Published April 8, 2022
| Version v1
Dataset
Open
Webis-Context-sensitive-Word-Search-Queries-2022
- 1. Bauhaus-Universität Weimar
- 2. Leipzig University
Description
This is the dataset created for Language Models as Context-sensitive Word Search Engines at the In2Writing workshop at ACL22.
Cite
@inproceedings{wiegmann:2022,
title = "Language Models as Context-sensitive Word Search Engines",
author = "Wiegmann, Matti and V{\"{o}}lske, Michael and Potthast, Martin and Stein, Benno",
booktitle = "Proceedings of the 1st Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)",
month = may,
year = "2022",
address = "Online",
publisher = "Association for Computational Linguistics",
Datasets
This repository contains two datasets with word search queries. Each word search query consists of a token n-gram with one wildcard token ([MASK]). The answers to each query are the most likely token to replace the mask. All queries originate from wikitext-103 and CLOTH, the respected source is annotated for each query.
The original-token dataset lists exactly one top answer for each query. The ranked-answers dataset lists multiple, sorted answers in three relevance categories, where 3 is the most relevant. Please refer to the citation for more details.
Files
webis-context-sensitive-word-search-queries-22.zip
Files
(489.3 MB)
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