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Found 7 papers, 0 papers with code
Misogyny classification of German newspaper forum comments
We describe the creation of a corpus of 6600 comments which were annotated with 5 levels of misogyny.
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-checkers and media worldwide, and brought a new major challenge to government responses worldwide.
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network
This paper describes the participation of team {``}bertha-von-suttner{''} in the SemEval2019 task 4 Hyperpartisan News Detection task.
A Deep Neural Network Sentence Level Classification Method with Context Information
In the sentence classification task, context formed from sentences adjacent to the sentence being classified can provide important information for classification.
An Extensible Multilingual Open Source Lemmatizer
The performance drops when there is no support from HFST and the entire lemmatization process is based on lemma dictionaries.
Analysis of Named Entity Recognition and Linking for Tweets
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area.
Applying Random Indexing to Structured Data to Find Contextually Similar Words
Our approach is based on exploiting the structure inherent in an RDF graph and then applying the methods from statistical semantics, and in particular, Random Indexing, in order to discover contextually related terms.
