All Stories

  1. Towards Effective and Efficient Sparse Neural Information Retrieval
  2. Simple Domain Adaptation for Sparse Retrievers
  3. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
  4. XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments
  5. CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
  6. From Distillation to Hard Negative Sampling
  7. Which Discriminator for Cooperative Text Generation?
  8. On the Study of Transformers for Query Suggestion
  9. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
  10. Experimaestro and Datamaestro
  11. Incorporating Visual Semantics into Sentence Representations within a Grounded Space
  12. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
  13. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
  14. Self-Attention Architectures for Answer-Agnostic Neural Question Generation
  15. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks
  16. Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification
  17. Advances in Information Retrieval
  18. Gaussian Embeddings for Collaborative Filtering
  19. Leveraging Rating Behavior to Predict Negative Social Ties
  20. Model Based Comparison of Discounted Cumulative Gain and Average Precision
  21. On using a quantum physics formalism for multidocument summarization
  22. Precision recall with user modeling (PRUM)
  23. A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection
  24. An Algebra for Structured Queries in Bayesian Networks
  25. A Machine Learning Model for Information Retrieval with Structured Documents