Benjamin Roth

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 70

Top Venues

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth
Text-Guided Alternative Image Clustering. CoRR (2024)
Yuxi Xia, Anastasiia Sedova, Pedro Henrique Luz de Araujo, Vasiliki Kougia, Lisa Nußbaumer, Benjamin Roth
Exploring prompts to elicit memorization in masked language model-based named entity recognition. CoRR (2024)
Pedro Henrique Luz de Araujo, Benjamin Roth
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior. CoRR (2024)
Yuxi Xia, Klim Zaporojets, Benjamin Roth
What to do if language models disagree? Black-box model ensembling for textual and visual question answering. CoRR (2024)
Lena Zellinger, Andreas Stephan, Benjamin Roth
Counterfactual Reasoning with Knowledge Graph Embeddings. EACL (1) (2024)
Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. CoRR (2024)
Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth
Text-Guided Image Clustering. EACL (1) (2024)
Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia, Saskia Kaltenbrunner, Christoph Korab
Specification Overfitting in Artificial Intelligence. CoRR (2024)
Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant
The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. WWW (Companion Volume) (2024)
Lena Zellinger, Andreas Stephan, Benjamin Roth
Counterfactual Reasoning with Knowledge Graph Embeddings. CoRR (2024)
Anastasiia Sedova, Robert Litschko, Diego Frassinelli, Benjamin Roth, Barbara Plank
Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities? CoRR (2024)
Pedro Henrique Luz de Araujo, Benjamin Roth
Cross-functional Analysis of Generalisation in Behavioural Learning. CoRR (2023)
Pedro Henrique Luz de Araujo, Benjamin Roth
Functionality learning through specification instructions. CoRR (2023)
Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth
MemeGraphs: Linking Memes to Knowledge Graphs. ICDAR (1) (2023)
Anastasiia Sedova, Benjamin Roth
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. ACL (2) (2023)
Anastasiia Sedova, Lena Zellinger, Benjamin Roth
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal. ECML/PKDD (1) (2023)
Andreas Baumann, Andreas Stephan, Benjamin Roth
Seeing through the mess: evolutionary dynamics of lexical polysemy. EMNLP (2023)
Anastasiia Sedova, Benjamin Roth
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. EMNLP (2023)
Anastasiia Sedova, Lena Zellinger, Benjamin Roth
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal. CoRR (2023)
Pedro Henrique Luz de Araujo, Benjamin Roth
Cross-functional Analysis of Generalization in Behavioral Learning. Trans. Assoc. Comput. Linguistics 11 (2023)
Anastasiia Sedova, Benjamin Roth
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. CoRR (2023)
Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth
MemeGraphs: Linking Memes to Knowledge Graphs. CoRR (2023)
Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML (2023)
Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth
XPASC: Measuring Generalization in Weak Supervision. CoRR (2022)
Anastasiya Sedova, Benjamin Roth
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. CoRR (2022)
Andreas Stephan, Vasiliki Kougia, Benjamin Roth
SepLL: Separating Latent Class Labels from Weak Supervision Noise. EMNLP (Findings) (2022)
Marina Speranskaya, Sameh Methias, Benjamin Roth
ReInform: Selecting paths with reinforcement learning for contextualized link prediction. CoRR (2022)
Andreas Stephan, Benjamin Roth
WeaNF: Weak Supervision with Normalizing Flows. CoRR (2022)
Pedro Henrique Luz de Araujo, Benjamin Roth
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection. CoRR (2022)
Erion Çano, Benjamin Roth
Topic Segmentation of Research Article Collections. CoRR (2022)
Andreas Stephan, Vasiliki Kougia, Benjamin Roth
SepLL: Separating Latent Class Labels from Weak Supervision Noise. CoRR (2022)
Andreas Stephan, Benjamin Roth
WeaNF: Weak Supervision with Normalizing Flows. RepL4NLP@ACL (2022)
Lukas Thoma, Benjamin Roth
Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models? CoRR (2022)
Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze
Data Centric Domain Adaptation for Historical Text with OCR Errors. CoRR (2021)
Benjamin Roth, Erion Çano
Focused Contrastive Training for Test-based Constituency Analysis. CoRR (2021)
Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. EMNLP (1) (2021)
Marina Speranskaya, Martin Schmitt, Benjamin Roth
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. CoRR (2021)
Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth
Knodle: Modular Weakly Supervised Learning with PyTorch. RepL4NLP@ACL-IJCNLP (2021)
Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. CoRR (2021)
Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze
Data Centric Domain Adaptation for Historical Text with OCR Errors. ICDAR (2) (2021)
Benjamin Roth, Michael Wiegand
Python for Linguists. Comput. Linguistics 47 (1) (2021)
Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR (2021)
Anastasiya Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth
Knodle: Modular Weakly Supervised Learning with PyTorch. CoRR (2021)
Jakob Jungmaier, Nora Kassner, Benjamin Roth
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. LREC (2020)
Marina Speranskaya, Martin Schmitt, Benjamin Roth
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. AKBC (2020)
Robin Rojowiec, Benjamin Roth, Maximilian Fink
Intent Recognition in Doctor-Patient Interviews. LREC (2020)
Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth, Christoph Ringlstetter, Mohammad R. K. Mofrad
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. LREC (2020)
Jakob Jungmaier, Nora Kassner, Benjamin Roth
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. CoRR (2020)
Luisa März, Dietrich Trautmann, Benjamin Roth
Domain adaptation for part-of-speech tagging of noisy user-generated text. CoRR (2019)
Alona Sydorova, Nina Pörner, Benjamin Roth
Interpretable Question Answering on Knowledge Bases and Text. CoRR (2019)
Luisa März, Dietrich Trautmann, Benjamin Roth
Domain adaptation for part-of-speech tagging of noisy user-generated text. NAACL-HLT (1) (2019)
Alona Sydorova, Nina Pörner, Benjamin Roth
Interpretable Question Answering on Knowledge Bases and Text. ACL (1) (2019)
Benjamin Roth, Costanza Conforti, Nina Pörner, Sanjeev Kumar Karn, Hinrich Schütze
Neural architectures for open-type relation argument extraction. Nat. Lang. Eng. 25 (2) (2019)
Nina Pörner, Hinrich Schütze, Benjamin Roth
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. ACL (1) (2018)
Pankaj Gupta, Benjamin Roth, Hinrich Schütze
Joint Bootstrapping Machines for High Confidence Relation Extraction. CoRR (2018)
Nina Pörner, Masoud Jalili Sabet, Benjamin Roth, Hinrich Schütze
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. CoRR (2018)
Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. EMNLP (2018)
Nina Pörner, Hinrich Schütze, Benjamin Roth
Evaluating neural network explanation methods using hybrid documents and morphological prediction. CoRR (2018)
Benjamin Roth, Costanza Conforti, Nina Pörner, Sanjeev Karn, Hinrich Schütze
Neural Architectures for Open-Type Relation Argument Extraction. CoRR (2018)
Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. CoRR (2018)
Ivan Bilan, Benjamin Roth
Position-aware Self-attention with Relative Positional Encodings for Slot Filling. CoRR (2018)
Nina Pörner, Benjamin Roth, Hinrich Schütze
Interpretable Textual Neuron Representations for NLP. BlackboxNLP@EMNLP (2018)
Pankaj Gupta, Benjamin Roth, Hinrich Schütze
Joint Bootstrapping Machines for High Confidence Relation Extraction. NAACL-HLT (2018)
Nina Pörner, Benjamin Roth, Hinrich Schütze
Interpretable Textual Neuron Representations for NLP. CoRR (2018)
Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features. IJCNLP(1) (2017)
Michael Schuhmacher, Benjamin Roth, Simone Paolo Ponzetto, Laura Dietz
Finding Relevant Relations in Relevant Documents. ECIR (2016)
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL (2016)
Heike Adel, Benjamin Roth, Hinrich Schütze
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. HLT-NAACL (2016)
Ivan Bilan, Eduard Saller, Benjamin Roth, Mariia Krytchak
CAPS-PRC: A System for Personality Recognition in Programming Code. FIRE (Working Notes) (2016)
Heike Adel, Benjamin Roth, Hinrich Schütze
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. CoRR (2016)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Inference. AAAI Spring Symposia (2015)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Completion. CoRR (2015)
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
Multilingual Relation Extraction using Compositional Universal Schema. CoRR (2015)
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Compositional Vector Space Models for Knowledge Base Completion. ACL (1) (2015)
Michael Wiegand, Benjamin Roth, Dietrich Klakow
Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. NLDB (2015)
Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC (2015)
Benjamin Roth
Assessing Wikipedia-Based Cross-Language Retrieval Models. CoRR (2014)
Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow
Effective Slot Filling Based on Shallow Distant Supervision Methods. CoRR (2014)
Jens Illig, Benjamin Roth, Dietrich Klakow
Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns. EACL (2014)
Benjamin Roth, Tassilo Barth, Grzegorz Chrupala, Martin Gropp, Dietrich Klakow
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population. EACL (2014)
Michael Wiegand, Benjamin Roth, Dietrich Klakow
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction. EACL (2014)
Benjamin Roth, Dietrich Klakow
Combining Generative and Discriminative Model Scores for Distant Supervision. EMNLP (2013)
Benjamin Roth, Dietrich Klakow
Feature-based models for improving the quality of noisy training data for relation extraction. CIKM (2013)
Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow
Effective Slot Filling Based on Shallow Distant Supervision Methods. TAC (2013)
Benjamin Roth, Tassilo Barth, Michael Wiegand, Dietrich Klakow
A survey of noise reduction methods for distant supervision. AKBC@CIKM (2013)
Michael Wiegand, Benjamin Roth, Dietrich Klakow
Data-driven knowledge extraction for the food domain. KONVENS (2012)
Benjamin Roth, Grzegorz Chrupala, Michael Wiegand, Mittul Singh, Dietrich Klakow
Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012. TAC (2012)
Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, Dietrich Klakow
A Gold Standard for Relation Extraction in the Food Domain. LREC (2012)
Michael Wiegand, Benjamin Roth, Dietrich Klakow
Web-Based Relation Extraction for the Food Domain. NLDB (2012)
Fang Xu, Stefan Kazalski, Grzegorz Chrupala, Benjamin Roth, Xujian Zhao, Michael Wiegand, Dietrich Klakow
Saarland University Spoken Language Systems Group at TAC KBP 2011. TAC (2011)
Benjamin Roth, Andrew McCallum, Marc Dymetman, Nicola Cancedda
Machine Translation Using Overlapping Alignments and SampleRank. AMTA (2010)
Benjamin Roth, Dietrich Klakow
Cross-language retrieval using link-based language models. SIGIR (2010)
Benjamin Roth, Dietrich Klakow
Combining Wikipedia-Based Concept Models for Cross-Language Retrieval. IRFC (2010)
Linlin Li, Benjamin Roth, Caroline Sporleder
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection. ACL (2010)
Grzegorz Chrupala, Saeedeh Momtazi, Michael Wiegand, Stefan Kazalski, Fang Xu, Benjamin Roth, Alexandra Balahur, Dietrich Klakow
Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010. TAC (2010)
Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo
A survey on the role of negation in sentiment analysis. NeSp-NLP@ACL (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin Roth