Anna Karnysheva

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2021

pdf bib
Leveraging Task Information in Grammatical Error Correction for Short Answer Assessment through Context-based Reranking
Ramon Ziai | Anna Karnysheva
Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning

2020

pdf bib
TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings
Anna Karnysheva | Pia Schwarz
Proceedings of the Fourteenth Workshop on Semantic Evaluation

This paper describes our system for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. Target words of corpora from two different time periods are classified according to their semantic change. The languages covered are English, German, Latin, and Swedish. Our approach involves clustering ELMo embeddings using DBSCAN and K-means. For a more fine grained detection of semantic change we take the Jensen-Shannon Distance metric and rank the target words from strongest to weakest change. The results show that this is a valid approach for the classification subtask where we rank 13th out of 33 groups with an accuracy score of 61.2%. For the ranking subtask we score a Spearman’s rank-order correlation coefficient of 0.087 which places us on rank 29.
Search
Co-authors
Venues
Fix data