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BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information
Research article (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023) · cited 12× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. Retrieved May 24, 2026, from https://4ort.xyz/entity/bitimebert-extending-pre-trained-language-representations-with-bi-temporal-information
MLA“BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bitimebert-extending-pre-trained-language-representations-with-bi-temporal-information.
BibTeX@misc{4ortxyz_bitimebert-extending-pre-trained-language-representations-with-bi-temporal-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information}}, year = {2026}, url = {https://4ort.xyz/entity/bitimebert-extending-pre-trained-language-representations-with-bi-temporal-information}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information — https://4ort.xyz/entity/bitimebert-extending-pre-trained-language-representations-with-bi-temporal-information (retrieved 2026-05-24)