Martin Riedl

39 papers A* 3B 2Misc 2Journal 7Unranked 20
YearRankTypeTitle / Venue / Authors
2022 — conf
Data Augmentation for Intent Classification of German Conversational Agents in the Finance Domain.
KONVENS
Sophie Rentschler, Martin Riedl, Christian Stab, Martin Rückert
2022 J jnl
Using word vector models to trace conceptual change over time and space in historical newspapers, 1840-1914.
Digit. Humanit. Q.
Jaap Verheul, Hannu Salmi, Martin Riedl, Asko Nivala, Lorella Viola, Jana Keck, Emily Bell
2019 — conf
Clustering-Based Article Identification in Historical Newspapers.
LaTeCH@NAACL-HLT
Martin Riedl, Daniela Betz, Sebastian Padó
2019 — ed.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019
TextGraphs@EMNLP
Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavas, Martin Riedl, Mihai Surdeanu, Michalis Vazirgiannis
2018 — conf
A Named Entity Recognition Shootout for German.
ACL (2)
Martin Riedl, Sebastian Padó
2018 J jnl
A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework.
Lang. Resour. Evaluation
Flavio Massimiliano Cecchini, Martin Riedl, Elisabetta Fersini, Chris Biemann
2018 — conf
Document-based Recommender System for Job Postings using Dense Representations.
NAACL-HLT (3)
Ahmed Elsafty, Martin Riedl, Chris Biemann
2018 — ed.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 6, 2018
TextGraphs@NAACL-HLT
Goran Glavas, Swapna Somasundaran, Martin Riedl, Eduard H. Hovy
2018 J jnl
Using Semantics for Granularities of Tokenization.
Comput. Linguistics
Martin Riedl, Chris Biemann
2017 — conf
CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups.
IJCNLP(2)
Seid Muhie Yimam, Sanja Stajner, Martin Riedl, Chris Biemann
2017 Misc conf
Multilingual and Cross-Lingual Complex Word Identification.
RANLP
Seid Muhie Yimam, Sanja Stajner, Martin Riedl, Chris Biemann
2017 — ed.
Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, Vancouver, Canada, August 3, 2017
TextGraphs@ACL
Martin Riedl, Swapna Somasundaran, Goran Glavas, Eduard H. Hovy
2017 — conf
Replacing OOV Words For Dependency Parsing With Distributional Semantics.
NODALIDA
Prasanth Kolachina, Martin Riedl, Chris Biemann
2017 — conf
There's no 'Count or Predict' but task-based \\selection for distributional models.
IWCS(2)
Martin Riedl, Chris Biemann
2017 — conf
Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction.
NODALIDA
Flavio Massimiliano Cecchini, Chris Biemann, Martin Riedl
2016 — conf
Impact of MWE Resources on Multiword Recognition.
MWE@ACL
Martin Riedl, Chris Biemann
2016 — conf
Learning Paraphrasing for Multiword Expressions.
MWE@ACL
Seid Muhie Yimam, Héctor Martínez Alonso, Martin Riedl, Chris Biemann
2016 — conf
Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics.
KONVENS
Alexander Panchenko, Johannes Simon, Martin Riedl, Chris Biemann
2016 — ed.
Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, June 17, 2016, San Diego, California, USA
TextGraphs@NAACL-HLT
Tanmoy Chakraborty, Martin Riedl, V. G. Vinod Vydiswaran
2016 — conf
Running into Brick Walls Attempting to Improve a Simple Unsupervised Parser.
KONVENS
Martin Riedl, Tim Feuerbach, Chris Biemann
2016 — conf
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods.
HLT-NAACL
Martin Riedl, Chris Biemann
2016 — —
Unsupervised Methods for Learning and Using Semantics of Natural Language.
Martin Riedl
2015 A* conf
A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics.
EMNLP
Martin Riedl, Chris Biemann
2015 J jnl
An automatic approach to identify word sense changes in text media across timescales.
Nat. Lang. Eng.
Sunny Mitra, Ritwik Mitra, Suman Kalyan Maity, Martin Riedl, Chris Biemann, Pawan Goyal, Animesh Mukherjee
2015 Misc conf
Distributional Semantics for Resolving Bridging Mentions.
RANLP
Tim Feuerbach, Martin Riedl, Chris Biemann
2015 — conf
JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models.
ACL (System Demonstrations)
Eugen Ruppert, Manuel Kaufmann, Martin Riedl, Chris Biemann
2015 — conf
Rule-based Dependency Parse Collapsing and Propagation for German and English.
GSCL
Eugen Ruppert, Jonas Klesy, Martin Riedl, Chris Biemann
2014 B conf
Combining Supervised and Unsupervised Parsing for Distributional Similarity.
COLING
Martin Riedl, Irina Alles, Chris Biemann
2014 B conf
Distributed Distributional Similarities of Google Books over the Centuries.
LREC
Martin Riedl, Richard Steuer, Chris Biemann
2014 A* conf
Lexical Substitution for the Medical Domain.
EMNLP
Martin Riedl, Michael R. Glass, Alfio Massimiliano Gliozzo
2014 — conf
That's sick dude!: Automatic identification of word sense change across different timescales.
ACL (1)
Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal
2014 J jnl
That's sick dude!: Automatic identification of word sense change across different timescales.
CoRR
Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal
2013 — conf
Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis.
CLfL@NAACL-HLT
Janneke Rauscher, Leonard Swiezinski, Martin Riedl, Chris Biemann
2013 — conf
From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri.
TextGraphs@EMNLP
Martin Riedl, Chris Biemann
2013 — conf
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity.
TextGraphs@EMNLP
Chris Biemann, Bonaventura Coppola, Michael R. Glass, Alfio Gliozzo, Matthew Hatem, Martin Riedl
2013 A* conf
Scaling to Large3 Data: An Efficient and Effective Method to Compute Distributional Thesauri.
EMNLP
Martin Riedl, Chris Biemann
2013 J jnl
Text: now in 2D! A framework for lexical expansion with contextual similarity.
J. Lang. Model.
Chris Biemann, Martin Riedl
2012 — conf
How Text Segmentation Algorithms Gain from Topic Models.
HLT-NAACL
Martin Riedl, Chris Biemann
2012 J jnl
Text Segmentation wit h Topic Models.
J. Lang. Technol. Comput. Linguistics
Martin Riedl, Chris Biemann