Viktor Pekar

发表

Specification In Terms Of Interactional Properties As A Way To Optimize Semantic Representation Of Spatial Expressions

Viktor Pekar, Viktor Pekar, 2001, ACL 2001.

Feature Weighting for Co-occurrence-based Classification of Words

Steffen Staab, Viktor Pekar, Michael Krkoska, 2004, COLING.

Discovery of event entailment knowledge from text corpora

Viktor Pekar, Viktor Pekar, 2008, Comput. Speech Lang..

Categorizing Web Pages as a Preprocessing Step for Information Extraction

Richard Evans, Viktor Pekar, Ruslan Mitkov, 2004, LREC.

Unsupervised Relation Extraction for Automatic Generation of Multiple-Choice Questions

Viktor Pekar, Naveed Afzal, Viktor Pekar, 2009, RANLP.

Acquisition of Verb Entailment from Text

Viktor Pekar, 2006, HLT-NAACL.

Word classification based on combined measures of distributional and semantic similarity

Steffen Staab, Viktor Pekar, 2003, EACL.

Information Extraction from Email Announcements

Viktor Pekar, 2005, NLDB.

Methods for extracting and classifying pairs of cognates and false friends

Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, 2008, Machine Translation.

Linguistic Preprocessing for Distributional Classification of Words

Viktor Pekar, 2004 .

Selecting classification features for detection of mass emergencies on social media

Viktor Pekar, Christopher R. Hale, Jane M. Binner, 2016 .

Finding translations for low-frequency words in comparable corpora

Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, 2006, Machine Translation.

Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media

Viktor Pekar, Jane M. Binner, Viktor Pekar, 2017, WASSA@EMNLP.

Detecting mass emergency events on social media: one classification problem or many?

Viktor Pekar, Jane M. Binner, Hossein L. Najafi, 2016 .

Discovery of Language Resources on the Web: Information Extraction from Heterogeneous Documents

Viktor Pekar, Richard Evans, R. Evans, 2007, Lit. Linguistic Comput..

Proceedings of the Workshop on Natural Language Processing Methods and Corpora in Translation, Lexicography, and Language Learning

Silvia Bernardini, Viktor Pekar, Iustina Ilisei, 2009 .

Automatic Detection of Orthographics Cues for Cognate Recognition

Viktor Pekar, Andrea Mulloni, Andrea Mulloni, 2006, LREC.

A Comparison of Summarisation Methods Based on Term Specificity Estimation

Constantin Orasan, Laura Hasler, Viktor Pekar, 2004, LREC.

Exploring Options for Fast Domain Adaptation of Dependency Parsers

Viktor Pekar, Juntao Yu, Bernd Bohnet, 2014 .

Early detection of heterogeneous disaster events using social media

Vincent A. Schmidt, Viktor Pekar, Christopher R. Hale, 2019, J. Assoc. Inf. Sci. Technol..

Ontology Learning Part One - On Discoverying Taxonomic Relations from the Web

Steffen Staab, Alexander Maedche, Viktor Pekar, 2002 .

AIR: A Semi-Automatic System for Archiving Institutional Repositories

Viktor Pekar, José Manuel Gómez Soriano, Natalia Ponomareva, 2009, NLDB.

Using semantic resources to improve a syntactic dependency parser

Gerold Schneider, Viktor Pekar, Octavian Popescu, 2012 .

Anaphora Resolution: To What Extent Does It Help NLP Applications?

Richard Evans, Constantin Orasan, Le An Ha, 2007, DAARC.

Purchase Intentions on Social Media as Predictors of Consumer Spending

Viktor Pekar, Viktor Pekar, 2020, ICWSM.

Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision

Steffen Staab, Viktor Pekar, Steffen Staab, 2002, COLING.

Development and Alignment of a Domain-Specific Ontology for Question Answering

Constantin Orasan, Viktor Pekar, Matteo Negri, 2008, LREC.

UBham: Lexical Resources and Dependency Parsing for Aspect-Based Sentiment Analysis

Viktor Pekar, Bernd Bohnet, Naveed Afzal, 2014, SemEval@COLING.

Discovery of Entailment Relations from Event Co-Occurrences

Viktor Pekar, 2006, ECAI.