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MohammadSaleh Hosseini

2 accepted papers

2023

BERT Has More to Offer: BERT Layers Combination Yields Better Sentence Embeddings

EMNLP 2023short findings

Obtaining sentence representations from BERT-based models as feature extractors is invaluable as it takes much less time to pre-compute a one-time representation of the data and then use it for the downstream tasks, rather than fine-tune the whole BERT. Most previous works acquire a sentence's repre…

Cited by 0SourceScholar
2022

ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence

NAACL 2022long

Analyzing conflicts and political violence around the world is a persistent challenge in the political science and policy communities due in large part to the vast volumes of specialized text needed to monitor conflict and violence on a global scale. To help advance research in political science, we…