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Hits 81 – 100 of 626

81
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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82
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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83
An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method ...
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84
Ranking Facts for Explaining Answers to Elementary Science Questions ...
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85
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models ...
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86
Few-shot Named Entity Recognition with Cloze Questions ...
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87
LMSOC: An Approach for Socially Sensitive Pretraining ...
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88
Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19 ...
Powell, James; Sentz, Kari. - : arXiv, 2021
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89
Fast-Slow Transformer for Visually Grounding Speech ...
Peng, Puyuan; Harwath, David. - : arXiv, 2021
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90
"What can I cook with these ingredients?" -- Understanding cooking-related information needs in conversational search ...
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91
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval ...
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92
News Article Retrieval in Context for Event-centric Narrative Creation ...
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93
Engineering Knowledge Graph from Patent Database ...
Abstract: We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract facts. We aggregate these facts within each patent document and integrate the aggregated sets of facts across the patent database to obtain the engineering knowledge graph. Such a knowledge graph is expected to support inference, reasoning, and recalling in various engineering tasks. The knowledge graph has a greater size and coverage in comparison with the previously used knowledge graphs and semantic networks in the engineering literature. ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Databases cs.DB; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://dx.doi.org/10.48550/arxiv.2106.06739
https://arxiv.org/abs/2106.06739
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94
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering ...
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95
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review ...
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96
Cognitive-aware Short-text Understanding for Inferring Professions ...
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97
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation ...
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98
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models ...
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99
Semantic Answer Similarity for Evaluating Question Answering Models ...
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100
Ranking Clarifying Questions Based on Predicted User Engagement ...
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