34 citations · 103 across the 67 of their papers we have counts for
6 papers · 1 filter
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
Lily Ng, Anne Lauscher, Joel Tetreault +1
Computational models of argument quality (AQ) have focused primarily on assessing the overall quality or just one specific characteristic of an argument, such as its convincingness…
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto +1
Recent work has shown that distributional word vector spaces often encode human biases like sexism or racism. In this work, we conduct an extensive analysis of biases in Arabic wor…
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing
Anne Lauscher, Lily Ng, Courtney Napoles +1
Though preceding work in computational argument quality (AQ) mostly focuses on assessing overall AQ, researchers agree that writers would benefit from feedback targeting individual…
The OpenCitations Data Model
Marilena Daquino, Silvio Peroni, David Shotton +6
A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontol…
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro +3
Following the major success of neural language models (LMs) such as BERT or GPT-2 on a variety of language understanding tasks, recent work focused on injecting (structured) knowle…
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers
Anne Lauscher, Vinit Ravishankar, Ivan Vulić +1
Massively multilingual transformers pretrained with language modeling objectives (e.g., mBERT, XLM-R) have become a de facto default transfer paradigm for zero-shot cross-lingual t…