How Text Segmentation Algorithms Gain from Topic Models. - Martin Riedl 002; Chris Biemann (HLT-NAACL, 2012)

Text Segmentation wit h Topic Models. - Martin Riedl 002; Chris Biemann (J. Lang. Technol. Comput. Linguistics, 2012)

Exploring Cities in Crime: Significant Concordance and Co-occurrence in Quantitative Literary Analysis. - Janneke Rauscher; Leonard Swiezinski; Martin Riedl 002; Chris Biemann (CLfL@NAACL-HLT, 2013)

Scaling to Large3 Data: An Efficient and Effective Method to Compute Distributional Thesauri. - Martin Riedl 002; Chris Biemann (EMNLP, 2013)

From Global to Local Similarities: A Graph-Based Contextualization Method using Distributional Thesauri. - Martin Riedl 002; Chris Biemann (TextGraphs@EMNLP, 2013)

JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity. - Chris Biemann; Bonaventura Coppola; Michael R. Glass; Alfio Gliozzo; Matthew Hatem; Martin Riedl 002 (TextGraphs@EMNLP, 2013)

Text: now in 2D! A framework for lexical expansion with contextual similarity. - Chris Biemann; Martin Riedl 002 (J. Lang. Model., 2013)

That's sick dude!: Automatic identification of word sense change across different timescales. - Sunny Mitra; Ritwik Mitra; Martin Riedl 002; Chris Biemann; Animesh Mukherjee 001; Pawan Goyal 002 (ACL (1), 2014)

Combining Supervised and Unsupervised Parsing for Distributional Similarity. - Martin Riedl 002; Irina Alles; Chris Biemann (COLING, 2014)

Lexical Substitution for the Medical Domain. - Martin Riedl 002; Michael R. Glass; Alfio Massimiliano Gliozzo (EMNLP, 2014)

Distributed Distributional Similarities of Google Books over the Centuries. - Martin Riedl 002; Richard Steuer; Chris Biemann (LREC, 2014)

JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models. - Eugen Ruppert; Manuel Kaufmann; Martin Riedl 002; Chris Biemann (ACL (System Demonstrations), 2015)

A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics. - Martin Riedl 002; Chris Biemann (EMNLP, 2015)

Rule-based Dependency Parse Collapsing and Propagation for German and English. - Eugen Ruppert; Jonas Klesy; Martin Riedl 002; Chris Biemann (GSCL, 2015)

Distributional Semantics for Resolving Bridging Mentions. - Tim Feuerbach; Martin Riedl 002; Chris Biemann (RANLP, 2015)

An automatic approach to identify word sense changes in text media across timescales. - Sunny Mitra; Ritwik Mitra; Suman Kalyan Maity; Martin Riedl 002; Chris Biemann; Pawan Goyal 002; Animesh Mukherjee 001 (Nat. Lang. Eng., 2015)

Running into Brick Walls Attempting to Improve a Simple Unsupervised Parser. - Martin Riedl 002; Tim Feuerbach; Chris Biemann (KONVENS, 2016)

Noun Sense Induction and Disambiguation using Graph-Based Distributional Semantics. - Alexander Panchenko; Johannes Simon; Martin Riedl 002; Chris Biemann (KONVENS, 2016)

Impact of MWE Resources on Multiword Recognition. - Martin Riedl 002; Chris Biemann (MWE@ACL, 2016)

Learning Paraphrasing for Multiword Expressions. - Seid Muhie Yimam; Héctor Martínez Alonso; Martin Riedl 002; Chris Biemann (MWE@ACL, 2016)

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods. - Martin Riedl 002; Chris Biemann (HLT-NAACL, 2016)

Unsupervised Methods for Learning and Using Semantics of Natural Language. - Martin Riedl 002 (2016)

CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. - Seid Muhie Yimam; Sanja Stajner; Martin Riedl 002; Chris Biemann (IJCNLP(2), 2017)

There's no 'Count or Predict' but task-based selection for distributional models. - Martin Riedl 002; Chris Biemann (IWCS(2), 2017)

Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction. - Flavio Massimiliano Cecchini; Chris Biemann; Martin Riedl 002 (NODALIDA, 2017)

Replacing OOV Words For Dependency Parsing With Distributional Semantics. - Prasanth Kolachina; Martin Riedl 002; Chris Biemann (NODALIDA, 2017)

Multilingual and Cross-Lingual Complex Word Identification. - Seid Muhie Yimam; Sanja Stajner; Martin Riedl 002; Chris Biemann (RANLP, 2017)

A Named Entity Recognition Shootout for German. - Martin Riedl 002; Sebastian Padó (ACL (2), 2018)

Document-based Recommender System for Job Postings using Dense Representations. - Ahmed Elsafty; Martin Riedl 002; Chris Biemann (NAACL-HLT (3), 2018)

Using Semantics for Granularities of Tokenization. - Martin Riedl 002; Chris Biemann (Comput. Linguistics, 2018)

A comparison of graph-based word sense induction clustering algorithms in a pseudoword evaluation framework. - Flavio Massimiliano Cecchini; Martin Riedl 002; Elisabetta Fersini; Chris Biemann (Lang. Resour. Evaluation, 2018)

Clustering-Based Article Identification in Historical Newspapers. - Martin Riedl 002; Daniela Betz; Sebastian Padó (LaTeCH@NAACL-HLT, 2019)

Data Augmentation for Intent Classification of German Conversational Agents in the Finance Domain. - Sophie Rentschler; Martin Riedl 002; Christian Stab; Martin Rückert (KONVENS, 2022)

Using word vector models to trace conceptual change over time and space in historical newspapers, 1840-1914. - Jaap Verheul; Hannu Salmi; Martin Riedl 002; Asko Nivala; Lorella Viola; Jana Keck; Emily Bell (Digit. Humanit. Q., 2022)