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Computer Science

D-Index
35
Citations
7362
World Ranking
11508
National Ranking
570

Overview

Sebastian Padó is affiliated with the University of Stuttgart in Germany. Their research spans several intersecting domains within computer science and social sciences, focusing particularly on natural language processing and computational methods applied in social contexts.

The main fields of study covered in their work include:

  • Computer Science
  • Social Sciences

Their subfields of expertise extend to:

  • Artificial Intelligence
  • Communication
  • General Social Sciences
  • Strategy and Management
  • Language and Linguistics

Sebastian Padó's research concentrates on several key topics, notable among these are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Social Media and Politics
  • Computational and Text Analysis Methods
  • Political Influence and Corporate Strategies
  • Hate Speech and Cyberbullying Detection
  • Language and cultural evolution

They have contributed to a range of publications, with frequent appearances in the following venues:

  • arXiv (Cornell University)
  • Language Resources and Evaluation
  • Northern European Journal of Language Technology
  • Politics and Governance
  • Morphology

Some of the recent papers associated with their research topics and venues include:

  • Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets, 2020, Politics and Governance
  • Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language, 2021, arXiv (Cornell University)
  • Grounding semantic transparency in context, 2021, Morphology
  • Editorial: Perspectives for natural language processing between AI, linguistics and cognitive science, 2022, Frontiers in Artificial Intelligence
  • Distributional Models of Category Concepts Based on Names of Category Members, 2021, Cognitive Science

Collaboration is integral to their work, and frequent co-authors include:

  • Gabriella Lapesa
  • Dmitry Nikolaev
  • Jonas Kuhn
  • André Blessing
  • Nico Blokker

Best Publications

  • Dependency-Based Construction of Semantic Space Models

    Sebastian Padó;Mirella Lapata

  • SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals

    Iris Hendrickx;Su Nam Kim;Zornitsa Kozareva;Preslav Nakov

  • The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages

    Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara

  • A Structured Vector Space Model for Word Meaning in Context

    Katrin Erk;Sebastian Padó

  • Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

    Sebastian Padó;Mirella Lapata

  • The SALSA Corpus: a German Corpus Resource for Lexical Semantics

    Aljoscha Burchardt;Katrin Erk;Anette Frank;Andrea Kowalski

  • Cross-lingual annotation projection of semantic roles

    Sebastian Padó;Mirella Lapata

  • Training and Evaluating a German Named Entity Recognizer with Semantic Generalization.

    Manaal Faruqui;Sebastian Padó

  • LODifier: generating linked data from unstructured text

    Isabelle Augenstein;Sebastian Padó;Sebastian Rudolph

  • Cross-lingual Annotation Projection for Semantic Roles

    Sebastian Pado;Mirella Lapata

  • A flexible, corpus-driven model of regular and inverse selectional preferences

    Katrin Erk;Sebastian Padó;Ulrike Padó

  • Towards a Resource for Lexical Semantics: A Large German Corpus with Extensive Semantic Annotation

    Katrin Erk;Andrea Kowalski;Sebastian Padó;Manfred Pinkal

  • Exemplar-Based Models for Word Meaning in Context

    Katrin Erk;Sebastian Pado

  • Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus

    Hendrik Schuff;Jeremy Claude Barnes;Julian Mohme;Sebastian Padó

  • Robust Machine Translation Evaluation with Entailment Features

    Sebastian Pado;Michel Galley;Dan Jurafsky;Christopher D. Manning

  • Cross-linguistic Projection of Role-Semantic Information

    Sebastian Pado;Mirella Lapata

  • SALTO - A Versatile Multi-Level Annotation Tool

    Aljoscha Burchardt;Katrin Erk;Anette Frank;Andrea Kowalski

  • What Substitutes Tell Us - Analysis of an "All-Words" Lexical Substitution Corpus

    Gerhard Kremer;Katrin Erk;Sebastian Padó;Stefan Thater

  • Shalmaneser - A Toolchain For Shallow Semantic Parsing

    Katrin Erk;Sebastian Padó

  • The Excitement Open Platform for Textual Inferences

    Bernardo Magnini;Roberto Zanoli;Ido Dagan;Kathrin Eichler

  • Distributional vectors encode referential attributes

    Abhijeet Gupta;Gemma Boleda;Marco Baroni;Sebastian Padó

Frequent Co-Authors

Katrin Erk
Katrin Erk The University of Texas at Austin
Mirella Lapata
Mirella Lapata University of Edinburgh
Ido Dagan
Ido Dagan Bar-Ilan University
Christopher D. Manning
Christopher D. Manning Stanford University
Marco Baroni
Marco Baroni Institució Catalana de Recerca i Estudis Avançats
Dan Jurafsky
Dan Jurafsky Stanford University
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Michel Galley
Michel Galley Microsoft (United States)
Stan Szpakowicz
Stan Szpakowicz University of Ottawa
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler

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