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Andrew McCallum

Identifiers

  • name variant Andrew McCallum 0.60 · backfill

Papers (64)

  1. Learned Relay Representations for Forward-Thinking Discrete Diffusion Models cs.LG · 2026 · author #7
  2. Optimal Transport-based Alignment of Learned Character Representations for String Similarity cs.LG · 2019 · author #6
  3. Supervised Hierarchical Clustering with Exponential Linkage cs.LG · 2019 · author #4
  4. Energy and Policy Considerations for Deep Learning in NLP cs.CL · 2019 · author #3
  5. Paper Matching with Local Fairness Constraints cs.DS · 2019 · author #3
  6. The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures cs.CL · 2019 · author #8
  7. Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering cs.CL · 2019 · author #4
  8. OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference cs.IR · 2019 · author #5
  9. Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders cs.CL · 2019 · author #5
  10. Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks cond-mat.mtrl-sci · 2018 · author #9
  11. Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? cs.CL · 2018 · author #2
  12. Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension cs.CL · 2018 · author #5
  13. Embedded-State Latent Conditional Random Fields for Sequence Labeling cs.LG · 2018 · author #5
  14. Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking cs.CL · 2018 · author #5
  15. A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset cs.AI · 2018 · author #6
  16. Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures stat.ML · 2018 · author #4
  17. Linguistically-Informed Self-Attention for Semantic Role Labeling cs.CL · 2018 · author #5
  18. Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings cs.CL · 2018 · author #7
  19. Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction cs.CL · 2018 · author #3
  20. Automatically Extracting Action Graphs from Materials Science Synthesis Procedures cs.CL · 2017 · author #8
  21. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning cs.CL · 2017 · author #8
  22. Finer Grained Entity Typing with TypeNet cs.CL · 2017 · author #4
  23. Attending to All Mention Pairs for Full Abstract Biological Relation Extraction cs.CL · 2017 · author #4
  24. Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection cs.CL · 2017 · author #4
  25. Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling cs.CL · 2017 · author #6
  26. Improved Representation Learning for Predicting Commonsense Ontologies cs.CL · 2017 · author #3
  27. RelNet: End-to-End Modeling of Entities & Relations cs.CL · 2017 · author #3
  28. Dependency Parsing with Dilated Iterated Graph CNNs cs.CL · 2017 · author #2
  29. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks cs.CL · 2017 · author #4
  30. Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples stat.ML · 2017 · author #3
  31. SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications cs.CL · 2017 · author #5
  32. An Online Hierarchical Algorithm for Extreme Clustering cs.LG · 2017 · author #4
  33. End-to-End Learning for Structured Prediction Energy Networks stat.ML · 2017 · author #3
  34. Fast and Accurate Entity Recognition with Iterated Dilated Convolutions cs.CL · 2017 · author #4
  35. Learning a Natural Language Interface with Neural Programmer cs.CL · 2016 · author #4
  36. Ask the GRU: Multi-Task Learning for Deep Text Recommendations stat.ML · 2016 · author #3
  37. Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks cs.CL · 2016 · author #4
  38. Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema cs.CL · 2016 · author #3
  39. Row-less Universal Schema cs.CL · 2016 · author #2
  40. Multilingual Relation Extraction using Compositional Universal Schema cs.CL · 2015 · author #5
  41. Structured Prediction Energy Networks cs.LG · 2015 · author #2
  42. Learning Dynamic Feature Selection for Fast Sequential Prediction cs.CL · 2015 · author #4
  43. Compositional Vector Space Models for Knowledge Base Completion cs.CL · 2015 · author #3
  44. Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space cs.CL · 2015 · author #4
  45. Bethe Projections for Non-Local Inference stat.ML · 2015 · author #4
  46. Word Representations via Gaussian Embedding cs.CL · 2014 · author #2
  47. Training for Fast Sequential Prediction Using Dynamic Feature Selection cs.CL · 2014 · author #3
  48. Lexicon Infused Phrase Embeddings for Named Entity Resolution cs.CL · 2014 · author #3
  49. Learning Soft Linear Constraints with Application to Citation Field Extraction cs.CL · 2014 · author #4
  50. Anytime Belief Propagation Using Sparse Domains stat.ML · 2013 · author #3
  51. Latent Relation Representations for Universal Schemas cs.LG · 2013 · author #3
  52. Learning with Scope, with Application to Information Extraction and Classification cs.LG · 2012 · author #3
  53. Efficiently Inducing Features of Conditional Random Fields cs.LG · 2012 · author #1
  54. An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching cs.LG · 2012 · author #2
  55. Piecewise Training for Undirected Models cs.LG · 2012 · author #2
  56. A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance cs.LG · 2012 · author #1
  57. Improved Dynamic Schedules for Belief Propagation cs.LG · 2012 · author #2
  58. Nonparametric Bayes Pachinko Allocation cs.IR · 2012 · author #3
  59. Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression cs.IR · 2012 · author #2
  60. Alternating Projections for Learning with Expectation Constraints cs.LG · 2012 · author #3
  61. Inference by Minimizing Size, Divergence, or their Sum cs.LG · 2012 · author #3
  62. An Introduction to Conditional Random Fields stat.ML · 2010 · author #2
  63. Distantly Labeling Data for Large Scale Cross-Document Coreference cs.AI · 2010 · author #3
  64. Scalable Probabilistic Databases with Factor Graphs and MCMC cs.DB · 2010 · author #2

Mentions

  • 1301.4293 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1301.0556 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1212.2504 #1 · backfill · confidence 0.70 Andrew McCallum
  • 2605.22967 #7 · arxiv_oai · confidence 0.70 Andrew McCallum
  • 1207.4157 #2 · backfill · confidence 0.70 Andrew McCallum
  • 1207.1409 #2 · backfill · confidence 0.70 Andrew McCallum
  • 1207.1406 #1 · backfill · confidence 0.70 Andrew McCallum
  • 1206.5291 #2 · backfill · confidence 0.70 Andrew McCallum
  • 1206.5270 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1206.3278 #2 · backfill · confidence 0.70 Andrew McCallum
  • 1205.2660 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1203.3511 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1011.4088 #2 · backfill · confidence 0.70 Andrew McCallum
  • 1005.4298 #3 · backfill · confidence 0.70 Andrew McCallum
  • 1005.1934 #2 · backfill · confidence 0.70 Andrew McCallum

Frequent Coauthors