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Publication search results
found 267 matches
- 2024
- Shruti Singh, Rishabh Gupta:
Sparse Graph Representations for Procedural Instructional Documents. CoRR abs/2402.03957 (2024) - Tamara Czinczoll, Christoph Hönes, Maximilian Schall, Gerard de Melo:
NextLevelBERT: Investigating Masked Language Modeling with Higher-Level Representations for Long Documents. CoRR abs/2402.17682 (2024) - 2023
- Li Liu, Yue Lu, Ching Y. Suen:
End-to-end learning of representations for instance-level document image retrieval. Appl. Soft Comput. 136: 110136 (2023) - Joel Mackenzie, Andrew Trotman, Jimmy Lin:
Efficient Document-at-a-time and Score-at-a-time Query Evaluation for Learned Sparse Representations. ACM Trans. Inf. Syst. 41(4): 96:1-96:28 (2023) - Anastasia Razdaibiedina, Aleksander Brechalov:
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents. ACL (2) 2023: 530-539 - Ryuki Ida, Makoto Miwa, Yutaka Sasaki:
Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities. BioNLP@ACL 2023: 385-395 - Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas:
DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. EANN 2023: 585-598 - Sara Salamat, Negar Arabzadeh, Fattane Zarrinkalam, Morteza Zihayat, Ebrahim Bagheri:
Learning Query-Space Document Representations for High-Recall Retrieval. ECIR (2) 2023: 599-607 - Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman:
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. EMNLP 2023: 5548-5566 - Barry Wang, Xinya Du, Claire Cardie:
Probing Representations for Document-level Event Extraction. EMNLP (Findings) 2023: 12675-12683 - Oliver Tüselmann, Gernot A. Fink:
Exploring Semantic Word Representations for Recognition-Free NLP on Handwritten Document Images. ICDAR (4) 2023: 85-100 - Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak:
Inducing Document Representations from Graphs: A Blueprint. Tiny Papers @ ICLR 2023 - Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin:
Learning Discrete Document Representations in Web Search. KDD 2023: 4185-4194 - Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) 2023: 185-197 - Joseba Fernandez de Landa, Rodrigo Agerri:
HiTZ-IXA at PoliticES-IberLEF2023: Document and Sentence Level Text Representations for Demographic Characteristics and Political Ideology Detection. IberLEF@SEPLN 2023 - Bhargav Shandilya, Alexis Palmer:
Lightweight morpheme labeling in context: Using structured linguistic representations to support linguistic analysis for the language documentation context. SIGMORPHON 2023: 78-92 - Oliver Strauß, Holger Kett:
Documents as Intelligent Agents: An Approach to Optimize Document Representations in Semantic Search. WEBIST 2023: 164-175 - Anastasia Razdaibiedina, Alexander Brechalov:
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents. CoRR abs/2305.04177 (2023) - Barry Wang, Xinya Du, Claire Cardie:
Probing Representations for Document-level Event Extraction. CoRR abs/2310.15316 (2023) - 2022
- Han Han:
Designing Representations for Digital Documents. (Conception de représentations pour les documents numériques). University of Paris-Saclay, France, 2022 - Berke Oral, Gülsen Eryigit:
Fusion of visual representations for multimodal information extraction from unstructured transactional documents. Int. J. Document Anal. Recognit. 25(3): 187-205 (2022) - David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13(2): 151-161 (2022) - Jing Liu, Yue Wang, Lihua Huang, Chenghong Zhang, Songzheng Zhao:
Identifying Adverse Drug Reaction-Related Text from Social Media: A Multi-View Active Learning Approach with Various Document Representations. Inf. 13(4): 189 (2022) - Marcin Roszkowski, Bartlomiej Wlodarczyk:
COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations. J. Documentation 78(2): 242-263 (2022) - Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. ACL (2) 2022: 442-452 - Yingrui Yang, Yifan Qiao, Tao Yang:
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking. ACL (1) 2022: 695-707 - Subhash Chandra Pujari, Fryderyk Mantiuk, Mark Giereth, Jannik Strötgen, Annemarie Friedrich:
Evaluating Neural Multi-Field Document Representations for Patent Classification. BIR@ECIR 2022: 13-27 - Camille Gobert, Michel Beaudouin-Lafon:
i-LaTeX : Manipulating Transitional Representations between LaTeX Code and Generated Documents. CHI 2022: 554:1-554:16 - Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee:
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. CIKM 2022: 272-282 - Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. EMNLP 2022: 11670-11688
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