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20172025
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cs.CL2025

A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models

Huiyao Chen, Meishan Zhang, Jing Li +4

Semantic role labeling (SRL) is a central natural language processing task for understanding predicate-argument structures within texts and enabling downstream applications. Despit…

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.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

Tokenization with Factorized Subword Encoding

David Samuel, Lilja Øvrelid

In recent years, language models have become increasingly larger and more complex. However, the input representations for these models continue to rely on simple and greedy subword…

cs.CL2020

Building a Norwegian Lexical Resource for Medical Entity Recognition

Ildikó Pilán, Pål H. Brekke, Lilja Øvrelid

We present a large Norwegian lexical resource of categorized medical terms. The resource merges information from large medical databases, and contains over 77,000 unique entries, i…

cs.CL2019

One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts

Andrey Kutuzov, Erik Velldal, Lilja Øvrelid

We extend the well-known word analogy task to a one-to-X formulation, including one-to-none cases, when no correct answer exists. The task is cast as a relation discovery problem a…