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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...613 Hits 1 – 20 of 12.249 1 Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ... Borg, Markus; Bengtsson, Johan; Österling, Harald. - : arXiv, 2022 BASE Show details 2 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ... Keidar, Daphna; Opedal, Andreas; Jin, Zhijing. - : arXiv, 2022 BASE Show details 3 Similarity between person roles in a card sorting experiment ... Maldonado, Mora. - : Open Science Framework, 2022 BASE Show details 4 SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ... Niu, Changan; Li, Chuanyi; Ng, Vincent. - : arXiv, 2022 BASE Show details 5 Cross-Lingual Phrase Retrieval ... Zheng, Heqi; Zhang, Xiao; Chi, Zewen; Huang, Heyan; Yan, Tan; Lan, Tian; Wei, Wei; Mao, Xian-Ling. - : arXiv, 2022 Abstract: Cross-lingual retrieval aims to retrieve relevant text across languages. Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representations in word or sentence level. However, how to learn phrase representations for cross-lingual phrase retrieval is still an open problem. In this paper, we propose XPR, a cross-lingual phrase retriever that extracts phrase representations from unlabeled example sentences. Moreover, we create a large-scale cross-lingual phrase retrieval dataset, which contains 65K bilingual phrase pairs and 4.2M example sentences in 8 English-centric language pairs. Experimental results show that XPR outperforms state-of-the-art baselines which utilize word-level or sentence-level representations. XPR also shows impressive zero-shot transferability that enables the model to perform retrieval in an unseen language pair during training. Our dataset, code, and trained models are publicly available at www.github.com/cwszz/XPR/. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2204.08887 https://dx.doi.org/10.48550/arxiv.2204.08887 BASE Hide details 6 Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ... Lenti, Jacopo; Ruffo, Giancarlo. - : arXiv, 2022 BASE Show details 7 Improve Sentence Alignment by Divide-and-conquer ... Zhang, Wu. - : arXiv, 2022 BASE Show details 8 Graph Neural Networks for Multiparallel Word Alignment ... Imani, Ayyoob; Şenel, Lütfi Kerem; Sabet, Masoud Jalili. - : arXiv, 2022 BASE Show details 9 Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ... Lai, Siyu; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 10 Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ... Paschoal, André F. A.; Pirozelli, Paulo; Freire, Valdinei. - : arXiv, 2022 BASE Show details 11 A comparative study of several parameterizations for speaker recognition ... Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 12 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 13 A bilingual approach to specialised adjectives through word embeddings in the karstology domain ... Simeunović, Larisa Grčić; Martinc, Matej; Vintar, Špela. - : arXiv, 2022 BASE Show details 14 Speaker verification in mismatch training and testing conditions ... Faundez-Zanuy, Marcos; Slupinski, Adam. - : arXiv, 2022 BASE Show details 15 Universal Conditional Masked Language Pre-training for Neural Machine Translation ... Li, Pengfei; Li, Liangyou; Zhang, Meng. - : arXiv, 2022 BASE Show details 16 SMDT: Selective Memory-Augmented Neural Document Translation ... Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022 BASE Show details 17 Learning How to Translate North Korean through South Korean ... Kim, Hwichan; Moon, Sangwhan; Okazaki, Naoaki. - : arXiv, 2022 BASE Show details 18 When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ... Mao, Zhuoyuan; Chu, Chenhui; Dabre, Raj. - : arXiv, 2022 BASE Show details 19 Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ... Zhang, Songming; Liu, Yijin; Meng, Fandong. - : arXiv, 2022 BASE Show details 20 Can Synthetic Translations Improve Bitext Quality? ... Briakou, Eleftheria; Carpuat, Marine. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...613

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