An overview of temporal commonsense reasoning and acquisition
G Wenzel, A Jatowt - arXiv preprint arXiv:2308.00002, 2023 - arxiv.org
Temporal commonsense reasoning refers to the ability to understand the typical temporal
context of phrases, actions, and events, and use it to reason over problems requiring such …
context of phrases, actions, and events, and use it to reason over problems requiring such …
Complex QA and language models hybrid architectures, Survey
This paper reviews the state-of-the-art of language models architectures and strategies for"
complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large …
complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large …
Transformer-based named entity recognition on drone flight logs to support forensic investigation
The increase in drone usage by the public brings the number of drone incident and attack
up. Sophisticated preventive mechanisms, as well as post-incident procedures and …
up. Sophisticated preventive mechanisms, as well as post-incident procedures and …
Temporal Blind Spots in Large Language Models
Large language models (LLMs) have recently gained significant attention due to their
unparalleled zero-shot performance on various natural language processing tasks …
unparalleled zero-shot performance on various natural language processing tasks …
Extraction of time-related expressions using text mining with application to Hebrew
D Mughaz, Y HaCohen-Kerner, D Gabbay - Plos one, 2024 - journals.plos.org
In this research, we extract time-related expressions from a rabbinic text in a semi-automatic
manner. These expressions usually appear next to rabbinic references (name/nickname …
manner. These expressions usually appear next to rabbinic references (name/nickname …
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Joint Multimodal Entity-Relation Extraction (JMERE) is a challenging task that aims to extract
entities and their relations from textimage pairs in social media posts. Existing methods for …
entities and their relations from textimage pairs in social media posts. Existing methods for …
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
In the evolving field of Natural Language Processing, understanding the temporal context of
text is increasingly crucial. This study investigates methods to incorporate temporal …
text is increasingly crucial. This study investigates methods to incorporate temporal …
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering
We introduce ComplexTempQA, a large-scale dataset consisting of over 100 million
question-answer pairs designed to tackle the challenges in temporal question answering …
question-answer pairs designed to tackle the challenges in temporal question answering …
Temporal Validity Change Prediction
G Wenzel, A Jatowt - arXiv preprint arXiv:2401.00779, 2024 - arxiv.org
Temporal validity is an important property of text that is useful for many downstream
applications, such as recommender systems, conversational AI, or story understanding …
applications, such as recommender systems, conversational AI, or story understanding …
Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records
Z Deng, H Yang, J Wang - International Conference on Neural Information …, 2023 - Springer
Named entity disambiguation (NED) is a fundamental task in NLP. Although numerous
methods have been proposed for NED in recent years, they ignore the fact that a lot of real …
methods have been proposed for NED in recent years, they ignore the fact that a lot of real …