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检索条件"任意字段=15th Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs 2021"
20 条 记 录,以下是1-10 订阅
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textgraphs 2021 - graph-based methods for natural language processing, Proceedings of the 15th workshop - in conjunction with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2021
TextGraphs 2021 - Graph-Based Methods for Natural Language P...
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
the proceedings contain 20 papers. the topics discussed include: bootstrapping large-scale fine-grained contextual advertising classifier from Wikipedia;modeling graph structure via relative position for text generati...
来源: 评论
textgraphs-15 Shared Task System Description : Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings  15
Textgraphs-15 Shared Task System Description : Multi-Hop Inf...
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
作者: Kalyan, Vivek Witteveen, Sam Andrews, Martin Singapore Singapore Red Dragon AI Singapore
Creating explanations for answers to science questions is a challenging task that requires multi-hop inference over a large set of fact sentences. this year, to refocus the textgraphs Shared Task on the problem of gat... 详细信息
来源: 评论
MG-BERT: Multi-graph Augmented BERT for Masked language Modeling  15
MG-BERT: Multi-Graph Augmented BERT for Masked Language Mode...
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
作者: Ghader, Parishad Behnam Zakerinia, Hossein Baghshah, Mahdieh Soleymani Sharif University of Technology Tehran Iran
Pre-trained models like Bidirectional Encoder Representations from Transformers (BERT), have recently made a big leap forward in natural language processing (NLP) tasks. However, there are still some shortcomings in t... 详细信息
来源: 评论
COLING 2022 - Proceedings of textgraphs-16: graph-based methods for natural language processing, NLP 2022 - 29th International Conference on Computational Linguistics
COLING 2022 - Proceedings of TextGraphs-16: Graph-based Meth...
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16th workshop on graph-based methods for natural language processing, textgraphs 2022, in conjunction with the 29th International Conference on Computational Linguistics, COLING 2022
the proceedings contain 15 papers. the topics discussed include: multilevel hypernode graphs for effective and efficient entity linking;cross-modal contextualized hidden state projection method for expanding of taxono...
来源: 评论
Improving Human Text Simplification with Sentence Fusion  15
Improving Human Text Simplification with Sentence Fusion
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
作者: Schwarzer, Max Tanprasert, Teerapaun Kauchak, David Mila University of Montreal Canada Computer Science Department Pomona College United States
the quality of fully automated text simplification systems is not good enough for use in real-world settings;instead, human simplifications are used. In this paper, we examine how to improve the cost and quality of hu... 详细信息
来源: 评论
DeepBlueAI at textgraphs 2021 Shared Task: Treating Multi-Hop Inference Explanation Regeneration as A Ranking Problem  15
DeepBlueAI at TextGraphs 2021 Shared Task: Treating Multi-Ho...
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
作者: Pan, Chunguang Song, Bingyan Luo, Zhipeng Co. Ltd China
this paper describes the winning system for textgraphs 2021 shared task: Multi-hop inference explanation regeneration. Given a question and its corresponding correct answer, this task aims to select the facts that can... 详细信息
来源: 评论
textgraphs 2022 Shared Task on natural language Premise Selection  16
TextGraphs 2022 Shared Task on Natural Language Premise Sele...
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16th workshop on graph-based methods for natural language processing, textgraphs 2022, in conjunction with the 29th International Conference on Computational Linguistics, COLING 2022
作者: Valentino, Marco Ferreira, Deborah thayaparan, Mokanarangan Freitas, André Ustalov, Dmitry Idiap Research Institute Switzerland University of Manchester United Kingdom Toloka Serbia
the Shared Task on natural language Premise Selection (NLPS) asks participants to retrieve the set of premises that are most likely to be useful for proving a given mathematical statement from a supporting knowledge b... 详细信息
来源: 评论
Sharing Parameter by Conjugation for Knowledge graph Embeddings in Complex Space  16
Sharing Parameter by Conjugation for Knowledge Graph Embeddi...
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16th workshop on graph-based methods for natural language processing, textgraphs 2022, in conjunction with the 29th International Conference on Computational Linguistics, COLING 2022
作者: Feng, Xincan Qu, Zhi Cheng, Yuchang Watanabe, Taro Yugami, Nobuhiro Natural Language Processing Laboratory Nara Institute of Science and Technology Japan Multilingual Knowledge Computing Laboratory Fujitsu Ltd Japan
A Knowledge graph (KG) is the directed graphical representation of entities and relations in the real world. KG can be applied in diverse natural language processing (NLP) tasks where knowledge is required. the need t... 详细信息
来源: 评论
textgraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration  15
TextGraphs 2021 Shared Task on Multi-Hop Inference for Expla...
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15th workshop on graph-based methods for natural language processing, textgraphs 2021
作者: thayaparan, Mokanarangan Valentino, Marco Jansen, Peter Ustalov, Dmitry Department of Computer Science University of Manchester United Kingdom School of Information University of Arizona United States Crowdsourcing Research Group Yandex Russia
the Shared Task on Multi-Hop Inference for Explanation Regeneration asks participants to compose large multi-hop explanations to questions by assembling large chains of facts from a supporting knowledge base. While pr... 详细信息
来源: 评论
Resolving duplicates in Large Multiple-Choice Questions Repositories  20
Resolving duplicates in Large Multiple-Choice Questions Repo...
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20th Conference on Information and Research Science Connecting to Digital and Library Science, IRCDL 2024
作者: Albano, Valentina Firmani, Donatella Laura, Luigi Mathew, Jerin George Paoletti, Anna Lucia Torrente, Irene Dip. Funzione Pubblica Corso Vittorio Emanuele II 116 Rome00186 Italy Sapienza University Piazzale Aldo Moro 5 Rome00185 Italy Uninettuno University Corso Vittorio Emanuele II 39 Rome00186 Italy Formez Viale Marx 15 Rome00137 Italy
Multiple-choice questions (MCQs) are commonly used in educational assessments and professional certification examinations. However, managing vast collections of MCQs presents numerous challenges, including maintaining... 详细信息
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