Let’s Debate! Natural Language Processing at a Large Scale

Lecture DEI Series

Date: October 19th

Time: 15:30

Room: B010

Speaker: Iryna Gurevych

Affiliation: UKP Lab, TU Darmstadt, Germany

Abstract

The UKP Lab carries out cutting-edge research in natural language processing (NLP) with a strong emphasis on lexical-semantic resources and algorithms, and the innovative applications of NLP to novel problems in social media, social sciences, and humanities. The aim is to develop new approaches to automatically process and manage the knowledge represented in a variety of forms and repositories, with a strong focus on textual information processing and large-scale content analysis on the Web.

With DKPro, the UKP Lab offers an open-source, industrial-strength framework for a wide variety of NLP tasks. These include general-purpose tools for parsing, POS tagging, tokenisation, etc., as well as specialised frameworks for corpus annotation, text classification, text similarity, and word sense disambiguation.

The UKP Lab also produce and maintain multiple linguistic datasets and resources. Foremost among these is UBY, our large-scale unified lexical-semantic resource, which integrates ten different linguistic and Web-based lexical-semantic knowledge bases in English and German. Distinguishing features of UBY are the sense links between individual resources and its standardised representation.

In this talk, the main research lines explored in the UKP lab will be presented, including: Deep Learning in NLP, Argumentation Mining, Lexical-Semantic Resources and Algorithms, Text Mining & Analytics, Writing Assistance and Language Learning, and Language Technology for Digital Humanities. The research developed at the UKP lab has a high impact in the scientific community, with regular acceptance in the main conferences in the research area of ML and NLP (ACL, EMNLP, NAACL, COLING, etc).

Short-Bio

Iryna Gurevych is a professor of computer science at TU Darmstadt, where she leads the UKP Lab and the Research Training Group 1994 “Adaptive Preparation of Information from Heterogeneous Sources” (AIPHES) funded by the German Research Foundation. She has a broad range of research interests in natural language processing, with a focus on computational argumentation, computational lexical semantics, semantic information management, and discourse and dialogue processing. She has co-founded and co-organized the workshop series “Collaboratively Constructed Semantic Resources and their Applications to NLP”, “Argument Mining” and several research events on innovative applications of NLP to education, social sciences and humanities. More information can be found: https://www.ukp.tu-darmstadt.de/.

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Posted in DEI Talks.