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Found 10 papers, 5 papers with code
The place of ISO-Space in Text2Story multilayer annotation scheme
The main objective of this paper is to discuss the process of integrating ISO-Space with the existing layers of our annotation scheme, assessing the compatibility of the aforementioned parts of ISO 24617, and the problems posed by the harmonization of the four layers and by some specifications of ISO-Space.
TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification
This corpus comprises a total of $138, 069$ documents (over six languages) with $1, 050, 921$ temporal expressions, the largest open-source annotated dataset for temporal expression identification to date.
Indexing Portuguese NLP Resources with PT-Pump-Up
Access to this data is commonly not a trivial process due to resource dispersion and the need to maintain these infrastructures online and up-to-date.
Physio: An LLM-Based Physiotherapy Advisor
The capabilities of the most recent language models have increased the interest in integrating them into real-world applications.
GPT Struct Me: Probing GPT Models on Narrative Entity Extraction
By studying the strengths and limitations of these models in the context of information extraction, we offer insights that can guide future improvements and avenues to explore in this field.
FALQU: Finding Answers to Legal Questions
This paper presents a new test collection for Legal IR, FALQU: Finding Answers to Legal Questions, where questions and answers were obtained from Law Stack Exchange (LawSE), a Q&A website for legal professionals, and others with experience in law.
tieval: An Evaluation Framework for Temporal Information Extraction Systems
All in all, these problems have limited the fair comparison between approaches and consequently, the development of temporal extraction systems.
ECIR 2020 Workshops: Assessing the Impact of Going Online
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
Also, an attention-based graph convolutional network is proposed, to carry syntactically related information along the shortest paths between argument candidates that captures and aggregates the latent associations between arguments; a problem that has been overlooked by most of the literature.
YAKE! Keyword extraction from single documents using multiple local features
In this paper, we present YAKE!, a novel feature-based system for multi-lingual keyword extraction from single documents, which supports texts of different sizes, domains or languages.
