Language Technologies |

TR-TEB: a Turkish text embedding benchmark at LREC 2026

Fri, 01 May 2026 00:00:00 +0000

appeared in the proceedings of LREC 2026. The benchmark offers a standardized evaluation of Turkish text embeddings and reports results for 45 open-source models. The paper is available in the .

TR-TEB: Turkish Text Embedding Benchmark

Fri, 01 May 2026 00:00:00 +0000

Presents TR-TEB, a standardized and reproducible benchmark for Turkish text embeddings. It covers five task categories (classification, pair classification, clustering, retrieval and semantic textual similarity), combines 14 open-source resources, 26 translated datasets and 7 new Turkish-specific datasets, and evaluates 45 open-source embedding models.

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Explainable Bad Check Risk Using Hybrid Machine Learning and Large Language Models in Natural Language

Thu, 01 Jan 2026 00:00:00 +0000

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A proposed new metric for the conceptual diversity of a text

Wed, 27 Dec 2023 00:00:00 +0000

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Multimodal Speech Emotion and Text Sentiment Analysis

Sun, 01 Jan 2023 00:00:00 +0000

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