32.805, Summer Schools: 15th Workshop on Graph-Based Natural Language Processing (TextGraphs-15) / Mexico

[The LINGUIST List]

LINGUIST List: Vol-32-805. Thu Mar 04 2021. ISSN: 1069 - 4875.

Subject: 32.805, Summer Schools:  15th Workshop on Graph-Based Natural Language Processing (TextGraphs-15) / Mexico

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Date: Thu, 04 Mar 2021 11:47:02
From: Alexander Panchenko [a.panchenko at skoltech.ru]
Subject: 15th Workshop on Graph-Based Natural Language Processing (TextGraphs-15) / Mexico

 

15th Workshop on Graph-Based Natural Language Processing (TextGraphs-15)

Host Institution:  Universität Hamburg
Website: https://sites.google.com/view/textgraphs2021

Dates: 11-Jun-2021 - 11-Jun-2021
Location: Mexico City, Mexico, Mexico

Focus: Graphs for NLP
Minimum Education Level: No Minimum


Description:
We invite you to submit a paper to the 15th workshop on Graph-Based Natural
Language Processing (TextGraphs-15). 

Venue: NAACL 2021 (https://2021.naacl.org/)
Location: Mexico City, Mexico
Date: June 11, 2021
Website: https://sites.google.com/view/textgraphs2021 

# Workshop Description

For the past fifteen years, the workshops in the TextGraphs series have
published and promoted the synergy between the field of Graph Theory (GT) and
Natural Language Processing (NLP). The mix between the two started small, with
graph theoretical frameworks providing efficient and elegant solutions for NLP
applications. Graph-based solutions initially focused on single-document
part-of-speech tagging, word sense disambiguation, and semantic role labeling,
and became progressively larger to include ontology learning and information
extraction from large text collections. Nowadays, graph-based solutions also
target Web-scale applications such as information propagation in social
networks, rumor proliferation, e-reputation, multiple entity detection,
language dynamics learning, and future events prediction, to name a few.

The fifteenth edition of the TextGraphs workshop aims to extend the focus on
graph-based representations for (1) large-scale knowledge bases and reasoning
about them and (2) graph-based and graph-supported machine learning and deep
learning methods.

# Important Dates

- March 15, 2021: Workshop Papers Due Date
- April 15, 2021: Notification of Acceptance
- April 26, 2021: Camera-ready Papers Due
- June 11, 2021: Workshop Date

# Workshop Topics

TextGraphs-15 invites submissions on (but not limited to) the following
topics:

* Graph-based and graph-supported machine learning methods:

- Graph embeddings and their combinations with text embeddings
- Graph-based and graph-supported deep learning (e.g., graph-based recurrent
and recursive networks)
- Probabilistic graphical models and structure learning methods
- Exploration of capabilities and limitations of graph-based methods being
applied to neural networks
- Investigation of aspects of neural networks that are (not) susceptible to
graph-based analysis

* Graph-based methods for Information Retrieval, Information Extraction and
Text Mining:

- Graph-based methods for word sense disambiguation
- Graph-based representations for ontology learning,
- Graph-based strategies for semantic relation identification
- Encoding semantic distances in graphs
- Graph-based techniques for text summarization, simplification, and
paraphrasing
- Graph-based techniques for document navigation and visualization
- Reranking with graphs

* New graph-based methods for NLP applications:

- Random walk methods in graphs
- Semi-supervised graph-based methods
- Dynamic graph representations
- Graph kernels

* Graph-based methods for applications on social networks

- Rumor proliferation
- E-reputation
- Multiple identity detection
- Language dynamics studies
- Surveillance systems

* Graph-based methods for NLP and the Semantic Web:

- Representation learning methods for knowledge graphs (i.e., knowledge graph
embedding)
- Using graph-based methods to populate ontologies using textual data
- Inducing knowledge of ontologies into NLP applications using graphs
- Merging ontologies with graph-based methods using NLP techniques

# Submission

We invite submissions of up to eight (8) pages maximum, plus bibliography for
long papers and four (4) pages, plus bibliography, for short papers.

The NAACL 2021 templates must be used; these are provided in LaTeX and also
Microsoft Word format. Submissions will only be accepted in PDF format.
Deviations from the provided templates will result in rejections without
review.

Download the Word and LaTeX templates here:
https://2021.naacl.org/calls/style-and-formatting/ 

Submit papers by the end of the deadline day (time zone is UTC-12) via our
Softconf.



Registration: Open until 11-May-2021

Contact Person: Alexander Panchenko
                Email: a.panchenko at skoltech.ru


Registration Instructions:




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LINGUIST List: Vol-32-805	
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