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Found 14 papers, 0 papers with code
TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts
We describe two systems for semantic relation classification with which we participated in the SemEval 2018 Task 7, subtask 1 on semantic relation classification: an SVM model and a CNN model.
Two Layers of Annotation for Representing Event Mentions in News Stories
In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models.
An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds
In this paper, we present our preliminary study on an ontology-based method to extract and classify compositional nominal compounds in specific domains of knowledge.
Predicting News Values from Headline Text and Emotions
We present a preliminary study on predicting news values from headline text and emotions.
From Natural Language to Ontology Population in the Cultural Heritage Domain. A Computational Linguistics-based approach.
This paper presents an on-going Natural Language Processing (NLP) research based on Lexicon-Grammar (LG) and aimed at improving knowledge management of Cultural Heritage (CH) domain.
Semi-automatic Parsing for Web Knowledge Extraction through Semantic Annotation
Parsing Web information, namely parsing content to find relevant documents on the basis of a user{'}s query, represents a crucial step to guarantee fast and accurate Information Retrieval (IR).
LaCulturaNonSiFerma -- Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown
This report presents an analysis of #hashtags used by Italian Cultural Heritage institutions to promote and communicate cultural content during the COVID-19 lock-down period in Italy.
Terme-\`a-LLOD: Simplifying the Conversion and Hosting of Terminological Resources as Linked Data
While we apply this paradigm to the transformation and hosting of terminologies as linked data, the paradigm can be applied to any other resource format as well.
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap
Terminological resources have proven crucial in many applications ranging from Computer-Aided Translation tools to authoring softwares and multilingual and cross-lingual information retrieval systems.
#LaCulturaNonsiFerma: Report on Use and Diffusion of #Hashtags from the Italian Cultural Institutions during the COVID-19 outbreak
This report presents an analysis of #hashtags used by Italian Cultural Heritage institutions to promote and communicate cultural content during the COVID-19 lock-down period in Italy.
A Survey of Guidelines and Best Practices for the Generation, Interlinking, Publication, and Validation of Linguistic Linked Data
This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data.
