Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alan Akbik"'
Publikováno v:
ACL/IJCNLP (1)
An important risk that children face today is online grooming, where a so-called sexual predator establishes an emotional connection with a minor online with the objective of sexual abuse. Prior work has sought to automatically identify grooming chat
Publikováno v:
Bioinformatics
Summary: Named Entity Recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, highly accurate, and robust towards variations in text genre and style. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c89f7475140fdcbf7a7f8a6de4860ca9
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005588_2/component/file_5008100/5005588.pdf
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005588_2/component/file_5008100/5005588.pdf
Publikováno v:
COLING
State-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem. While effective, this approach suffers from conceptual limitations th
Autor:
Alan Akbik, Tanja Bergmann, Kashif Rasul, Duncan A. J. Blythe, Stefan Schweter, Roland Vollgraf
Publikováno v:
NAACL-HLT (Demonstrations)
We present FLAIR, an NLP framework designed to facilitate training and distribution of state-of-the-art sequence labeling, text classification and language models. The core idea of the framework is to present a simple, unified interface for conceptua
Publikováno v:
NAACL-HLT (1)
Contextual string embeddings are a recent type of contextualized word embedding that were shown to yield state-of-the-art results when utilized in a range of sequence labeling tasks. They are based on character-level language models which treat text
Publikováno v:
EMNLP
Crowdsourcing has proven to be an effective method for generating labeled data for a range of NLP tasks. However, multiple recent attempts of using crowdsourcing to generate gold-labeled training data for semantic role labeling (SRL) reported only mo
Autor:
Alan Akbik, Yunyao Li
Publikováno v:
ACL (System Demonstrations)
Semantic role labeling (SRL) identifies the predicate-argument structure in text with semantic labels. It plays a key role in understanding natural language. In this paper, we present POLYGLOT, a multilingual semantic role labeling system capable of
Publikováno v:
EMNLP
Autor:
Alan Akbik, Yunyao Li, Laura Chiticariu, Marina Danilevsky, Huaiyu Zhu, Shivakumar Vaithyanathan
Publikováno v:
ACL (1)
Semantic role labeling (SRL) is crucial to natural language understanding as it identifies the predicate-argument structure in text with semantic labels. Unfortunately, resources required to construct SRL models are expensive to obtain and simply do
Autor:
Alan Akbik, Roland Vollgraf
Publikováno v:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
EMNLP (System Demonstrations)
EMNLP (System Demonstrations)
Previous works proposed annotation projection in parallel corpora to inexpensively generate treebanks or propbanks for new languages. In this approach, linguistic annotation is automatically transferred from a resource-rich source language (SL) to tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26b8e8532c8698cdbb7397e0e7b04700