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2. Understanding and Estimating Domain Complexity Across Domains

3. HALO: An Ontology for Representing Hallucinations in Generative Models

4. How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?

5. A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain

6. A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores

7. Named Entity Resolution in Personal Knowledge Graphs

8. A structural study of Big Tech firm-switching of inventors in the post-recession era

9. Toward Defining a Domain Complexity Measure Across Domains

10. A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning

12. On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product

13. Can Language Representation Models Think in Bets?

14. Understanding Substructures in Commonsense Relations in ConceptNet

15. Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes

20. Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing

21. A Theoretically Grounded Benchmark for Evaluating Machine Commonsense

22. Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?

24. Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter

25. Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing.

29. Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets

33. Evaluating Language Representation Models on Approximately Rational Decision Making Problems

34. Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach

36. Populating a Linked Data Entity Name System : A Big Data Solution to Unsupervised Instance Matching

37. A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base

38. Do Fine-tuned Commonsense Language Models Really Generalize?

40. On using Product-Specific from Web Data Commons: An Empirical Set of Best Practices

41. An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction

55. Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics

56. A Pipeline for Post-Crisis Twitter Data Acquisition

57. FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining

58. Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection

59. Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages

60. Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain

61. Supervised Typing of Big Graphs using Semantic Embeddings

62. Information Extraction in Illicit Domains

63. An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets

64. Experience: Type alignment on DBpedia and Freebase

65. Self-contained NoSQL Resources for Cross-Domain RDF

66. Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs

68. A DNF Blocking Scheme Learner for Heterogeneous Datasets

69. On the Complexity of Sorted Neighborhood

96. On using centrality to understand importance of entities in the Panama Papers.


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