output
20192026
most citedUnraveling the Hidden Environmental Impacts of AI Solutions for Environment

180 citations

Showing cs.CLShow all

35 papers · 1 filter

cs.CL2025★ 23 cited

Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana

Koena Ronny Mabokela, Tim Schlippe, Mpho Raborife +1

Sentiment analysis is a helpful task to automatically analyse opinions and emotions on various topics in areas such as AI for Social Good, AI in Education or marketing. While many…

cs.CL2025

Formalizing Style in Personal Narratives

Gustave Cortal, Alain Finkel

Personal narratives are stories authors construct to make meaning of their experiences. Style, the distinctive way authors use language to express themselves, is fundamental to how…

cs.CL2025★ 1 cited

9th Workshop on Sign Language Translation and Avatar Technologies (SLTAT 2025)

Fabrizio Nunnari, Cristina Luna Jiménez, Rosalee Wolfe +5

The Sign Language Translation and Avatar Technology (SLTAT) workshops continue a series of gatherings to share recent advances in improving deaf / human communication through non-i…

cs.CL2025

Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog

Lautaro Estienne, Gabriel Ben Zenou, Nona Naderi +2

As AI systems take on collaborative roles, they must reason about shared goals and beliefs-not just generate fluent language. The Rational Speech Act (RSA) framework offers a princ…

cs.CL2024★ 1 cited

Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection

Ayoub Hammal, Benno Uthayasooriyar, Caio Corro

Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions. This paper…

cs.CL2024★ 4 cited

Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment

Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong +4

Large language models (LLMs) represent a promising, but controversial, tool in aiding scientific peer review. This study evaluates the usefulness of LLMs in a conference setting as…