3 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
Neural Text Normalization for Luxembourgish using Real-Life Variation Data
Anne-Marie Lutgen, Alistair Plum, Christoph Purschke +1
Orthographic variation is very common in Luxembourgish texts due to the absence of a fully-fledged standard variety. Additionally, developing NLP tools for Luxembourgish is a diffi…
A Deep Learning Approach to Language-independent Gender Prediction on Twitter
Reyhaneh Hashempour, Barbara Plank, Aline Villavicencio +1
This work presents a set of experiments conducted to predict the gender of Twitter users based on language-independent features extracted from the text of the users' tweets. The ex…
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
Lovish Madaan, David Esiobu, Pontus Stenetorp +2
In the recent past, a popular way of evaluating natural language understanding (NLU), was to consider a model's ability to perform natural language inference (NLI) tasks. In this p…
The Call for Socially Aware Language Technologies
Diyi Yang, Dirk Hovy, David Jurgens +1
Language technologies have made enormous progress, especially with the introduction of large language models (LLMs). On traditional tasks such as machine translation and sentiment…
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
Stephen Mayhew, Terra Blevins, Shuheng Liu +10
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages. The overarching goal of UNER is to provide high-qual…