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U. Hahn

21 papers hereh-index 457.7k citations340 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3
  • last author14

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cmp-lg9
  • cs.IR1
  • cs.LG1
same name
  • U. Hahn — 5 papers, h 12
  • U. Hahn — 4 papers, h 43
  • U. Hahn — 1 paper, h 6
  • U. Hahn — 1 paper, h 5
  • U. Hahn — 1 paper, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19942023
most citedA Conceptual Reasoning Approach to Textual Ellipsis

26 citations · 101 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Towards Label-Agnostic Emotion Embeddings

Sven Buechel, Luise Modersohn, Udo Hahn

Research in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sen…

cs.CL2020★ 2 cited

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines

Florian Borchert, Christina Lohr, Luise Modersohn +5

The lack of publicly accessible text corpora is a major obstacle for progress in natural language processing. For medical applications, unfortunately, all language communities othe…

cs.IR2020★ 6 cited

What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way

Erik Faessler, Michel Oleynik, Udo Hahn

From 2017 to 2019 the Text REtrieval Conference (TREC) held a challenge task on precision medicine using documents from medical publications (PubMed) and clinical trials. Despite l…

cs.CL2020

Learning and Evaluating Emotion Lexicons for 91 Languages

Sven Buechel, Susanna Rücker, Udo Hahn

Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis. Yet, manually curated lexicons are only avai…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.