Lena Dankin

According to our database1, Lena Dankin authored at least 20 papers between 2014 and 2024.

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Bibliography

2024
Conversational Prompt Engineering.
CoRR, 2024

2023
Zero-shot Topical Text Classification with LLMs - an Experimental Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Metaphor Interpretation Using Word Embeddings.
Computación y Sistemas, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.
CoRR, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An autonomous debating system.
Nat., 2021

Overview of the 2021 Key Point Analysis Shared Task.
Proceedings of the 8th Workshop on Argument Mining, 2021

2020
Automatic Metaphor Interpretation Using Word Embeddings.
CoRR, 2020

Active Learning for BERT: An Empirical Study.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Corpus Wide Argument Mining - A Working Solution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Hackathon for Classical Tibetan.
J. Data Min. Digit. Humanit., 2019

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining.
CoRR, 2019

A Dataset of General-Purpose Rebuttal.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining.
Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Stemming and Segmentation for Classical Tibetan.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
Proceedings of the COLING 2014, 2014


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