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20172026
most citedOptimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

266 citations · 739 across the 24 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.IR2020★ 1 cited

The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

Nils Reimers, Iryna Gurevych

Information Retrieval using dense low-dimensional representations recently became popular and showed out-performance to traditional sparse-representations like BM25. However, no pr…

cs.CL2020

Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora

Michael Bugert, Nils Reimers, Iryna Gurevych

Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of events need to be identified and clustered throughout a collection of documents. CDCR aims to…

cs.LG2020

AdapterDrop: On the Efficiency of Adapters in Transformers

Andreas Rücklé, Gregor Geigle, Max Glockner +4

Massively pre-trained transformer models are computationally expensive to fine-tune, slow for inference, and have large storage requirements. Recent approaches tackle these shortco…

cs.CL2020★ 3 cited

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Nandan Thakur, Nils Reimers, Johannes Daxenberger +1

There are two approaches for pairwise sentence scoring: Cross-encoders, which perform full-attention over the input pair, and Bi-encoders, which map each input independently to a d…

cs.CL2020★ 30 cited

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Nils Reimers, Iryna Gurevych

We present an easy and efficient method to extend existing sentence embedding models to new languages. This allows to create multilingual versions from previously monolingual model…