Michael Wiegand

发表

Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach

Michael Wiegand, Christine Bocionek, Josef Ruppenhofer, 2016, HLT-NAACL.

Web-Based Relation Extraction for the Food Domain

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2012, NLDB.

Automatic generation of lexica for sentiment polarity shifters

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2020, Natural Language Engineering.

Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012

Dietrich Klakow, Michael Wiegand, Grzegorz Chrupala, 2012, TAC.

Instrument médical pour canalisation tissulairée

Michael Wiegand, Andreas Melzer, Gerhard Prof Dr Med Buess, 1993 .

Detecting Derogatory Compounds – An Unsupervised Approach

Michael Wiegand, Josef Ruppenhofer, Maximilian Wolf, 2019, NAACL.

Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches

Michael Wiegand, Josef Ruppenhofer, Julia Maria Struß, 2016 .

Ordering adverbs by their scaling effect on adjective intensity

Michael Wiegand, Josef Ruppenhofer, Petra Steiner, 2015, RANLP.

Detection of Abusive Language: the Problem of Biased Datasets

Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer, 2019, NAACL.

Separating Brands from Types: an Investigation of Different Features for the Food Domain

Dietrich Klakow, Michael Wiegand, 2014, COLING.

Hybrid approaches for sentiment analysis

Michael Wiegand, Michael Wiegand, 2011 .

Bootstrapping polarity classifiers with rule-based classification

Dietrich Klakow, Michael Wiegand, Manfred Klenner, 2013, Lang. Resour. Evaluation.

Comparing methods for deriving intensity scores for adjectives

Michael Wiegand, Josef Ruppenhofer, Jasper Brandes, 2014, EACL.

Convolution Kernels for Subjectivity Detection

Dietrich Klakow, Michael Wiegand, 2011, NODALIDA.

Evaluating the morphological compositionality of polarity

Michael Wiegand, Josef Ruppenhofer, Petra Steiner, 2017, RANLP.

Predictive Features for Detecting Indefinite Polar Sentences

Dietrich Klakow, Michael Wiegand, 2010, LREC.

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features

Michael Wiegand, Josef Ruppenhofer, Benjamin Roth, 2017, IJCNLP.

A Gold Standard for Relation Extraction in the Food Domain

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2012, LREC.

Optimizing Language Models for Polarity Classification

Dietrich Klakow, Michael Wiegand, 2008, ECIR.

Towards the Detection of Reliable Food-Health Relationships

Dietrich Klakow, Michael Wiegand, D. Klakow, 2013 .

Predictive Features in Semi-Supervised Learning for Polarity Classification and the Role of Adjectives

Dietrich Klakow, Michael Wiegand, 2009, NODALIDA.

Sentiment Compound Data (DE)

Michael Wiegand, Christine Bocionek, Josef Ruppenhofer, 2019 .

Apparatus for programming adjustable-vehicle devices

Michael Wiegand, Keiichi Aoyama, Akio Nakano, 2005 .

Saarland University’s Participation in the GErman SenTiment AnaLysis shared Task (GESTALT)

Michael Wiegand, Christine Bocionek, Julia Dembowski, 2014 .

Bootstrapped Lexicon of English Verbal Polarity Shifters

Michael Wiegand, Josef Ruppenhofer, Benjamin Roth, 2017 .

MLSA - A Multi-layered Reference Corpus for German Sentiment Analysis

Simon Clematide, Michael Wiegand, Josef Ruppenhofer, 2012, LREC.

A survey of noise reduction methods for distant supervision

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2013, AKBC '13.

The Alyssa System at TAC QA 2008

Dietrich Klakow, Michael Wiegand, Grzegorz Chrupala, 2008, Text Analysis Conference.

Prototypical Opinion Holders: What We can Learn from Experts and Analysts

Dietrich Klakow, Michael Wiegand, 2011, RANLP.

Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language

Michael Wiegand, Melanie Siegel, Melanie Siegel, 2018 .

Detecting conditional healthiness of food items from natural language text

Dietrich Klakow, Michael Wiegand, D. Klakow, 2015, Lang. Resour. Evaluation.

Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach

Dietrich Klakow, Michael Wiegand, 2013, IJCNLP.

Cost-Sensitive Learning in Answer Extraction

Dietrich Klakow, Jochen L. Leidner, Michael Wiegand, 2008, LREC.

Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2014, EACL.

Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction

Dietrich Klakow, Michael Wiegand, 2012, EACL.

Combining term-based and event-based matching for question answering

Dietrich Klakow, Jochen L. Leidner, Michael Wiegand, 2007, SIGIR.

GermEval-2018 Corpus (DE)

Michael Wiegand, 2019 .

Negation Modeling for German Polarity Classification

Michael Wiegand, Josef Ruppenhofer, Maximilian Wolf, 2017, GSCL.

A Survey on Hate Speech Detection using Natural Language Processing

Michael Wiegand, Anna Schmidt, Michael Wiegand, 2017, SocialNLP@EACL.

Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2018, COLING.

Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2020, LREC.

The Alyssa System at TREC QA 2007: Do We Need Blog06?

Andreas Merkel, Dietrich Klakow, Jochen L. Leidner, 2007, TREC.

Doctor Who? Framing Through Names and Titles in German

Michael Wiegand, Josef Ruppenhofer, Katja Markert, 2020, LREC.

Disambiguation of Verbal Shifters

Michael Wiegand, Josef Ruppenhofer, Sylvette Loda, 2018, LREC.

Convolution Kernels for Opinion Holder Extraction

Dietrich Klakow, Michael Wiegand, D. Klakow, 2010, NAACL.

A Supervised Learning Approach for the Extraction of Sources and Targets from German Text

Michael Wiegand, Josef Ruppenhofer, Margarita Chikobava, 2019, KONVENS.

A survey on the role of negation in sentiment analysis

Dietrich Klakow, Andrés Montoyo, Michael Wiegand, 2010, NeSp-NLP@ACL.

Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives

Dietrich Klakow, Michael Wiegand, Josef Ruppenhofer, 2013, HLT-NAACL.

Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based Classification

Dietrich Klakow, Michael Wiegand, 2010 .

The Role of Knowledge-based Features in Polarity Classification at Sentence Level

Dietrich Klakow, Michael Wiegand, 2009, FLAIRS Conference.

A Descriptive Analysis of a German Corpus Annotated with Opinion Sources and Targets

Michael Wiegand, Josef Ruppenhofer, Leonie Lapp, 2019, KONVENS.

Distinguishing affixoid formations from compounds

Michael Wiegand, Josef Ruppenhofer, Katja Markert, 2018, COLING.

Effective Slot Filling Based on Shallow Distant Supervision Methods pdf

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2014, TAC.

Système pour programmer des dispositifs adaptables d'un véhicule

Michael Wiegand, Keiichi Aoyama, Akio Nakano, 2005 .

Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language

Michael Wiegand, Josef Ruppenhofer, Manfred Klenner, 2019, KONVENS.

Introducing a Lexicon of Verbal Polarity Shifters for English

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2018, LREC.

Data-driven knowledge extraction for the food domain

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2012, KONVENS.

Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2015, NLDB.

Opinion Holder and Target Extraction for Verb-based Opinion Predicates - The Problem is Not Solved

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2015, WASSA@EMNLP.

Predicate Acquisition for Opinion Holder Extraction. A Data-Intensive Approach

Michael Wiegand, 2013 .

Topic-Related Polarity Classification of Blog Sentences

Dietrich Klakow, Michael Wiegand, 2009, EPIA.

Opinion Holder and Target Extraction based on the Induction of Verbal Categories

Michael Wiegand, Josef Ruppenhofer, Josef Ruppenhofer, 2015, CoNLL.

Saarland University Spoken Language Systems Group at TAC KBP 2011

Dietrich Klakow, Fang Xu, Michael Wiegand, 2011, TAC.

Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010

Dietrich Klakow, Fang Xu, Michael Wiegand, 2010, TAC.

Relation Extraction for the Food Domain without Labeled Training Data - Is Distant Supervision the Best Solution?

Dietrich Klakow, Michael Wiegand, Melanie Reiplinger, 2014, PolTAL.

Lexicon of Abusive Words (EN)

Michael Wiegand, 2019 .

Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2016, HLT-NAACL.

Inducing a Lexicon of Abusive Words – a Feature-Based Approach

Michael Wiegand, Josef Ruppenhofer, Clayton Greenberg, 2018, NAACL.

Python for Linguists

Michael Wiegand, Benjamin Roth, 2021, CL.

Exploiting Emojis for Abusive Language Detection

Michael Wiegand, Josef Ruppenhofer, Josef Ruppenhofer, 2021, EACL.

Knowledge Acquisition with Natural Language Processing in the Food Domain : Potential and Challenges

Dietrich Klakow, Michael Wiegand, Benjamin Roth, 2012 .

Not My President: How Names and Titles Frame Political Figures

Michael Wiegand, Josef Ruppenhofer, Katja Markert, 2019, Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science.