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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...72 Hits 1 – 20 of 1.432 1 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 2 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 3 A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ... Mhamed, Mustafa; Sutcliffe, Richard; Sun, Xia. - : arXiv, 2022 BASE Show details 4 Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ... Litake, Onkar; Sabane, Maithili; Patil, Parth. - : arXiv, 2022 BASE Show details 5 Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ... Kabir, Md. Ahsanul; Almulhim, AlJohara; Luo, Xiao; Hasan, Mohammad Al. - : arXiv, 2022 Abstract: Extracting cause-effect entities from medical literature is an important task in medical information retrieval. A solution for solving this task can be used for compilation of various causality relations, such as, causality between disease and symptoms, between medications and side effects, between genes and diseases, etc. Existing solutions for extracting cause-effect entities work well for sentences where the cause and the effect phrases are name entities, single-word nouns, or noun phrases consisting of two to three words. Unfortunately, in medical literature, cause and effect phrases in a sentence are not simply nouns or noun phrases, rather they are complex phrases consisting of several words, and existing methods fail to correctly extract the cause and effect entities in such sentences. Partial extraction of cause and effect entities conveys poor quality, non informative, and often, contradictory facts, comparing to the one intended in the given sentence. In this work, we solve this problem by ... : 22 pages without comment ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2203.06592 https://arxiv.org/abs/2203.06592 BASE Hide details 6 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 7 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 8 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 9 Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ... Bird, Jordan J.. - : arXiv, 2022 BASE Show details 10 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 BASE Show details 11 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 BASE Show details 12 pNLP-Mixer: an Efficient all-MLP Architecture for Language ... Fusco, Francesco; Pascual, Damian; Staar, Peter. - : arXiv, 2022 BASE Show details 13 Multilingual Abusiveness Identification on Code-Mixed Social Media Text ... Ranjan, Ekagra; Poddar, Naman. - : arXiv, 2022 BASE Show details 14 hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ... Das, Mithun; Banerjee, Somnath; Mukherjee, Animesh. - : arXiv, 2022 BASE Show details 15 StableMoE: Stable Routing Strategy for Mixture of Experts ... Dai, Damai; Dong, Li; Ma, Shuming. - : arXiv, 2022 BASE Show details 16 BERTuit: Understanding Spanish language in Twitter through a native transformer ... Huertas-Tato, Javier; Martin, Alejandro; Camacho, David. - : arXiv, 2022 BASE Show details 17 EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification ... Spithourakis, Georgios P.; Vulić, Ivan; Lis, Michał. - : arXiv, 2022 BASE Show details 18 Frame Shift Prediction ... Yong, Zheng-Xin; Watson, Patrick D.; Torrent, Tiago Timponi. - : arXiv, 2022 BASE Show details 19 Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ... Siddhant, Aditya; Bapna, Ankur; Firat, Orhan. - : arXiv, 2022 BASE Show details 20 Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ... Das, Mithun; Banerjee, Somnath; Mukherjee, Animesh. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...72

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