no code implementations • 1 Feb 2024 • Ana Barić, Sean Papay, Sebastian Padó
The identification of political actors who put forward claims in public debate is a crucial step in the construction of discourse networks, which are helpful to analyze societal debates.
1 code implementation • ICLR 2022 • Sean Papay, Roman Klinger, Sebastian Padó
However, the CRF's Markov assumption makes it impossible for CRFs to represent distributions with \textit{nonlocal} dependencies, and standard CRFs are unable to respect nonlocal constraints of the data (such as global arity constraints on output labels).
Ranked #7 on Semantic Role Labeling on OntoNotes
no code implementations • EMNLP 2020 • Sean Papay, Roman Klinger, Sebastian Padó
Span identification (in short, span ID) tasks such as chunking, NER, or code-switching detection, ask models to identify and classify relevant spans in a text.
no code implementations • SEMEVAL 2020 • Jens Kaiser, Dominik Schlechtweg, Sean Papay, Sabine Schulte im Walde
We present the results of our system for SemEval-2020 Task 1 that exploits a commonly used lexical semantic change detection model based on Skip-Gram with Negative Sampling.
no code implementations • LREC 2020 • Sean Papay, Sebastian Pad{\'o}
We introduce RiQuA (RIch QUotation Annotations), a corpus that provides quotations, including their interpersonal structure (speakers and addressees) for English literary text.
no code implementations • RANLP 2019 • Sean Papay, Sebastian Pad{\'o}
The detection of quotations (i. e., reported speech, thought, and writing) has established itself as an NLP analysis task.
no code implementations • EMNLP 2018 • Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Pad{\'o}, Roman Klinger
As a result, comparability of models across tasks is missing and their applicability to new tasks is limited.
no code implementations • WS 2018 • Sean Papay, Sebastian Pad{\'o}, Ngoc Thang Vu
Most modern approaches to computing word embeddings assume the availability of text corpora with billions of words.