IMS at the CoNLL 2017 UD shared task: CRFs and perceptrons meet neural networks

A Björkelund, A Falenska, X Yu… - Proceedings of the CoNLL …, 2017 - aclanthology.org
This paper presents the IMS contribution to the CoNLL 2017 Shared Task. In the
preprocessing step we employed a CRF POS/morphological tagger and a neural tagger …

[PDF][PDF] German radio interviews: The GRAIN release of the SFB732 Silver Standard Collection

K Schweitzer, K Eckart, M Gärtner… - Proceedings of the …, 2018 - aclanthology.org
Abstract We present GRAIN (German RAdio INterviews) as part of the SFB732 Silver
Standard Collection. GRAIN contains German radio interviews and is annotated on multiple …

Real-world sentence boundary detection using multitask learning: A case study on French

KT Lim, J Park - Natural Language Engineering, 2024 - cambridge.org
We propose a novel approach for sentence boundary detection in text datasets in which
boundaries are not evident (eg, sentence fragments). Although detecting sentence …

Linear-time constituency parsing with RNNs and dynamic programming

J Hong, L Huang - Proceedings of the 56th Annual Meeting of the …, 2018 - aclanthology.org
Recently, span-based constituency parsing has achieved competitive accuracies with
extremely simple models by using bidirectional RNNs to model “spans”. However, the …

Deep Learning for Human and Biological Languages

J Hong - 2022 - ir.library.oregonstate.edu
We explore the application of deep learning to the disparate fields of natural language
processing and computational biology. Both the sentences uttered by humans as well as the …

[PDF][PDF] Moving TIGER beyond Sentence-Level

A Falenska, K Eckart, J Kuhn - Proceedings of the Eleventh …, 2018 - aclanthology.org
Abstract We present TIGER 2.2-doc–a new set of annotations for the German TIGER corpus.
The set moves the corpus to a document level. It includes a full mapping of sentences to …

[PDF][PDF] Early Dementia-Disease Detection Prototype System

E Piccolo, M Bazzani, E Ferrera, D Visentin - 2019 - dvisentin.com
Natural Language Processing (NLP) is a field of artificial intelligence that aims to process in
an automatic way the natural language, that is the language talked by human beings. A …

[图书][B] Online learning of latent linguistic structure with approximate search

A Björkelund - 2019 - dl.gi.de
Diese Dissertation setzt maschinelles Lernen ein, um aus linguistisch annotierten
Textsammlungen Modelle für die Analyse natürlicher Sprache zu trainieren (Natural …