Effective token graph modeling using a novel labeling strategy for structured sentiment analysis
The state-of-the-art model for structured sentiment analysis casts the task as a dependency
parsing problem, which has some limitations:(1) The label proportions for span prediction …
parsing problem, which has some limitations:(1) The label proportions for span prediction …
Operationalizing a national digital library: The case for a Norwegian transformer model
In this work, we show the process of building a large-scale training set from digital and
digitized collections at a national library. The resulting Bidirectional Encoder …
digitized collections at a national library. The resulting Bidirectional Encoder …
Structured sentiment analysis as dependency graph parsing
Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time
this task has been subdivided into smaller and smaller sub-tasks, e, g,, target extraction or …
this task has been subdivided into smaller and smaller sub-tasks, e, g,, target extraction or …
SemEval 2022 task 10: Structured sentiment analysis
In this paper, we introduce the first SemEval shared task on Structured Sentiment Analysis,
for which participants are required to predict all sentiment graphs in a text, where a single …
for which participants are required to predict all sentiment graphs in a text, where a single …
Large-scale contextualised language modelling for Norwegian
We present the ongoing NorLM initiative to support the creation and use of very large
contextualised language models for Norwegian (and in principle other Nordic languages) …
contextualised language models for Norwegian (and in principle other Nordic languages) …
skweak: Weak supervision made easy for NLP
We present skweak, a versatile, Python-based software toolkit enabling NLP developers to
apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging …
apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging …
NorBench--A Benchmark for Norwegian Language Models
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 …
Norwegian language models (LMs) on standardized data splits and evaluation metrics. We …
USSA: A unified table filling scheme for structured sentiment analysis
Most previous studies on Structured Sentiment Analysis (SSA) have cast it as a problem of bi-
lexical dependency parsing, which cannot address issues of overlap and discontinuity …
lexical dependency parsing, which cannot address issues of overlap and discontinuity …
Entity-level sentiment analysis (ELSA): An exploratory task survey
This paper explores the task of identifying the overall sentiment expressed towards volitional
entities (persons and organizations) in a document--what we refer to as Entity-Level …
entities (persons and organizations) in a document--what we refer to as Entity-Level …
Machamp at semeval-2022 tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task multi-lingual learning for a pre-selected set of semantic datasets
R Van der Goot - Proceedings of the 16th International Workshop …, 2022 - aclanthology.org
Previous work on multi-task learning in Natural Language Processing (NLP)
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …