Vocabulary ≈ VocabularyVocabulary
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Definitions, methods, and applications in interpretable machine learning Open
Significance The recent surge in interpretability research has led to confusion on numerous fronts. In particular, it is unclear what it means to be interpretable and how to select, evaluate, or even discuss methods for producing interpret…
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Google Speech Commands-Musan test set Open
This noisy speech test set is created from the Google Speech Commands v2 [1] and the Musan dataset[2]. It is introduced in our ICASSP 2022 paper [3]. Specifically, we created this test set by mixing the speech in the Google Speech Commands…
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The Comparative Toxicogenomics Database: update 2019 Open
The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a premier public resource for literature-based, manually curated associations between chemicals, gene products, phenotypes, diseases, and environmental exposures. In thi…
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Artificial intelligence in higher education: the state of the field Open
This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examin…
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On Using Very Large Target Vocabulary for Neural Machine Translation Open
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Lo…
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BioCreative V CDR task corpus: a resource for chemical disease relation extraction Open
Community-run, formal evaluations and manually annotated text corpora are critically important for advancing biomedical text-mining research. Recently in BioCreative V, a new challenge was organized for the tasks of disease named entity re…
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The importance of vocabulary in language learning and how to be taught Open
Vocabulary learning is an essential part in foreign language learning as the meanings of new words are very often emphasized, whether in books or in classrooms.It is also central to language teaching and is of paramount importance to a lan…
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Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory Open
Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents. However, this problem has not been studied in large-scale conversation generation so far. In this paper, we propose Emotional…
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Skip-Thought Vectors Open
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tries to reconstruct the surrounding sentences of an encoded pass…
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Mathematics Anxiety, Working Memory, and Mathematics Performance in Secondary-School Children Open
Mathematics anxiety (MA) has been defined as "a feeling of tension and anxiety that interferes with the manipulation of numbers and the solving of math problems in a wide variety of ordinary life and academic situations." Previous studies …
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The Dark (Patterns) Side of UX Design Open
Interest in critical scholarship that engages with the complexity of user experience (UX) practice is rapidly expanding, yet the vocabulary for describing and assessing criticality in practice is currently lacking. In this paper, we outlin…
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Unknown vocabulary density and reading comprehension Open
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Neural Sign Language Translation Open
Neural Sign Language Translation
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Sound–meaning association biases evidenced across thousands of languages Open
Significance The independence between sound and meaning is believed to be a crucial property of language: across languages, sequences of different sounds are used to express similar concepts (e.g., Russian “ptitsa,” Swahili “ndege,” and Ja…
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WEGO 2.0: a web tool for analyzing and plotting GO annotations, 2018 update Open
WEGO (Web Gene Ontology Annotation Plot), created in 2006, is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. Owing largely to the rapid development of high-throughput sequencing and …
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Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Open
Wang Ling, Chris Dyer, Alan W Black, Isabel Trancoso, Ramón Fermandez, Silvio Amir, Luís Marujo, Tiago Luís. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015.
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How vocabulary is learned Open
Vocabulary learning requires two basic conditions – repetition (quantity of meetings with words) and good quality mental processing of the meetings. Other factors also affect vocabulary learning. For example, learners may differ greatly in…
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ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision Open
Vision-and-Language Pre-training (VLP) has improved performance on various joint vision-and-language downstream tasks. Current approaches to VLP heavily rely on image feature extraction processes, most of which involve region supervision (…
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Getting the Hologenome Concept Right: an Eco-Evolutionary Framework for Hosts and Their Microbiomes Open
Given the complexity of host-microbiota symbioses, scientists and philosophers are asking questions at new biological levels of hierarchical organization—what is a holobiont and hologenome? When should this vocabulary be applied? Are these…
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How Many Words Do We Know? Practical Estimates of Vocabulary Size Dependent on Word Definition, the Degree of Language Input and the Participant’s Age Open
Based on an analysis of the literature and a large scale crowdsourcing experiment, we estimate that an average 20-year-old native speaker of American English knows 42,000 lemmas and 4,200 non-transparent multiword expressions, derived from…
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BioWordVec, improving biomedical word embeddings with subword information and MeSH Open
Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP), text mining and information retrieval. Word embeddings are traditionally computed at the word level from a large corp…
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Neural Machine Translation of Rare Words with Subword Units Open
Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem. Previous work addresses the translation of out-of-vocabulary words by backing off to a dictionary. In this pa…
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Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students Open
Introduction This mixed-methods study evaluates the impact of AI-assisted language learning on Chinese English as a Foreign Language (EFL) students’ writing skills and writing motivation. As artificial intelligence (AI) becomes more preval…
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Emergence of Grounded Compositional Language in Multi-Agent Populations Open
By capturing statistical patterns in large corpora, machine learning has enabled significant advances in natural language processing, including in machine translation, question answering, and sentiment analysis. However, for agents to inte…
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A high-performance speech neuroprosthesis Open
Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication to people with paralysis by decoding neural activity evoked by attempted speech into text 1,2 or sound 3,4 . Early demonstrations, although promising…
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An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge Open
With the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of them becomes increasingly important. Question answering over knowledge base (KB-QA) is one of the promising approaches to access the substantial knowl…
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Assemblage thinking and actor‐network theory: conjunctions, disjunctions, cross‐fertilisations Open
This paper shows that assemblage thinking and actor‐network theory (ANT) have much more to gain from each other than debate has so far conceded. Exploring the conjunctions and disjunctions between the two approaches, it proposes three cros…
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Menstrual health: a definition for policy, practice, and research Open
The term "menstrual health" has seen increased use across advocacy, programming, policy, and research, but has lacked a consistent, self-contained definition. As a rapidly growing field of research and practice a comprehensive definition i…
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Benefits and Pitfalls of Multimedia and Interactive Features in Technology-Enhanced Storybooks Open
A meta-analysis was conducted on the effects of technology-enhanced stories for young children’s literacy development when compared to listening to stories in more traditional settings like storybook reading. A small but significant additi…
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A vocabulary size test Open
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