Representing Words and Linguistic Style for Computational Analysis: A Gentle Introduction: DiLCo Methods Day 2022 (7 October) : Digital language variation in context (DiLCo)

Link:

Autor/in:

Beteiligte Person:

Verlag/Körperschaft:

Universität Hamburg

Erscheinungsjahr:

2022

Medientyp:

Audiovisuell

Schlagworte:

Beschreibung:

Neural Network approaches have radically changed the field of NLP by introducing a way to represent the meaning of words: word embeddings. Such word embeddings are increasingly used as research objects to study social and linguistic research questions. More recently, researchers have also looked at representing sentences in a meaningful, data-driven way, including their style. This lecture will first introduce word embeddings: What are word embeddings? And how are they learned from data? We will then continue with an introduction to representing the linguistic style of sentences: style embeddings. We explain how they can be created and illustrate how they can be used in downstream tasks e.g., by analyzing linguistic style accommodation in conversations. DiLCo Methods Day 2022 - Natural language processing for digital language DiLCo organised a "Methods Day " on computational and quantitative analysis of born-digital language. The workshop targets linguists and also other students and researchers from the humanities and beyond who want to broaden their methodological skills. Three lectures will introduce current innovative techniques of meaning representation, social media data collection and analysis.

Beziehungen:

URL https://lecture2go.uni-hamburg.de/l2go/-/get/l/6829

Lizenz:

Quellsystem:

Lecture2Go UHH

Interne Metadaten