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Nina Poerner

Observed names: Nina Pörner, Poerner, Nina, Pörner, Nina Mareike
ORCID: 0000-0002-1292-7052
Observed ORCID: 0000-0002-1292-7052
OpenAlex ID: A5042212425
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT
2020 · Nina Poerner, Ulli Waltinger, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 146
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Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
2018 · Nina Poerner, Hinrich Schütze, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 78
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BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA.
2019 · Nina Pörner, Ulli Waltinger, et al. · arXiv (Cornell University) · 48
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA
2020 · Nina Poerner, Ulli Waltinger, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 38
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Interpretable Question Answering on Knowledge Bases and Text
2019 · Alona Sydorova, Nina Poerner, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 29
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DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences
2019 · Ehsaneddin Asgari, Nina Poerner, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 26
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Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
2020 · Nina Poerner, Ulli Waltinger, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 21
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Interpretable Textual Neuron Representations for NLP
2018 · Nina Poerner, Benjamin Roth, et al. · BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP) · 20
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BAS Speech Science Web Services - an Update of Current Developments
2016 · Thomas Kisler, Uwe Reichel, et al. · Language Resources and Evaluation Conference (LREC) · 19
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Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection
2019 · Nina Poerner, Hinrich Schütze · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 15
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Evaluating neural network explanation methods using hybrid documents and morphological agreement
2018 · Poerner, Nina, Roth, Benjamin, et al. · arXiv (Cornell University) · 9
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Data Centric Domain Adaptation for Historical \nText with OCR Errors
2021 · Marz, Luisa, Schweter, Stefan, et al. · Open access LMU (Ludwid Maxmilian's Universitat Munchen) · 4
Evaluating neural network explanation methods using hybrid documents and morphological prediction.
2018 · Nina Pörner, Hinrich Schütze, et al. · arXiv (Cornell University) · 4
The BAS Speech Data Repository
2016 · Uwe Reichel, Florian Schiel, et al. · Language Resources and Evaluation Conference (LREC) · 4
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Interpretable Question Answering on Knowledge Bases and Text
2019 · Sydorova, Alona, Poerner, Nina, et al. · arXiv (Cornell University) · 2
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A Web Service for Pre-segmenting Very Long Transcribed Speech Recordings
2018 · Nina Poerner, Florian Schiel · Language Resources and Evaluation Conference (LREC) · 2
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Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective
2018 · Poerner, Nina, Sabet, Masoud Jalili, et al. · arXiv (Cornell University) · 2
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Combining contextualized and non-contextualized embeddings for domain adaptation and beyond
2021 · Pörner, Nina Mareike · 1
Data Centric Domain Adaptation for Historical Text with OCR Errors
2021 · Luisa März, Stefan Schweter, et al. · Lecture notes in computer science · 1
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Analysis and classification of cooperative and competitive dialogs
2015 · Uwe D. Reichel, Nina Pörner, et al. · Interspeech (USB) · 1
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Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition
2020 · Nina Poerner, Ulli Waltinger, et al. · arXiv (Cornell University)
Interpretable Textual Neuron Representations for NLP
2018 · Poerner, Nina, Roth, Benjamin, et al. · arXiv (Cornell University)
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Works count: 22
Citation count: 470
H-index: 10
I10-index: 10
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