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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...46 47 48 49 50 51 52 Hits 981 – 1.000 of 1.029 981 Linking learning to language typology ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Culbertson, Jennifer. - : Underline Science Inc., 2021 BASE Show details 982 Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Siddhant; Baths, Veeky. - : Underline Science Inc., 2021 BASE Show details 983 A Corpus-based Syntactic Analysis of Two-termed Unlike Coordination ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Fellbaum, Christiane; Kallini, Julie. - : Underline Science Inc., 2021 BASE Show details 984 A Fine-grained Annotated Corpus for Target-Based Opinion Analysis in Economy - Finance ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; HU, Jiahui; Paroubek, Patrick. - : Underline Science Inc., 2021 BASE Show details 985 Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Taktasheva, Ekaterina. - : Underline Science Inc., 2021 BASE Show details 986 On the Relation between Syntactic Divergence and Zero-Shot Performance ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arviv, Ofir; Nikolaev, Dmitry. - : Underline Science Inc., 2021 BASE Show details 987 Discovering Representation Sprachbund For Multilingual Pre-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Alexandre; Duan, Nan. - : Underline Science Inc., 2021 BASE Show details 988 AESOP: Paraphrase Generation with Adaptive Syntactic Control ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ma, Xuezhe; Peng, Nanyun. - : Underline Science Inc., 2021 BASE Show details 989 Anatomy of OntoGUM---Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pradhan, Sameer; Zeldes, Amir. - : Underline Science Inc., 2021 BASE Show details 990 Joint Universal Syntactic and Semantic Parsing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Murray, Kenton; Stengel-Eskin, Elias. - : Underline Science Inc., 2021 BASE Show details 991 Exploring the Role of BERT Token Representations to Explain Sentence Probing Results ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ali; Mohebbi, Hosein. - : Underline Science Inc., 2021 BASE Show details 992 Discovering Representation Sprachbund For Multilingual Pre-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 993 Syntax Role for Neural Semantic Role Labeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cai, Jiaxun; He, Shexia. - : Underline Science Inc., 2021 BASE Show details 994 How much pretraining data do language models need to learn syntax? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ballesteros, Miguel; Pérez-Mayos, Laura. - : Underline Science Inc., 2021 BASE Show details 995 Probing Pre-trained Language Models for Semantic Attributes and their Values ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Beloucif, Meriem; Biemann, Chris. - : Underline Science Inc., 2021 BASE Show details 996 Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jimmy; Deshmukh, Anup Anand. - : Underline Science Inc., 2021 BASE Show details 997 Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Zeyu. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.546/ Abstract: We study Comparative Preference Classification (CPC) which aims at predicting whether a preference comparison exists between two entities in a given sentence and, if so, which entity is preferred over the other. High-quality CPC models can significantly benefit applications such as comparative question answering and review-based recommendations. Among the existing approaches, non-deep learning methods suffer from inferior performances. The state-of-the-art graph neural network-based ED-GAT (Ma et al., 2020) only considers syntactic information while ignoring the critical semantic relations and the sentiments to the compared entities. We proposed sentiment Analysis Enhanced COmparative Network (SAECON) which improves CPC ac-curacy with a sentiment analyzer that learns sentiments to individual entities via domain adaptive knowledge transfer. Experiments on the CompSent-19 (Panchenko et al., 2019) dataset present a significant ... Keyword: Computational Linguistics; Deep Learning; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://underline.io/lecture/37578-powering-comparative-classification-with-sentiment-analysis-via-domain-adaptive-knowledge-transfer https://dx.doi.org/10.48448/0cfw-0230 BASE Hide details 998 Improving Text Generation via Neural Discourse Planning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chernyavskiy, Alexander; Ilvovsky, Dmitry. - : Underline Science Inc., 2021 BASE Show details 999 The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aina, Laura; Linzen, Tal. - : Underline Science Inc., 2021 BASE Show details 1000 Test Harder than You Train: Probing with Extrapolation Splits ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kunz, Jenny. - : Underline Science Inc., 2021 BASE Show details Page: 1...46 47 48 49 50 51 52

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