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检索条件"任意字段=Workshop on graph-based methods for natural language processing"
2178 条 记 录,以下是1-10 订阅
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Proceedings of Textgraphs: The 1st workshop on graph-based methods for natural language processing
Proceedings of TextGraphs: The 1st Workshop on Graph-Based M...
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1st workshop on graph-based Algorithms for natural language processing, Textgraphs 2006 at Human language Technologies
The proceedings contain 15 papers. The topics discussed include: a graphical framework for contextual search and name disambiguation in email;graph based semi-supervised approach for information extraction;graph-based...
来源: 评论
Proceedings of Textgraphs@ACL 2017: The 11th workshop on graph-based methods for natural language processing
Proceedings of TextGraphs@ACL 2017: The 11th Workshop on Gra...
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11th workshop on graph-based methods for natural language processing, Textgraphs 2017, in conjunction with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
The proceedings contain 10 papers. The topics discussed include: adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences;merging knowledge bases in different languag...
来源: 评论
Proceedings of Textgraphs@NAACL-HLT 2016: The 10th workshop on graph-based methods for natural language processing
Proceedings of TextGraphs@NAACL-HLT 2016: The 10th Workshop ...
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10th workshop on graph-based methods for natural language processing, Textgraphs 2016, in conjunction with the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human language Technologies, NAACL-HLT 2016
The proceedings contain 6 papers. The topics discussed include: embedding senses for efficient graph-based word sense disambiguation;context tailoring for text normalization;cross-lingual question answering using comm...
来源: 评论
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
COLING 2020 - graph-based methods for natural language processing - Proceedings of the 14th workshop, Textgraphs 2020
COLING 2020 - Graph-Based Methods for Natural Language Proce...
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14th workshop on graph-based methods for natural language processing, Textgraphs 2020, in conjunction with the 28th International Conference on Computational Linguistics, COLING 2020
The proceedings contain 14 papers. The topics discussed include: a survey of embedding models of entities and relationships for knowledge graph completion;graph-based aspect representation learning for entity resoluti...
来源: 评论
EMNLP-IJCNLP 2019 - graph-based methods for natural language processing - Proceedings of the 13th workshop
EMNLP-IJCNLP 2019 - Graph-Based Methods for Natural Language...
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13th workshop on graph-based methods for natural language processing, Textgraphs 2019, in conjunction with the 2019 Conference on Empirical methods in natural language processing and 9th International Joint Conference on natural language processing, EMNLP-IJCNLP 2019
The proceedings contain 23 papers. The topics discussed include: graph-based and graph-supported machine learning and deep learning methods;graph-based and graph-supported deep learning (e.g., graph-based recurrent an...
来源: 评论
The Second workshop on Knowledge-Augmented methods for natural language processing  23
The Second Workshop on Knowledge-Augmented Methods for Natur...
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29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
作者: Yu, Wenhao Tong, Lingbo Shi, Weijia Peng, Nanyun Jiang, Meng Univ Notre Dame Notre Dame IN 46556 USA Univ Washington Seattle WA 98195 USA Univ Calif Los Angeles Los Angeles CA USA
language models are being developed and deployed in many applications, "small"-scale and large-scale, generic and specialized, text-only and multimodal, etc. Meanwhile, the missingness of important knowledge... 详细信息
来源: 评论
NAACL HLT 2018 - graph-based methods for natural language processing, Textgraphs 2018 - Proceedings of the 12th workshop
NAACL HLT 2018 - Graph-Based Methods for Natural Language Pr...
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12th workshop on graph-based methods for natural language processing, Textgraphs 2018 - in conjunction with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human, NAACL HLT 2018
The proceedings contain 8 papers. The topics discussed include: embedding text in hyperbolic spaces;scientific discovery as link prediction in influence and citation graphs;efficient generation and processing of word ...
来源: 评论
Proceedings of Textgraphs@EMNLP 2014: The 9th workshop on graph-based methods for natural language processing
Proceedings of TextGraphs@EMNLP 2014: The 9th Workshop on Gr...
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9th workshop on graph-based methods for natural language processing, Textgraphs 2014, in conjunction with the Conference on Empirical methods in natural language processing, EMNLP 2014
The proceedings contain 8 papers. The topics discussed include: normalized entity graph for computing local coherence;exploiting timegraphs in temporal relation classification;multi-document summarization using bipart...
来源: 评论
NLPCSS 2022 - 5th workshop on natural language processing and Computational Social Science ,NLP+CSS, Held at the 2022 Conference on Empirical methods in natural language processing, EMNLP 2022
NLPCSS 2022 - 5th Workshop on Natural Language Processing an...
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5th workshop on natural language processing and Computational Social Science, NLPCSS 2022, Held at the 2022 Conference on Empirical methods in natural language processing, EMNLP 2022
The proceedings contain 21 papers. The topics discussed include: improving the generalizability of text-based emotion detection by leveraging transformers with psycholinguistic features;fine-grained extraction and cla...
来源: 评论