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Publication search results
found 273 matches
- 2023
- Salima Lamsiyah, Abdelkader El Mahdaouy, Said Ouatik El Alaoui, Bernard Espinasse:
Unsupervised query-focused multi-document summarization based on transfer learning from sentence embedding models, BM25 model, and maximal marginal relevance criterion. J. Ambient Intell. Humaniz. Comput. 14(3): 1401-1418 (2023) - Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17(1): 3:1-3:39 (2023) - Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. ACL (Findings) 2023: 12908-12922 - Shaoyao Huang, Luozheng Qin, Ziqiang Cao:
Diffusion Language Model with Query-Document Relevance for Query-Focused Summarization. EMNLP (Findings) 2023: 11020-11030 - Abdulrahman Mohsen Ahmed Zeyad, Arun Biradar:
Abstractive Multi-Document Summarization: Exploiting Maximal Marginal Relevance and Pretrained Models. ICCCNT 2023: 1-5 - Eilon Sheetrit, Fiana Raiber, Oren Kurland:
Entity-Based Relevance Feedback for Document Retrieval. ICTIR 2023: 177-187 - Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. ICTIR 2023: 205-214 - Olga L. Giraldo, María Fernanda Cadena, Andrea Robayo-Gama, Dhwani Solanki, Tim Fellerhoff, Lukas Geist, Rohitha Ravinder, Muhammad Talha, Dietrich Rebholz-Schuhmann, Leyla Jael Castro:
Document-to-document relevance assessment for TREC Genomics Track 2005. SWAT4HCLS 2023: 98-101 - Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeffrey Dalton, Fabio Crestani:
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval. CoRR abs/2306.09938 (2023) - Rishabh Upadhyay, Arian Askari, Gabriella Pasi, Marco Viviani:
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking. CoRR abs/2306.10979 (2023) - Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. CoRR abs/2310.05991 (2023) - 2022
- Erik Novak, Luka Bizjak, Dunja Mladenic, Marko Grobelnik:
Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval. Knowl. Based Syst. 244: 108545 (2022) - Robin Haunschild, Lutz Bornmann:
Relevance of document types in the scores' calculation of a specific field-normalized indicator: Are the scores strongly dependent on or nearly independent of the document type handling? Scientometrics 127(8): 4419-4438 (2022) - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? ACM Trans. Inf. Syst. 40(4): 76:1-76:35 (2022) - Neelamadhav Gantayat, Prateeti Mohapatra:
Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach. COMAD/CODS 2022: 120-124 - Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. EMNLP 2022: 8988-9005 - Jihyuk Kim, Seung-won Hwang, Seoho Song, Hyeseon Ko, Young-In Song:
Pseudo-Relevance for Enhancing Document Representation. EMNLP 2022: 11639-11652 - Verónica Neri Mendoza, Yulia Ledeneva, René Arnulfo García-Hernández, Ángel Hernández-Castañeda:
Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features. MCPR 2022: 255-265 - Qian Cheng, Youwei Zhang, Bing Xue, Fangli Ge, Wenqing Yao:
Relevance calculation of users' document sending behavior under the network social platform. MLNLP 2022: 41-47 - Youngwoo Kim, Razieh Rahimi, James Allan:
Alignment Rationale for Query-Document Relevance. SIGIR 2022: 2489-2494 - Kevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini:
Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. WWW 2022: 319-327 - Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. CoRR abs/2210.10695 (2022) - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (Corrected Version). CoRR abs/2211.00981 (2022) - David Adams, Gandharv Suri, Yllias Chali:
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization. CoRR abs/2211.10808 (2022) - 2021
- Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo:
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183: 115335 (2021) - Alberto Purpura, Gian Antonio Susto:
A Bayesian Neural Model for Documents' Relevance Estimation. DESIRES 2021: 156-161 - Anastasia Taranova, Martin Braschler:
Textual Complexity as an Indicator of Document Relevance. ECIR (2) 2021: 410-417 - Drahomira Herrmannova, Chathika Gunaratne, Vickie Walker, Andrew A. Rooney, Robert M. Patton, Mary Wolfe, Charles Schmitt:
Weak Supervision for Scientific Document Relevance Tagging. JCDL 2021: 338-339 - Suhail Ahamed, Gabriele Weiler, Karl Boden, Kai Januschowski, Matthias Stennes, Patrick McCrae, Cornelia Bock, Carina Rawein, Marco Petris, Kilian Foth, Kerstin Rohm, Stephan Kiefer:
Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation. MIE 2021: 63-67 - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors. SIGIR 2021: 2376-2382
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