Wikimarks

Author:

Dietz Laura1,Chatterjee Shubham1,Lennox Connor1,Kashyapi Sumanta1,Oza Pooja1,Gamari Ben2

Affiliation:

1. University of New Hampshire, Durham, NH, USA

2. Well-Typed LLP, London, United Kingdom

Funder

National Science Foundation

Publisher

ACM

Reference29 articles.

1. Rami Aly , Zhijiang Guo , Michael Sejr Schlichtkrull , James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, and Arpit Mittal. 2021 . FEVEROUS : Fact Extraction and VERification Over Unstructured and Structured information. arxiv: 2106.05707 [cs.CL] Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, and Arpit Mittal. 2021. FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. arxiv: 2106.05707 [cs.CL]

2. SECTOR: A Neural Model for Coherent Topic Segmentation and Classification

3. Pseudo test collections for learning web search ranking functions

4. Building simulated queries for known-item topics

5. Using titles and category names from editor-driven taxonomies for automatic evaluation

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Natural Language Processing in Knowledge-Based Support for Operator Assistance;Applied Sciences;2024-03-26

2. Simulating Follow-Up Questions in Conversational Search;Lecture Notes in Computer Science;2024

3. Perspectives on Large Language Models for Relevance Judgment;Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval;2023-08-09

4. Topic-Mono-BERT: A Joint Retrieval-Clustering System for Retrieving Overview Passages;Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation;2022-12-09

5. Answering Topical Information Needs Using Neural Entity-Oriented Information Retrieval and Extraction;ACM SIGIR Forum;2022-12

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