021) BASE Show details 15 Gender attraction in sentence comprehension González Alonso, Jorge; Cunnings, Ian; Fujita, Hiroki... In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 20 ; 2397-1835 (2021) BASE Show details 16 Processing of intraclausal garden-path structures in Czech - yes/no questions (11/2021) ... Chromý, Jan. - : Open Science Framework, 2021 BASE Show details 17 Plausibility and recall of information of transitive sentences in Czech: open-ended questions experiment (December 2021) ... Chromý, Jan. - : Open Science Framework, 2021 BASE Show details 18 Cognitive control adaptation and syntactic ambiguity ... Kaan, Edith. - : Open Science Framework, 2021 BASE Show details 19 Visual Gating ... Schlenter, Judith. - : Open Science Framework, 2021 BASE Show details 20 Processing of intraclausal garden-path structures in Czech - open-ended questions ... Chromý, Jan. - : Open Science Framework, 2021 BASE Show details Page: 1 2 3 4 5...26

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