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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 Hits 1 – 8 of 8 1 Directed Acyclic Graph Network for Conversational Emotion Recognition ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Quan, Xiaojun; Shen, Weizhou. - : Underline Science Inc., 2021 BASE Show details 2 Psycholinguistic Tripartite Graph Network for Personality Detection ... Yang, Tao; Yang, Feifan; Ouyang, Haolan. - : arXiv, 2021 BASE Show details 3 Psycholinguistic Tripartite Graph Network for Personality Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ouyang, Haolan; Quan, Xiaojun; Yang, Tao; Yang, Feifan. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.326 Abstract: Most of the recent work on personality detection from online posts adopts multifarious deep neural networks to represent the posts and builds predictive models in a data-driven manner, without the exploitation of psycholinguistic knowledge that may unveil the connections between one's language use and his psychological traits. In this paper, we propose a psycholinguistic knowledge-based tripartite graph network, TrigNet, which consists of a tripartite graph network and a BERT-based graph initializer. The graph network injects structural psycholinguistic knowledge in LIWC, a computerized instrument for psycholinguistic analysis, by constructing a heterogeneous tripartite graph. The initializer is employed to provide initial embeddings for the graph nodes. To reduce the computational cost in graph learning, we further propose a novel flow graph attention network (GAT) that only transmits messages between neighboring parties in the tripartite ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Psycholinguistics; Semantics URL: https://underline.io/lecture/26031-psycholinguistic-tripartite-graph-network-for-personality-detection https://dx.doi.org/10.48448/6mpz-7y28 BASE Hide details 4 Embedding Dynamic Attributed Networks by Modeling the Evolution Processes ... Xu, Zenan; Ou, Zijing; Su, Qinliang. - : arXiv, 2020 BASE Show details 5 Multi-choice Relational Reasoning for Machine Reading Comprehension ... The 28th International Conference on Computational Linguistics 2020; Chen, Wuya; Kit, Chunyu. - : Underline Science Inc., 2020 BASE Show details 6 Constituency Lattice Encoding for Aspect Term Extraction ... The 28th International Conference on Computational Linguistics 2020; Li, Kun; Quan, Xiaojun. - : Underline Science Inc., 2020 BASE Show details 7 Syntax-Enhanced Pre-trained Model ... Xu, Zenan; Guo, Daya; Tang, Duyu. - : arXiv, 2020 BASE Show details 8 BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ... Wang, Kai; Quan, Xiaojun; Wang, Rui. - : arXiv, 2019 BASE Show details

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