most citedContextualized language models for semantic change detection: lessons learned

20 citations · 24 across the 8 of their papers we have counts for

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cs.CL2024

Entity-Level Sentiment: More than the Sum of Its Parts

Egil Rønningstad, Roman Klinger, Lilja Øvrelid +1

In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studi…

cs.CL2024

Compositional Generalization with Grounded Language Models

Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier +3

Grounded language models use external sources of information, such as knowledge graphs, to meet some of the general challenges associated with pre-training. By extending previous w…

cs.CL2023

Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis

Anthi Papadopoulou, Pierre Lison, Mark Anderson +2

Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individu…

cs.CL2023

Text-To-KG Alignment: Comparing Current Methods on Classification Tasks

Sondre Wold, Lilja Øvrelid, Erik Velldal

In contrast to large text corpora, knowledge graphs (KG) provide dense and structured representations of factual information. This makes them attractive for systems that supplement…

cs.CL20233 cited

NorBench -- A Benchmark for Norwegian Language Models

David Samuel, Andrey Kutuzov, Samia Touileb +5

We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics. We also introduc…

cs.CL2023

NorQuAD: Norwegian Question Answering Dataset

Sardana Ivanova, Fredrik Aas Andreassen, Matias Jentoft +2

In this paper we present NorQuAD: the first Norwegian question answering dataset for machine reading comprehension. The dataset consists of 4,752 manually created question-answer p…