Djoerd Hiemstra 馃崏
boosted
Look at the beautiful cover of this #IRRJ issue. This is what perfection looks like:
Look at the beautiful cover of this #IRRJ issue. This is what perfection looks like:
The PDF of the full #IRRJ issue, Volume 1 Number 2 of December 2025 is now available online at: https://irrj.org/issue/view/vol1no2 #InformationRetrieval
Djoerd Hiemstra 馃崏
and 1 other
boosted
In the second issue of #IRRJ, Paul Kantor writes the editorial, arguing for a more critical adoption of generative AI in information retrieval. He puts his concerns under three distinct headings: consistency, confidence, and completeness. #GenAI, #GenerativeAI, #InformationRetrieval
In the second issue of #IRRJ, Paul Kantor writes the editorial, arguing for a more critical adoption of generative AI in information retrieval. He puts his concerns under three distinct headings: consistency, confidence, and completeness. #GenAI, #GenerativeAI, #InformationRetrieval
Djoerd Hiemstra 馃崏
boosted
Published at #IRRJ: "Exploring Embedding Interpretability by Correspondences Between Topic Models and Text Embeddings" by Meng Yuan, Lida Rashidi, and Justin Zobel. #InformationRetrieval, #EmbeddingInterpretability, #Explanability, #TopicModelling
Exploring Embedding Interpretability by Correspondences Between Topic Models and Text Embeddings
Djoerd Hiemstra 馃崏
boosted
Djoerd Hiemstra 馃崏
boosted
Published at #IRRJ: "Emancipatory Information Retrieval" by Bhaskar Mitra. #InformationRetrieval, #Society, #EmancipatoryPraxis, #TechnologyAndPower
Emancipatory Information Retrieval
Published at #IRRJ: "Emancipatory Information Retrieval" by Bhaskar Mitra. #InformationRetrieval, #Society, #EmancipatoryPraxis, #TechnologyAndPower
Emancipatory Information Retrieval
Published at #IRRJ: "Exploring Embedding Interpretability by Correspondences Between Topic Models and Text Embeddings" by Meng Yuan, Lida Rashidi, and Justin Zobel. #InformationRetrieval, #EmbeddingInterpretability, #Explanability, #TopicModelling
Exploring Embedding Interpretability by Correspondences Between Topic Models and Text Embeddings
Jan :rust: :ferris:
boosted
Published at #IRRJ: "Graph Embeddings to Empower Entity Retrieval" by Emma J. Gerritse, Faegheh Hasibi, and Arjen P. de Vries. #EntityRetrieval, #KnowledgeGraphEmbeddings, #WordEmbeddings
Graph Embeddings to Empower Entity Retrieval
Jan :rust: :ferris:
boosted
Published at #IRRJ: "Annotative Indexing" by Charles Clarke. #Search, #Indexing, #InvertedIndexes, #MinimalIintervalSemantics
Annotative Indexing
Djoerd Hiemstra 馃崏
boosted
Published at #IRRJ: "Effectiveness of In-Context Learning for Due Diligence: A Reproducibility Study of Identifying Passages for Due Diligence by Madhukar Dwivedi and Jaap Kamps. #InformationRetrieval, #LegalSearch, #DueDiligence, #PassageRetrieval
https://doi.org/10.54195/irrj.22626
Effectiveness of In-Context Learning for Due Diligence
Published at #IRRJ: "Effectiveness of In-Context Learning for Due Diligence: A Reproducibility Study of Identifying Passages for Due Diligence by Madhukar Dwivedi and Jaap Kamps. #InformationRetrieval, #LegalSearch, #DueDiligence, #PassageRetrieval
https://doi.org/10.54195/irrj.22626
Effectiveness of In-Context Learning for Due Diligence
Published at #IRRJ: "Graph Embeddings to Empower Entity Retrieval" by Emma J. Gerritse, Faegheh Hasibi, and Arjen P. de Vries. #EntityRetrieval, #KnowledgeGraphEmbeddings, #WordEmbeddings
Graph Embeddings to Empower Entity Retrieval
Published at #IRRJ: "Annotative Indexing" by Charles Clarke. #Search, #Indexing, #InvertedIndexes, #MinimalIintervalSemantics
Annotative Indexing