5 papers · 1 filter
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…
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…
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…