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ORCIDBenjamin Roth 0001
Person information
- affiliation: University of Vienna, Austria
- affiliation (former): LMU Munich, Center for Information and Language Processing, Germany
- affiliation (former): University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA
- affiliation (PhD 2015): Saarland University, Saarbrücken, Germany
Other persons with the same name
- Benjamin Roth 0002 — Hannover University of Applied Sciences and Arts, Interactive Realities, Germany
- Benjamin Roth 0003 — Deutsches Krebsforschungszentrum, Heidelberg, Germany
- Benjamin Roth 0004 — Paris, France
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Books and Theses
- 2015
[b1]Benjamin Roth:
Effective distant supervision for end-to-end knowledge base population systems. Saarland University, 2015
Journal Articles
- 2023
- [j3]Pedro Henrique Luz de Araujo
, Benjamin Roth:
Cross-functional Analysis of Generalization in Behavioral Learning. Trans. Assoc. Comput. Linguistics 11: 1066-1081 (2023) - 2021
- [j2]Benjamin Roth, Michael Wiegand:
Python for Linguists. Comput. Linguistics 47(1): 217-220 (2021) - 2019
- [j1]Benjamin Roth, Costanza Conforti, Nina Pörner, Sanjeev Kumar Karn, Hinrich Schütze:
Neural architectures for open-type relation argument extraction. Nat. Lang. Eng. 25(2): 219-238 (2019)
Conference and Workshop Papers
- 2024
- [c46]Lena Zellinger, Andreas Stephan, Benjamin Roth:
Counterfactual Reasoning with Knowledge Graph Embeddings. EACL (1) 2024: 2753-2772 - [c45]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. EACL (1) 2024: 2960-2976 - [c44]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: 589-592 - 2023
- [c43]Anastasiia Sedova, Benjamin Roth:
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. ACL (2) 2023: 1853-1863 - [c42]Anastasiia Sedova, Benjamin Roth:
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. EMNLP 2023: 4162-4176 - [c41]Andreas Baumann, Andreas Stephan, Benjamin Roth:
Seeing through the mess: evolutionary dynamics of lexical polysemy. EMNLP 2023: 8745-8762 - [c40]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: 65-73 - [c39]Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth:
MemeGraphs: Linking Memes to Knowledge Graphs. ICDAR (1) 2023: 534-551 - [c38]Anastasiia Sedova, Lena Zellinger, Benjamin Roth:
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal. ECML/PKDD (1) 2023: 237-253 - 2022
- [c37]Andreas Stephan, Vasiliki Kougia, Benjamin Roth:
SepLL: Separating Latent Class Labels from Weak Supervision Noise. EMNLP (Findings) 2022: 3918-3929 - [c36]Andreas Stephan, Benjamin Roth:
WeaNF: Weak Supervision with Normalizing Flows. RepL4NLP@ACL 2022: 269-279 - 2021
- [c35]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. EMNLP (1) 2021: 9549-9557 - [c34]Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. ICDAR (2) 2021: 748-761 - [c33]Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth:
Knodle: Modular Weakly Supervised Learning with PyTorch. RepL4NLP@ACL-IJCNLP 2021: 100-111 - 2020
- [c32]Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. AKBC 2020 - [c31]Robin Rojowiec, Benjamin Roth, Maximilian Fink:
Intent Recognition in Doctor-Patient Interviews. LREC 2020: 702-709 - [c30]Jakob Jungmaier, Nora Kassner, Benjamin Roth:
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. LREC 2020: 3560-3565 - [c29]Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth, Christoph Ringlstetter, Mohammad R. K. Mofrad:
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. LREC 2020: 4113-4120 - 2019
- [c28]Alona Sydorova, Nina Pörner, Benjamin Roth:
Interpretable Question Answering on Knowledge Bases and Text. ACL (1) 2019: 4943-4951 - [c27]Luisa März, Dietrich Trautmann, Benjamin Roth:
Domain adaptation for part-of-speech tagging of noisy user-generated text. NAACL-HLT (1) 2019: 3415-3420 - 2018
- [c26]Nina Pörner, Hinrich Schütze, Benjamin Roth:
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. ACL (1) 2018: 340-350 - [c25]Nina Pörner, Benjamin Roth, Hinrich Schütze:
Interpretable Textual Neuron Representations for NLP. BlackboxNLP@EMNLP 2018: 325-327 - [c24]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: 1109-1114 - [c23]Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. NAACL-HLT 2018: 26-36 - 2017
- [c22]Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth:
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features. IJCNLP(1) 2017: 624-633 - 2016
- [c21]Michael Schuhmacher, Benjamin Roth, Simone Paolo Ponzetto, Laura Dietz:
Finding Relevant Relations in Relevant Documents. ECIR 2016: 654-660 - [c20]Ivan Bilan, Eduard Saller, Benjamin Roth, Mariia Krytchak:
CAPS-PRC: A System for Personality Recognition in Programming Code. FIRE (Working Notes) 2016: 21-24 - [c19]Heike Adel, Benjamin Roth, Hinrich Schütze:
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. HLT-NAACL 2016: 828-838 - [c18]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL 2016: 886-896 - 2015
- [c17]Arvind Neelakantan, Benjamin Roth, Andrew McCallum:
Compositional Vector Space Models for Knowledge Base Inference. AAAI Spring Symposia 2015 - [c16]Arvind Neelakantan, Benjamin Roth, Andrew McCallum:
Compositional Vector Space Models for Knowledge Base Completion. ACL (1) 2015: 156-166 - [c15]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. NLDB 2015: 64-72 - 2014
- [c14]Benjamin Roth, Tassilo Barth, Grzegorz Chrupala, Martin Gropp, Dietrich Klakow:
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population. EACL 2014: 89-92 - [c13]Jens Illig, Benjamin Roth, Dietrich Klakow:
Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns. EACL 2014: 100-105 - [c12]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction. EACL 2014: 673-682 - 2013
- [c11]Benjamin Roth, Tassilo Barth, Michael Wiegand, Dietrich Klakow:
A survey of noise reduction methods for distant supervision. AKBC@CIKM 2013: 73-78 - [c10]Benjamin Roth, Dietrich Klakow:
Feature-based models for improving the quality of noisy training data for relation extraction. CIKM 2013: 1181-1184 - [c9]Benjamin Roth, Dietrich Klakow:
Combining Generative and Discriminative Model Scores for Distant Supervision. EMNLP 2013: 24-29 - 2012
- [c8]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Data-driven knowledge extraction for the food domain. KONVENS 2012: 21-29 - [c7]Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, Dietrich Klakow:
A Gold Standard for Relation Extraction in the Food Domain. LREC 2012: 507-514 - [c6]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Web-Based Relation Extraction for the Food Domain. NLDB 2012: 222-227 - 2010
- [c5]Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo:
A survey on the role of negation in sentiment analysis. NeSp-NLP@ACL 2010: 60-68 - [c4]Linlin Li, Benjamin Roth, Caroline Sporleder:
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection. ACL 2010: 1138-1147 - [c3]Benjamin Roth, Andrew McCallum, Marc Dymetman, Nicola Cancedda:
Machine Translation Using Overlapping Alignments and SampleRank. AMTA 2010 - [c2]Benjamin Roth, Dietrich Klakow:
Combining Wikipedia-Based Concept Models for Cross-Language Retrieval. IRFC 2010: 47-59 - [c1]Benjamin Roth, Dietrich Klakow:
Cross-language retrieval using link-based language models. SIGIR 2010: 773-774
Editorship
- 2023
- [e1]Munir Georges, Aaricia Herygers, Annemarie Friedrich, Benjamin Roth:
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), September 19-21, 2023, Ingolstadt, Germany. Association for Computational Lingustics 2023 [contents]
Informal and Other Publications
- 2024
- [i48]Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth:
Text-Guided Image Clustering. CoRR abs/2402.02996 (2024) - [i47]Lena Zellinger, Andreas Stephan, Benjamin Roth:
Counterfactual Reasoning with Knowledge Graph Embeddings. CoRR abs/2403.06936 (2024) - [i46]Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia, Saskia Kaltenbrunner, Christoph Korab:
Specification Overfitting in Artificial Intelligence. CoRR abs/2403.08425 (2024) - [i45]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 abs/2405.03004 (2024) - [i44]Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth:
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. CoRR abs/2406.11486 (2024) - [i43]Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth:
Text-Guided Alternative Image Clustering. CoRR abs/2406.18589 (2024) - [i42]Pedro Henrique Luz de Araujo, Benjamin Roth:
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior. CoRR abs/2407.02099 (2024) - [i41]Yuxi Xia, Klim Zaporojets, Benjamin Roth:
What to do if language models disagree? Black-box model ensembling for textual and visual question answering. CoRR abs/2407.12841 (2024) - [i40]Anastasiia Sedova, Robert Litschko, Diego Frassinelli, Benjamin Roth, Barbara Plank:
Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities? CoRR abs/2407.17125 (2024) - 2023
- [i39]Anastasiia Sedova, Benjamin Roth:
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. CoRR abs/2305.06395 (2023) - [i38]Pedro Henrique Luz de Araujo, Benjamin Roth:
Cross-functional Analysis of Generalisation in Behavioural Learning. CoRR abs/2305.12951 (2023) - [i37]Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth:
MemeGraphs: Linking Memes to Knowledge Graphs. CoRR abs/2305.18391 (2023) - [i36]Anastasiia Sedova, Lena Zellinger, Benjamin Roth:
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal. CoRR abs/2306.04502 (2023) - [i35]Pedro Henrique Luz de Araujo, Benjamin Roth:
Functionality learning through specification instructions. CoRR abs/2311.08481 (2023) - 2022
- [i34]Pedro Henrique Luz de Araujo, Benjamin Roth:
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection. CoRR abs/2204.04042 (2022) - [i33]Anastasiya Sedova, Benjamin Roth:
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. CoRR abs/2204.06863 (2022) - [i32]Andreas Stephan, Benjamin Roth:
WeaNF: Weak Supervision with Normalizing Flows. CoRR abs/2204.13409 (2022) - [i31]Lukas Thoma, Benjamin Roth:
Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models? CoRR abs/2205.06149 (2022) - [i30]Erion Çano, Benjamin Roth:
Topic Segmentation of Research Article Collections. CoRR abs/2205.11249 (2022) - [i29]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
XPASC: Measuring Generalization in Weak Supervision. CoRR abs/2206.01444 (2022) - [i28]Andreas Stephan, Vasiliki Kougia, Benjamin Roth:
SepLL: Separating Latent Class Labels from Weak Supervision Noise. CoRR abs/2210.13898 (2022) - [i27]Marina Speranskaya, Sameh Methias, Benjamin Roth:
ReInform: Selecting paths with reinforcement learning for contextualized link prediction. CoRR abs/2211.10688 (2022) - 2021
- [i26]Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. CoRR abs/2102.06145 (2021) - [i25]Anastasiya Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth:
Knodle: Modular Weakly Supervised Learning with PyTorch. CoRR abs/2104.11557 (2021) - [i24]Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. CoRR abs/2107.00927 (2021) - [i23]Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR abs/2107.03690 (2021) - [i22]Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. CoRR abs/2109.07994 (2021) - [i21]Benjamin Roth, Erion Çano:
Focused Contrastive Training for Test-based Constituency Analysis. CoRR abs/2109.15159 (2021) - 2020
- [i20]Jakob Jungmaier, Nora Kassner, Benjamin Roth:
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. CoRR abs/2006.12414 (2020) - 2019
- [i19]Luisa März, Dietrich Trautmann, Benjamin Roth:
Domain adaptation for part-of-speech tagging of noisy user-generated text. CoRR abs/1905.08920 (2019) - [i18]Alona Sydorova, Nina Pörner, Benjamin Roth:
Interpretable Question Answering on Knowledge Bases and Text. CoRR abs/1906.10924 (2019) - 2018
- [i17]Nina Pörner, Hinrich Schütze, Benjamin Roth:
Evaluating neural network explanation methods using hybrid documents and morphological prediction. CoRR abs/1801.06422 (2018) - [i16]Benjamin Roth, Costanza Conforti, Nina Pörner, Sanjeev Karn, Hinrich Schütze:
Neural Architectures for Open-Type Relation Argument Extraction. CoRR abs/1803.01707 (2018) - [i15]Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. CoRR abs/1805.00254 (2018) - [i14]Ivan Bilan, Benjamin Roth:
Position-aware Self-attention with Relative Positional Encodings for Slot Filling. CoRR abs/1807.03052 (2018) - [i13]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 abs/1808.09238 (2018) - [i12]Nina Pörner, Benjamin Roth, Hinrich Schütze:
Interpretable Textual Neuron Representations for NLP. CoRR abs/1809.07291 (2018) - [i11]Nina Pörner, Masoud Jalili Sabet, Benjamin Roth, Hinrich Schütze:
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. CoRR abs/1811.00066 (2018) - 2016
- [i10]Heike Adel, Benjamin Roth, Hinrich Schütze:
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. CoRR abs/1603.05157 (2016) - 2015
- [i9]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 - [i8]Arvind Neelakantan, Benjamin Roth, Andrew McCallum:
Compositional Vector Space Models for Knowledge Base Completion. CoRR abs/1504.06662 (2015) - [i7]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. CoRR abs/1511.06396 (2015) - 2014
- [i6]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. CoRR abs/1401.1158 (2014) - [i5]Benjamin Roth:
Assessing Wikipedia-Based Cross-Language Retrieval Models. CoRR abs/1401.2258 (2014) - 2013
- [i4]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. TAC 2013 - 2012
- [i3]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 - 2011
- [i2]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 - 2010
- [i1]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
Coauthor Index
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