Most tasks in NLP require labeled data. Data labeling is often done on
c...
The task of Argument Mining, that is extracting argumentative sentences ...
There are two approaches for pairwise sentence scoring: Cross-encoders, ...
Sentence encoders map sentences to real valued vectors for use in downst...
We rely on arguments in our daily lives to deliver our opinions and base...
Stance Detection (StD) aims to detect an author's stance towards a certa...
We experiment with two recent contextualized word embedding methods (ELM...
Argument mining is generally performed on the sentence-level -- it is as...
Argumentation mining (AM) requires the identification of complex discour...
We investigate whether and where multi-task learning (MTL) can improve
p...
We investigate whether and where multi-task learning (MTL) can improve
p...
Argument mining has become a popular research area in NLP. It typically
...
We investigate neural techniques for end-to-end computational argumentat...