Syntax-based dynamic latent graph for event relation extraction
L Zhuang, H Fei, P Hu - Information Processing & Management, 2023 - Elsevier
This paper focuses on extracting temporal and parent–child relationships between news
events in social news. Previous methods have proved that syntactic features are valid …
events in social news. Previous methods have proved that syntactic features are valid …
Multi-VALUE: A framework for cross-dialectal English NLP
Dialect differences caused by regional, social, and economic factors cause performance
discrepancies for many groups of language technology users. Inclusive and equitable …
discrepancies for many groups of language technology users. Inclusive and equitable …
[HTML][HTML] Computing recommendations from free-form text
While searching for consumer goods, users frequently ask for suggestions from their peers
by writing short free-form textual requests. For example, when searching for movies users …
by writing short free-form textual requests. For example, when searching for movies users …
[HTML][HTML] Textual data augmentation using generative approaches-Impact on named entity recognition tasks
Abstract Industrial applications of Named Entity Recognition (NER) are usually confronted
with small and imbalanced corpora. This could harm the performance of trained and …
with small and imbalanced corpora. This could harm the performance of trained and …
Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation
J Liu, M Huang, Q Miao - 2024 International Joint Conference …, 2024 - ieeexplore.ieee.org
Named Entity Recognition (NER) models perform well on standard benchmarks, but they
often lack robustness when dealing with out-of-domain data. Recent studies have …
often lack robustness when dealing with out-of-domain data. Recent studies have …
Exploring Cross-Lingual Transfer Learning for Swedish Named Entity Recognition: Fine-tuning of English and Multilingual Pre-trained Models
D Lai Wikström, A Sparr - 2023 - diva-portal.org
Abstract Named Entity Recognition (NER) is a critical task in Natural Language Processing
(NLP), and recent advancements in language model pre-training have significantly …
(NLP), and recent advancements in language model pre-training have significantly …
Data augmentation and generation for natural language processing
H Boulanger - 2023 - theses.hal.science
More and more fields are looking to automate part of their process. Automatic language
processing contains methods for extracting information from texts. These methods can use …
processing contains methods for extracting information from texts. These methods can use …