Dr. Benjamin Roth

Akademischer Rat
Center for Information and Language Processing
Ludwig-Maximilians-Universität München (LMU Munich)
Office: Oettingenstraße 67, Room C 106
Office Hours: Tuesday, 14:00-15:00 (no office hours August 13 - September 10, 2019)
Email: [beroth at cis dot uni-muenchen dot de]

I am an Akademischer Rat (~assistant professor) in the area of deep learning & statistical NLP at the Center for Information and Language Processing, LMU Munich. Previously, I was an interim Professor at LMU Munich assuming the duties of Prof. Hinrich Schütze, and before that a postdoc in the Information Extraction and Synthesis Lab (IESL) at the University of Massachusetts, Amherst, working with Prof. Andrew McCallum. I did my PhD at the LSV Spoken Language Systems Lab at Saarland University under supervision by Prof. Dietrich Klakow. I am grateful for the support by a Google Europe Fellowship in Natural Language Processing for my PhD research.

My research focus lies in machine learning for relation extraction and knowledge bases. Our relation extraction system RelationFactory (on GitHub, overview, analysis) was top-ranked in the TAC KBP English Slot-Filling benchmarks, and several successful knowledge-base construction systems in TAC 2014 and 2015 were based on RelationFactory. Some of my joint work with Dr. Michael Wiegand is targeted towards entity type induction and relation extraction in the food domain. My project and work experience includes internships at Google Zurich and Xerox Research Grenoble. During my studies I worked as a programmer for the MARY text-to-speech system.



Current and former students
PhD: MSc theses (selection): BSc theses (selection):


A. Sydorova, N. Poerner, B. Roth
Interpretable Question Answering on Knowledge Bases and Text
Accepted to ACL 2019

L. März, D. Trautmann, B. Roth
Domain adaptation for part-of-speech tagging of noisy user-generated text
NAACL 2019

B.Roth, C. Conforti, N. Pörner, S. Karn and H. Schütze.
Neural Architectures for Open-Type Relation Argument Extraction.
Natural Language Engineering, 2019 (preprint)

M. Schmitt, S. Steinheber, K. Schreiber, B.Roth.
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks.
EMNLP 2018.

N. Pörner, H. Schütze, B.Roth.
Evaluating neural network explanation methods using hybrid documents and morphological prediction.
ACL 2018.

P. Gupta, B.Roth, H. Schütze.
Joint Bootstrapping Machines for High Confidence Relation Extraction.
NAACL 2018.

M. Schulder, M. Wiegand, J. Ruppenhofer and B.Roth.
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features.
IJCNLP 2017.

H. Adel, B.Roth and H. Schütze.
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling.
NAACL 2016.

P. Verga, D. Belanger, E. Strubell, B.Roth, and A. McCallum.
Multilingual Relation Extraction using Compositional Universal Schema.
NAACL, 2016.

M. Schuhmacher, B.Roth, S. Ponzetto and L. Dietz.
Finding Relevant Relations in Relevant Documents.
ECIR 2016.

B.Roth, N. Monath, D. Belanger, E. Strubell, P. Verga, A. McCallum.
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
NIST Text Analysis Conference 2015.

A. Neelakantan, B.Roth and A. McCallum.
Compositional Vector Space Models for Knowledge Base Completion.
ACL 2015.

M. Wiegand, B.Roth and D. Klakow.
Combining Pattern-based and Distributional Similarity for Graph-based Noun Categorization.
NLDB 2015.

B.Roth, E. Strubell, K. Silverstein and A. McCallum.
Minimally Supervised Event Argument Extraction using Universal Schema.
NIPS 2014 Workshop on Knowledge Extraction (AKBC).

A. Neelakantan, B.Roth and A. McCallum.
Knowledge Base Completion using Compositional Vector Space Models.
NIPS 2014 Workshop on Knowledge Extraction (AKBC).

M. Wiegand, B.Roth and D. Klakow.
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction.
EACL 2014.

B.Roth, T. Barth, G. Chrupala, M. Gropp, D. Klakow.
RelationFactory: A Fast, Modular and Effective System for Knowledge Base Population.
EACL 2014 (software demo).

J. Illig, B.Roth and D. Klakow.
Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns.
EACL 2014.

B.Roth, T. Barth, M. Wiegand, M. Singh, D. Klakow.
Effective Slot Filling Based on Shallow Distant Supervision Methods.
NIST Text Analysis Conference 2013.

B.Roth, D. Klakow.
Combining Generative and Discriminative Model Scores for Distant Supervision.
EMNLP 2013.

B.Roth, D. Klakow.
Feature-Based Models for Improving the Quality of Noisy Training Data for Relation Extraction.
CIKM 2013.

B.Roth, T. Barth, M. Wiegand, D. Klakow.
A Survey of Noise Reduction Methods for Distant Supervision.
CIKM 2013 Workshop on Knowledge Extraction (AKBC).

M. Wiegand, B.Roth, D. Klakow.
Web-based Relation Extraction for the Food Domain.
NLDB 2012.

B.Roth, G. Chrupala, M. Wiegand, M. Singh, D. Klakow.
Generalizing from Freebase and Patterns using Distant Supervision for Slot Filling.
NIST Text Analysis Conference 2012.

M. Wiegand, B.Roth, D. Klakow.
Knowledge Acquisition with Natural Language Processing in the Food Domain: Potential and Challenges.
ECAI 2012 Workshop: Cooking with Computers.

M. Wiegand, B.Roth, D. Klakow.
Data-driven Knowledge Extraction for the Food Domain.

M. Wiegand, B.Roth, E. Lasarcyk, S. Köser, D. Klakow.
A Gold Standard for Relation Extraction in the Food Domain.
LREC 2012.

B.Roth, A. McCallum, M. Dymetman and N. Cancedda.
Machine Translation Using Overlapping Alignments and SampleRank.
AMTA 2010.

G. Chrupala, G. Dinu and B.Roth.
Enriched Syntax-based Meaning Representation for Answer Extraction.
SIGIR 2010 Workshop: Query Representation and Understanding.

B.Roth and D. Klakow.
Cross-Language Retrieval Using Link-Based Language Models.
SIGIR 2010.

L. Li, B.Roth and C. Sporleder.
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection.
ACL 2010.

M. Wiegand, A. Balahur, B.Roth, D. Klakow and A. Montoyo.
A Survey on the Role of Negation in Sentiment Analysis.
2010 Workshop on Negation and Speculation in NLP.

B.Roth and D. Klakow.
Combining Wikipedia-Based Concept Models for Cross-Language Retrieval.
IRF Conference 2010.