Search Results for author: Isa Maks

Found 8 papers, 1 papers with code

Annotating Targets of Toxic Language at the Span Level

1 code implementation TRAC (COLING) 2022 Baran Barbarestani, Isa Maks, Piek Vossen

We therefore created a crowd-annotation task to mark the spans of words that refer to target communities as an extension of the HateXplain data set.

Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

no code implementations WS 2017 Maarten van Meersbergen, Piek Vossen, Janneke van der Zwaan, Antske Fokkens, Willem van Hage, Inger Leemans, Isa Maks

Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations.

Generating Polarity Lexicons with WordNet propagation in 5 languages

no code implementations LREC 2014 Isa Maks, Ruben Izquierdo, Francesca Frontini, Rodrigo Agerri, Piek Vossen, Andoni Azpeitia

In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity lexicons in five languages: French, Italian, Dutch, English and Spanish using WordNet propagation.

Named Entity Recognition (NER) Opinion Mining +1

Building a fine-grained subjectivity lexicon from a web corpus

no code implementations LREC 2012 Isa Maks, Piek Vossen

In this paper we propose a method to build fine-grained subjectivity lexicons including nouns, verbs and adjectives.

Sentiment Analysis Subjectivity Analysis

GRaSP: A Multilayered Annotation Scheme for Perspectives

no code implementations LREC 2016 Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen

In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives.

Relation

Annotating Perspectives on Vaccination

no code implementations LREC 2020 Roser Morante, Chantal van Son, Isa Maks, Piek Vossen

In this paper we present the Vaccination Corpus, a corpus of texts related to the online vaccination debate that has been annotated with three layers of information about perspectives: attribution, claims and opinions.

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