736 results on '"W. Bruce Croft"'
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2. Dense Retrieval Adaptation using Target Domain Description.
3. Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations.
4. A Non-Factoid Question-Answering Taxonomy.
5. Generalized Weak Supervision for Neural Information Retrieval.
6. Passage Similarity and Diversification in Non-factoid Question Answering.
7. Asking Clarifying Questions Based on Negative Feedback in Conversational Search.
8. AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization.
9. Learning Multiple Intent Representations for Search Queries.
10. Evaluating Fairness in Argument Retrieval.
11. Weakly-Supervised Open-Retrieval Conversational Question Answering.
12. Quantifying Human-Perceived Answer Utility in Non-factoid Question Answering.
13. An Intent Taxonomy for Questions Asked in Web Search.
14. Passage Retrieval for Outside-Knowledge Visual Question Answering.
15. Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.
16. IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
17. Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation.
18. Providing Direct Answers in Search Results: A Study of User Behavior.
19. Learning a Joint Search and Recommendation Model from User-Item Interactions.
20. ANTIQUE: A Non-factoid Question Answering Benchmark.
21. Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search.
22. Recipe Retrieval with Visual Query of Ingredients.
23. Open-Retrieval Conversational Question Answering.
24. Contextual Re-Ranking with Behavior Aware Transformers.
25. A Transformer-based Embedding Model for Personalized Product Search.
26. Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants.
27. The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval.
28. Performance Prediction for Non-Factoid Question Answering.
29. Learning a Better Negative Sampling Policy with Deep Neural Networks for Search.
30. An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists.
31. A Study of Context Dependencies in Multi-page Product Search.
32. Attentive History Selection for Conversational Question Answering.
33. Conversational Product Search Based on Negative Feedback.
34. A Hybrid Retrieval-Generation Neural Conversation Model.
35. Correcting for Recency Bias in Job Recommendation.
36. A Zero Attention Model for Personalized Product Search.
37. Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching.
38. How do Computer Scientists Use Google Scholar?: A Survey of User Interest in Elements on SERPs and Author Profile Pages.
39. Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.
40. User Intent Prediction in Information-seeking Conversations.
41. Answer Interaction in Non-factoid Question Answering Systems.
42. Asking Clarifying Questions in Open-Domain Information-Seeking Conversations.
43. BERT with History Answer Embedding for Conversational Question Answering.
44. Explainable Product Search with a Dynamic Relation Embedding Model.
45. A review of public datasets in question answering research.
46. RMIT at TREC 2021 Fair Ranking Track.
47. On the Theory of Weak Supervision for Information Retrieval.
48. Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks.
49. Exploring Diversification In Non-factoid Question Answering.
50. Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.
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