Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection. - Linlin Li 001; Benjamin Roth 001; Caroline Sporleder (ACL, 2010)

A survey on the role of negation in sentiment analysis. - Michael Wiegand; Alexandra Balahur; Benjamin Roth 001; Dietrich Klakow; Andrés Montoyo (NeSp-NLP@ACL, 2010)

Machine Translation Using Overlapping Alignments and SampleRank. - Benjamin Roth 001; Andrew McCallum; Marc Dymetman; Nicola Cancedda (AMTA, 2010)

Combining Wikipedia-Based Concept Models for Cross-Language Retrieval. - Benjamin Roth 001; Dietrich Klakow (IRFC, 2010)

Cross-language retrieval using link-based language models. - Benjamin Roth 001; Dietrich Klakow (SIGIR, 2010)

Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010. - Grzegorz Chrupala; Saeedeh Momtazi; Michael Wiegand; Stefan Kazalski; Fang Xu; Benjamin Roth 001; Alexandra Balahur; Dietrich Klakow (TAC, 2010)

Saarland University Spoken Language Systems Group at TAC KBP 2011. - Fang Xu; Stefan Kazalski; Grzegorz Chrupala; Benjamin Roth 001; Xujian Zhao; Michael Wiegand; Dietrich Klakow (TAC, 2011)

Data-driven knowledge extraction for the food domain. - Michael Wiegand; Benjamin Roth 001; Dietrich Klakow (KONVENS, 2012)

A Gold Standard for Relation Extraction in the Food Domain. - Michael Wiegand; Benjamin Roth 001; Eva Lasarcyk; Stephanie Köser; Dietrich Klakow (LREC, 2012)

Web-Based Relation Extraction for the Food Domain. - Michael Wiegand; Benjamin Roth 001; Dietrich Klakow (NLDB, 2012)

Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012. - Benjamin Roth 001; Grzegorz Chrupala; Michael Wiegand; Mittul Singh; Dietrich Klakow (TAC, 2012)

A survey of noise reduction methods for distant supervision. - Benjamin Roth 001; Tassilo Barth; Michael Wiegand; Dietrich Klakow (AKBC@CIKM, 2013)

Feature-based models for improving the quality of noisy training data for relation extraction. - Benjamin Roth 001; Dietrich Klakow (CIKM, 2013)

Combining Generative and Discriminative Model Scores for Distant Supervision. - Benjamin Roth 001; Dietrich Klakow (EMNLP, 2013)

Effective Slot Filling Based on Shallow Distant Supervision Methods. - Benjamin Roth 001; Tassilo Barth; Michael Wiegand; Mittul Singh; Dietrich Klakow (TAC, 2013)

Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns. - Jens Illig; Benjamin Roth 001; Dietrich Klakow (EACL, 2014)

RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population. - Benjamin Roth 001; Tassilo Barth; Grzegorz Chrupala; Martin Gropp; Dietrich Klakow (EACL, 2014)

Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction. - Michael Wiegand; Benjamin Roth 001; Dietrich Klakow (EACL, 2014)

Assessing Wikipedia-Based Cross-Language Retrieval Models. - Benjamin Roth 001 (CoRR, 2014)

Compositional Vector Space Models for Knowledge Base Inference. - Arvind Neelakantan; Benjamin Roth 001; Andrew McCallum (AAAI Spring Symposia, 2015)

Compositional Vector Space Models for Knowledge Base Completion. - Arvind Neelakantan; Benjamin Roth 001; Andrew McCallum (ACL (1), 2015)

Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. - Michael Wiegand; Benjamin Roth 001; Dietrich Klakow (NLDB, 2015)

Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. - Benjamin Roth 001; Nicholas Monath; David Belanger 002; Emma Strubell; Patrick Verga; Andrew McCallum (TAC, 2015)

Effective distant supervision for end-to-end knowledge base population systems. - Benjamin Roth 001 (2015)

Finding Relevant Relations in Relevant Documents. - Michael Schuhmacher; Benjamin Roth 001; Simone Paolo Ponzetto; Laura Dietz (ECIR, 2016)

CAPS-PRC: A System for Personality Recognition in Programming Code. - Ivan Bilan; Eduard Saller; Benjamin Roth 001; Mariia Krytchak (FIRE (Working Notes), 2016)

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. - Heike Adel; Benjamin Roth 001; Hinrich Schütze (HLT-NAACL, 2016)

Multilingual Relation Extraction using Compositional Universal Schema. - Patrick Verga; David Belanger 002; Emma Strubell; Benjamin Roth 001; Andrew McCallum (HLT-NAACL, 2016)

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features. - Marc Schulder; Michael Wiegand; Josef Ruppenhofer; Benjamin Roth 001 (IJCNLP(1), 2017)

Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement. - Nina Pörner; Hinrich Schütze; Benjamin Roth 001 (ACL (1), 2018)

Interpretable Textual Neuron Representations for NLP. - Nina Pörner; Benjamin Roth 001; Hinrich Schütze (BlackboxNLP@EMNLP, 2018)

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. - Martin Schmitt; Simon Steinheber; Konrad Schreiber; Benjamin Roth 001 (EMNLP, 2018)

Joint Bootstrapping Machines for High Confidence Relation Extraction. - Pankaj Gupta 003; Benjamin Roth 001; Hinrich Schütze (NAACL-HLT, 2018)

Evaluating neural network explanation methods using hybrid documents and morphological prediction. - Nina Pörner; Hinrich Schütze; Benjamin Roth 001 (CoRR, 2018)

Position-aware Self-attention with Relative Positional Encodings for Slot Filling. - Ivan Bilan; Benjamin Roth 001 (CoRR, 2018)

Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective. - Nina Pörner; Masoud Jalili Sabet; Benjamin Roth 001; Hinrich Schütze (CoRR, 2018)

Interpretable Question Answering on Knowledge Bases and Text. - Alona Sydorova; Nina Pörner; Benjamin Roth 001 (ACL (1), 2019)

Domain adaptation for part-of-speech tagging of noisy user-generated text. - Luisa März; Dietrich Trautmann; Benjamin Roth 001 (NAACL-HLT (1), 2019)

Neural architectures for open-type relation argument extraction. - Benjamin Roth 001; Costanza Conforti; Nina Pörner; Sanjeev Kumar Karn; Hinrich Schütze (Nat. Lang. Eng., 2019)

Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. - Marina Speranskaya; Martin Schmitt; Benjamin Roth 001 (AKBC, 2020)

UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages. - Ehsaneddin Asgari; Fabienne Braune; Benjamin Roth 001; Christoph Ringlstetter; Mohammad R. K. Mofrad (LREC, 2020)

Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. - Jakob Jungmaier; Nora Kassner; Benjamin Roth 001 (LREC, 2020)

Intent Recognition in Doctor-Patient Interviews. - Robin Rojowiec; Benjamin Roth 001; Maximilian Fink (LREC, 2020)

KnowMAN: Weakly Supervised Multinomial Adversarial Networks. - Luisa März; Ehsaneddin Asgari; Fabienne Braune; Franziska Zimmermann; Benjamin Roth 001 (EMNLP (1), 2021)

Data Centric Domain Adaptation for Historical Text with OCR Errors. - Luisa März; Stefan Schweter; Nina Pörner; Benjamin Roth 001; Hinrich Schütze (ICDAR (2), 2021)

Knodle: Modular Weakly Supervised Learning with PyTorch. - Anastasiia Sedova; Andreas Stephan; Marina Speranskaya; Benjamin Roth 001 (RepL4NLP@ACL-IJCNLP, 2021)

Python for Linguists. - Benjamin Roth 001; Michael Wiegand (Comput. Linguistics, 2021)

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). - Michael A. Hedderich; Benjamin Roth 001; Katharina Kann; Barbara Plank; Alex Ratner; Dietrich Klakow (CoRR, 2021)

Focused Contrastive Training for Test-based Constituency Analysis. - Benjamin Roth 001; Erion Çano (CoRR, 2021)

SepLL: Separating Latent Class Labels from Weak Supervision Noise. - Andreas Stephan; Vasiliki Kougia; Benjamin Roth 001 (EMNLP (Findings), 2022)

WeaNF: Weak Supervision with Normalizing Flows. - Andreas Stephan; Benjamin Roth 001 (RepL4NLP@ACL, 2022)

Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection. - Pedro Henrique Luz de Araujo; Benjamin Roth 001 (CoRR, 2022)

Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models? - Lukas Thoma; Benjamin Roth 001 (CoRR, 2022)

Topic Segmentation of Research Article Collections. - Erion Çano; Benjamin Roth 001 (CoRR, 2022)

XPASC: Measuring Generalization in Weak Supervision. - Luisa März; Ehsaneddin Asgari; Fabienne Braune; Franziska Zimmermann; Benjamin Roth 001 (CoRR, 2022)

ReInform: Selecting paths with reinforcement learning for contextualized link prediction. - Marina Speranskaya; Sameh Methias; Benjamin Roth 001 (CoRR, 2022)

ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. - Anastasiia Sedova; Benjamin Roth 001 (ACL (2), 2023)

Seeing through the mess: evolutionary dynamics of lexical polysemy. - Andreas Baumann; Andreas Stephan; Benjamin Roth 001 (EMNLP, 2023)

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. - Anastasiia Sedova; Benjamin Roth 001 (EMNLP, 2023)

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. - Matthias Aßenmacher; Lukas Rauch; Jann Goschenhofer; Andreas Stephan; Bernd Bischl; Benjamin Roth 001; Bernhard Sick (IAL@PKDD/ECML, 2023)

MemeGraphs: Linking Memes to Knowledge Graphs. - Vasiliki Kougia; Simon Fetzel; Thomas Kirchmair; Erion Çano; Sina Moayed Baharlou; Sahand Sharifzadeh; Benjamin Roth 001 (ICDAR (1), 2023)

Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal. - Anastasiia Sedova; Lena Zellinger; Benjamin Roth 001 (ECML/PKDD (1), 2023)

Cross-functional Analysis of Generalisation in Behavioural Learning. - Pedro Henrique Luz de Araujo; Benjamin Roth 001 (CoRR, 2023)

Cross-functional Analysis of Generalization in Behavioral Learning. - Pedro Henrique Luz de Araujo; Benjamin Roth 001 (Trans. Assoc. Comput. Linguistics, 2023)

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. - Vasiliki Kougia; Anastasiia Sedova; Andreas Stephan; Klim Zaporojets; Benjamin Roth 001 (BioNLP@ACL, 2024)

Text-Guided Image Clustering. - Andreas Stephan; Lukas Miklautz; Kevin Sidak; Jan Philip Wahle; Bela Gipp; Claudia Plant; Benjamin Roth 001 (EACL (1), 2024)

Counterfactual Reasoning with Knowledge Graph Embeddings. - Lena Zellinger; Andreas Stephan; Benjamin Roth 001 (EACL (1), 2024)

Functionality learning through specification instructions. - Pedro Henrique Luz de Araujo; Benjamin Roth 001 (EMNLP (Findings), 2024)

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity. - Anastasiia Sedova; Robert Litschko; Diego Frassinelli; Benjamin Roth 001; Barbara Plank (EMNLP (Findings), 2024)

The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. - Peter Dolog; Ylli Sadikaj; Yllka Velaj; Andreas Stephan; Benjamin Roth 001; Claudia Plant (WWW (Companion Volume), 2024)

Exploring prompts to elicit memorization in masked language model-based named entity recognition. - Yuxi Xia; Anastasiia Sedova; Pedro Henrique Luz de Araujo; Vasiliki Kougia; Lisa Nußbaumer; Benjamin Roth 001 (CoRR, 2024)

Text-Guided Alternative Image Clustering. - Andreas Stephan; Lukas Miklautz; Collin Leiber; Pedro Henrique Luz de Araujo; Dominik Répás; Claudia Plant; Benjamin Roth 001 (CoRR, 2024)

Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior. - Pedro Henrique Luz de Araujo; Benjamin Roth 001 (CoRR, 2024)

What to do if language models disagree? Black-box model ensembling for textual and visual question answering. - Yuxi Xia; Klim Zaporojets; Benjamin Roth 001 (CoRR, 2024)

Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities? - Anastasiia Sedova; Robert Litschko; Diego Frassinelli; Benjamin Roth 001; Barbara Plank (CoRR, 2024)

An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text. - Loris Schoenegger; Yuxi Xia; Benjamin Roth 001 (CoRR, 2024)

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks. - Andreas Stephan; Dawei Zhu; Matthias Aßenmacher; Xiaoyu Shen 001; Benjamin Roth 001 (CoRR, 2024)

Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles. - Yuxi Xia; Pedro Henrique Luz de Araujo; Klim Zaporojets; Benjamin Roth 001 (ACL (1), 2025)

Specification overfitting in artificial intelligence. - Benjamin Roth 001; Pedro Henrique Luz de Araujo; Yuxi Xia; Saskia Kaltenbrunner; Christoph Korab (Artif. Intell. Rev., 2025)

MDC-R: The Minecraft Dialogue Corpus with Reference. - Chris Madge; Maris Camilleri; Paloma Carretero Garcia; Mladen Karan; Juexi Shao; Prashant Jayannavar; Julian Hough; Benjamin Roth 001; Massimo Poesio (CoRR, 2025)

Do language models accommodate their users? A study of linguistic convergence. - Terra Blevins; Susanne Sophie Schmalwieser; Benjamin Roth 001 (CoRR, 2025)

Influence-driven Curriculum Learning for Pre-training on Limited Data. - Loris Schoenegger; Lukas Thoma; Terra Blevins; Benjamin Roth 001 (CoRR, 2025)