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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...15 Hits 1 – 20 of 294 1 Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications Lentschat, Martin; Buche, Patrice; Dibie-Barthelemy, Juliette... In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022) BASE Show details 2 MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction Nan Li; Qiang Shen; Rui Song; Yang Chi; Hao Xu In: Information; Volume 13; Issue 2; Pages: 91 (2022) BASE Show details 3 Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System Taniya Hasija; Virender Kadyan; Kalpna Guleria; Abdullah Alharbi; Hashem Alyami; Nitin Goyal In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022) BASE Show details 4 Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques Boros, Emanuela; Hamdi, Ahmed; Linhares Pontes, Elvys... In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021) BASE Show details 5 LILLIE : information extraction and database integration using linguistics and learning-based algorithms ... Smith, Ellery; Papadopoulos, Dimitris; Braschler, Martin. - : Elsevier, 2021 BASE Show details 6 Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction Jen, Chun-Heng. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021 BASE Show details 7 Data for Cyrillic Reference Parsing ... Shapiro, Igor; Saier, Tarek; Färber, Michael. - : Zenodo, 2021 BASE Show details 8 Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ... Krause, Johan; Shapiro, Igor; Saier, Tarek. - : Zenodo, 2021 BASE Show details 9 Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ... Krause, Johan; Shapiro, Igor; Saier, Tarek. - : Zenodo, 2021 BASE Show details 10 Data for Cyrillic Reference Parsing ... Shapiro, Igor; Saier, Tarek; Färber, Michael. - : Zenodo, 2021 BASE Show details 11 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 12 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 13 HittER: Hierarchical Transformers for Knowledge Graph Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Sanxing; Gao, Jianfeng. - : Underline Science Inc., 2021 BASE Show details 14 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding, Haoran; Luo, Xiao. - : Underline Science Inc., 2021 BASE Show details 15 Corpus-based Open-Domain Event Type Induction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shen, Jiaming. - : Underline Science Inc., 2021 BASE Show details 16 Extracting Event Temporal Relations via Hyperbolic Geometry ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tan, Xingwei. - : Underline Science Inc., 2021 BASE Show details 17 Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Collins, Michael; Effland, Thomas. - : Underline Science Inc., 2021 BASE Show details 18 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Jiawei. - : Underline Science Inc., 2021 BASE Show details 19 Corrected CBOW Performs as well as Skip-gram ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Karl; Benton, Adrian. - : Underline Science Inc., 2021 BASE Show details 20 An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yi. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.210/ Abstract: Auxiliary information from multiple sources has been demonstrated to be effective in zero-shot fine-grained entity typing (ZFET). However, there lacks a comprehensive understanding about how to make better use of the existing information sources and how they affect the performance of ZFET. In this paper, we empirically study three kinds of auxiliary information: {context consistency}, {type hierarchy} and {background knowledge} (e.g., prototypes and descriptions) of types, and propose a multi-source fusion model (MSF) targeting these sources. The performance obtains up to 11.42% and 22.84% absolute gains over state-of-the-art baselines on BBN and Wiki respectively with regard to macro F1 scores. More importantly, we further discuss the characteristics, merits and demerits of each information source and provide an intuitive understanding of the complementarity among them. ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/ym6r-8p79 https://underline.io/lecture/37562-an-empirical-study-on-multiple-information-sources-for-zero-shot-fine-grained-entity-typing BASE Hide details Page: 1 2 3 4 5...15

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