We stand with Ukraine

We stand with Ukraine

Martin Riedl

Affiliations:

University of Stuttgart, Institute for Natural Language Processing, Germany
University of Hamburg, Department of Informatics, Germany
TU Darmstadt, Computer Science Department, Germany

According to our database¹, Martin Riedl authored at least 34 papers between 2012 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Links

Online presence:

On csauthors.net:

Bibliography

2022

Using word vector models to trace conceptual change over time and space in historical newspapers, 1840-1914.

[BibT_eX]

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Digit. Humanit. Q., 2022

Data Augmentation for Intent Classification of German Conversational Agents in the Finance Domain.

[BibT_eX]

[DOI]

Sophie Rentschler

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Martin Rückert

Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

2019

Clustering-Based Article Identification in Historical Newspapers.

[BibT_eX]

[DOI]

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Sebastian Padó

Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2019

2018

A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework.

[BibT_eX]

[DOI]

Flavio Massimiliano Cecchini

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Elisabetta Fersini

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Lang. Resour. Evaluation, 2018

Using Semantics for Granularities of Tokenization.

[BibT_eX]

[DOI]

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Comput. Linguistics, 2018

Document-based Recommender System for Job Postings using Dense Representations.

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Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Named Entity Recognition Shootout for German.

[BibT_eX]

[DOI]

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Sebastian Padó

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Multilingual and Cross-Lingual Complex Word Identification.

[BibT_eX]

[DOI]

Seid Muhie Yimam

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Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Replacing OOV Words For Dependency Parsing With Distributional Semantics.

[BibT_eX]

[DOI]

Prasanth Kolachina

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Proceedings of the 21st Nordic Conference on Computational Linguistics, 2017

Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction.

[BibT_eX]

[DOI]

Flavio Massimiliano Cecchini

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Proceedings of the 21st Nordic Conference on Computational Linguistics, 2017

There's no 'Count or Predict' but task-based \\selection for distributional models.

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Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups.

[BibT_eX]

[DOI]

Seid Muhie Yimam

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Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Unsupervised Methods for Learning and Using Semantics of Natural Language.

[BibT_eX]

[DOI]

PhD thesis, 2016

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods.

[BibT_eX]

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Proceedings of the NAACL HLT 2016, 2016

Learning Paraphrasing for Multiword Expressions.

[BibT_eX]

[DOI]

Seid Muhie Yimam

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Héctor Martínez Alonso

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Proceedings of the 12th Workshop on Multiword Expressions, 2016

Impact of MWE Resources on Multiword Recognition.

[BibT_eX]

[DOI]

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Proceedings of the 12th Workshop on Multiword Expressions, 2016

Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics.

[BibT_eX]

[DOI]

Alexander Panchenko

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Proceedings of the 13th Conference on Natural Language Processing, 2016

Running into Brick Walls Attempting to Improve a Simple Unsupervised Parser.

[BibT_eX]

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Proceedings of the 13th Conference on Natural Language Processing, 2016

2015

An automatic approach to identify word sense changes in text media across timescales.

[BibT_eX]

[DOI]

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Suman Kalyan Maity

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Animesh Mukherjee

Nat. Lang. Eng., 2015

Distributional Semantics for Resolving Bridging Mentions.

[BibT_eX]

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Proceedings of the Recent Advances in Natural Language Processing, 2015

Rule-based Dependency Parse Collapsing and Propagation for German and English.

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Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology, 2015

A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics.

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Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models.

[BibT_eX]

[DOI]

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Manuel Kaufmann

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Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Distributed Distributional Similarities of Google Books over the Centuries.

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[DOI]

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Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Lexical Substitution for the Medical Domain.

[BibT_eX]

[DOI]

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Michael R. Glass

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Alfio Massimiliano Gliozzo

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Combining Supervised and Unsupervised Parsing for Distributional Similarity.

[BibT_eX]

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Proceedings of the COLING 2014, 2014

That's sick dude!: Automatic identification of word sense change across different timescales.

[BibT_eX]

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Animesh Mukherjee

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Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Text: now in 2D! A framework for lexical expansion with contextual similarity.

[BibT_eX]

[DOI]

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J. Lang. Model., 2013

JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity.

[BibT_eX]

[DOI]

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Bonaventura Coppola

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Michael R. Glass

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Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri.

[BibT_eX]

[DOI]

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Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

Scaling to Large3 Data: An Efficient and Effective Method to Compute Distributional Thesauri.

[BibT_eX]

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Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis.

[BibT_eX]

[DOI]

Janneke Rauscher

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Leonard Swiezinski

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Proceedings of the Workshop on Computational Linguistics for Literature, 2013

2012

Text Segmentation wit h Topic Models.

[BibT_eX]

[DOI]

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J. Lang. Technol. Comput. Linguistics, 2012

How Text Segmentation Algorithms Gain from Topic Models.

[BibT_eX]

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Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

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