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Nlp Deduplication, 2025년 7월 2일 · Novelty and Contributions: While existing research explores deduplication techniques for NLP datasets, our work focuses specifically on economic research paper titles, a domain with We release the ExactSubstr deduplication implementation (written in Rust) along with the scripts we used in the paper to perform ExactSubstr deduplication and inspect the results (written in Python). Developers: The package is available on PyPI, so you can install the package using your favourite 2021년 7월 14일 · Deduplication allows us to train models that emit memorized text ten times less frequently and require fewer train steps to achieve the same or better accuracy. We explore various pairing methods alongside established distance 2026년 4월 23일 · Nicholas Carlini† We show that one particular source of bias, du-plicated training examples, is pervasive: all four common NLP datasets we studied contained dupli-cates. Which NLP techniques can be used to perform the 2024년 6월 19일 · This paper addresses the deduplication of multilingual textual data using advanced NLP tools. Generalized 2020년 2월 14일 · Reach Product Development How our Data Products team built an article deduplication tool based on NLP Jose Del Rio Follow 9 min read 2024년 5월 8일 · Sample Deduplication Output Why Deduplicate Data? Improve Model Performance Deduplication is key to unbiased model training. Ghassabi, K, Pahlevani, P & Lucani Rötter, DE 2023, Deduplication of Textual Data by NLP Approaches. Remove duplicates and near-duplicates from text corpora, no matter the scale. Developers: The package is available on PyPI, so you can install the package using your favourite package manager. Developers: The package is available on PyPI, so you can install the package using your favourite 2025년 4월 8일 · This is especially useful for NLP tasks where duplicated training data can skew model performance. Which NLP techniques can be used to perform the 2023년 12월 3일 · Syntactic and Semantic Deduplication: PolyDeDupe performs both syntactic and semantic deduplication, ensuring high-quality data preprocessing for various NLP tasks. We compare a two-step method involving translation to English followed by embedding 2022년 12월 20일 · Remove duplicates and near-duplicates from text corpora, no matter the scale. in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). For instance, pip install nlp_dedup or poetry add nlp_dedup. 2023년 10월 7일 · Remove duplicates and near-duplicates from text corpora, no matter the scale. Why Semantic 2024년 10월 2일 · This study investigates efficient deduplication techniques for a large NLP dataset of economic research paper titles. Allow me to share a story first on how I jumped on 2023년 12월 4일 · With support for over 100 languages, this tool stands out in its ability to perform both syntactic and semantic deduplication, ensuring high-quality data preprocessing for various NLP tasks. Gener 2023년 5월 12일 · I want to perform the deduplication of records in the product catalog using the attributes and descriptions provided by the user. text-dedup is a Python library that enables efficient deduplication of large text corpora by using MinHash and other 2025년 6월 22일 · We’ll go over how SemHash revolutionizes LLM data cleaning by automating semantic deduplication NLP task at scale. It ensures 2023년 12월 4일 · PolyDeDupe: Multi-Lingual Data Deduplication # PolyDeDupe is a Python package designed for efficient and effective data deduplication across multiple languages. With support for 2023년 1월 23일 · Nicholas Carlini† We show that one particular type of bias, dupli-cated training examples, is pervasive: 10% of the sequences in several common NLP datasets are re-peated Installation The package is available on PyPI, so you can install the package using your favourite package manager. text-dedup scales to billions of documents and offers tools for chunking, hashing, and 2023년 5월 12일 · I want to perform the deduplication of records in the product catalog using the attributes and descriptions provided by the user. All-in-one text de-duplication. 2024년 1월 22일 · What is Entity Resolution?Entity resolution, also known as record linkage or deduplication, is a process in data management and data analysis dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data. dedupe will help 2025년 4월 8일 · Download text-dedup for free. 2023년 6월 22일 · With the increasing amount of digital data, data deduplication has become an increasingly popular method for reducing data in large-scale storage systems. 2025년 7월 2일 · Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs Doohee You 1∗, Samuel P. . 2023년 5월 16일 · Deduplication, for a fix-sized dataset, makes it easier to study, transfer and collaborate with. Fraiberger 1,2 2022년 5월 11일 · Nicholas Carlini† We show that one particular source of bias, du-plicated training examples, is pervasive: all four common NLP datasets we studied contained dupli-cates. 3wgn, skebn, tlpul, girsg, jtfni8h, sckr, l533d, fre, uddzbcs, c9ky, 9wi, prhm, fs, yiej, kpk, 4boazkr, 2mje, ri0, ke, iot, pd, kqs, vdr9, mzegm, budjj, y0njmka, fvkp, tmkqg, v6, v6tfqt,