GSCL Talks

The GSCL Talks are an initiative starting in 2021 with the aim of bringing our community closer together via regular virtual technical and linguistic discussions. There are two formats: Research Talks which feature invited talks on recent research topics, and Tutorial Talks intended for students and doctoral students. Participation links will be sent out to members shortly before each meeting. [How to become a member]

Any questions? Contact us!
Organizer: Annemarie Friedrich, annemarie.friedrich@gmail.com

GSCL Research Talks

The GSCL Research Talks, which will take place from February 2021 on, offer a forum for exchange about recent research topics for academia and industry. Speakers include senior-level researchers from academia and industry. Talks will be held in German or English with each talk's language announced beforehand. The duration of the talk is one hour including 30 minutes Q&A.

GSCL Tutorial Talks

GSCL Tutorial Talks include 90-minute sessions on specific topics within computational linguistics that are not usually within the curriculum, deep dives into a particular research project, or introductory lectures to neighboring disciplines. The series also features interviews with experts on their personal experiences and presentations of industrial research. It is a forum for students and doctoral students to connect with experts, learn about internship or hiring opportunities and network with experts and fellow students from other universities.

October 2022: Research Talk

Sebastian Schuster (NYU)

Annemarie Friedrich
23/03/2022

July 2022: Research Talk

Alessandra Zarcone (Hochschule Augsburg): Caring about data before it was cool – language data between computational linguistics and real-world applications

Annemarie Friedrich
18/03/2022

Date : Tuesday, July 19, 2022 - 11am A linguist at heart, with a background in NLP and in psycholinguistics (Almae Matres: Pisa, Saarbrücken and Stuttgart). She has worked on lexical semantics, on world knowledge in incremental language processing and on human-machine interaction. After some years …

May 2022: Tutorial Talk

Dirk Hovy and Anne Lauscher (Bocconi University, Milan): Ethical Issues in NLP

Date : 9. Mai 2022 -- Language : English -- Title: Ethical Issues in NLP — A kind introduction and the special case of pronouns Abstract: Natural Language Processing is one of the core areas of artificial intelligence. Currently, the majority of the research efforts in this area are mostly opting …

April 2022: Research Talk

Seid Muhie Yimam (University of Hamburg): Challenges on social NLP (Hate Speech, Sentiment Analysis, Misinformation) Dataset Annotation

Annemarie Friedrich
10/01/2022

Date: Friday, April 1, 2022, 14:00 -- Language : English Abstract: The development of natural language processing and AI applications require a gold standard dataset. Data is the pillar of those intelligent applications, and an annotation is a way to acquire it. In this talk, I will first discuss …

Februar 2022: Research Talk

Thomas Proisl (FAU Erlangen-Nürnberg): The statistical analysis of cooccurrences: From collocations to arbitrary structures

Date: 17. February 2022, 16:00 -- Language : English Abstract: The study of cooccurrences, i. e. the analysis of linguistic units that occur together, has had a profound impact on our view of language. In this talk, I will discuss how we can generalize established methods for the statistical …

November 2021: Research Talk

Sabine Schulte im Walde (Universität Stuttgart): Computational Models of Abstractness and Figurative Language

Date: Friday, Nov 19, 11.30am -- Language : English Abstract: The distinction between abstract and concrete words (such as "dream" in contrast to "banana") is considered a highly relevant semantic categorisation for Natural Language Processing purposes. For example, previous studies have identified …

September 2021: Research Talk

Alexander Koller (Saarland University): Compositional semantic parsing

Annemarie Friedrich
27/10/2020

Date : September 16, 2021, 4pm -- Language : English Abstract : There are many technical approaches to mapping natural-language sentences to symbolic meaning representations. The current dominant approach is with neural sequence-to-sequence models which map the sentence to a string version of the …

July 2021: Tutorial Talk (Afternoon Session)

The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation.

Date : July 6, 1.30pm-3pm -- Language : English (German on demand) Let the computer actively help you to enrich your texts with annotations and to link your texts to knowledge bases - this is what the INCEpTION text annotation platform helps you with. No matter if you work alone or in a team or if …

July 2021: Tutorial Talk (Morning Session)

Annemarie Friedrich (Bosch Center for Artificial Intelligence): Text Annotation

Date : July 6, 10am-12pm -- Language : English (German on demand) Important : If you are new to text annotation, this tutorial is a great preparation for our tutorial about the INCEpTION platform! Abstract : This tutorial guides you through the steps for manual annotation with the aim of text …

June 2021: Research Talk

Alexander Fraser (Ludwig-Maximilians-Universität München): Overcoming Data Sparsity in Machine Translation

Date : Monday, June 14th, 2021, 11am -- Language : English -- Abstract : Data-driven Machine Translation is an interesting application of machine-learning-based natural language processing techniques to multilingual data. Particularly with the recent advent of powerful neural network models, it has …

April 2021: Research Talk

Benjamin Roth (University of Vienna): Weakly supervised machine learning for text analysis

Date : Tuesday, April 27, 2021 -- 4pm Language : English Abstract : Deep learning relies on massive training sets of labeled examples to learn from - often tens of thousands to millions to reach peak predictive performance. However, large amounts of training data are only available for very few …

March 2021: Tutorial Talk

Daria Stepanova (Bosch Center for Artificial Intelligence): Rule Induction and Reasoning over Knowledge Graphs

Date : Friday, March 26, 4pm -- Language : English (Q&A also German) -- Abstract : Advances in information extraction have enabled the automatic construction of large knowledge graphs (KGs) like DBpedia, Freebase, YAGO and Wikidata. Learning rules from KGs is a crucial task for KG completion, …

14 Items · Page 1/2 · Previous · Next