Challenge: e-lexicography is a field of study dealing with the automated creation of specialized multilingual dictionaries from structured data.
Approach: They propose to use a SKOS-XL vocabulary for modelling the multilingual terminological part of comparable taxonomies and OntoLex-Lemon for modelling multilingual lexical entries.
Outcome: The proposed model can be explicitly cross-linked in the context of the Linguistic Linked Open Data (LLOD).

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Browsing the Terminological Structure of a Specialized Domain: A Method Based on Lexical Functions and their Classification (L18-1)

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Challenge: a method for browsing relations between terms and unveiling terminological structure of a specialized domain is described.
Approach: They propose a method for browsing relations between terms and unveiling terminological structure of a specialized domain.
Outcome: The proposed method expands graph that takes as input relations encoded in a terminological resource called the DiCoEnviro . it provides an explicit and intuitive representation of a wide variety of relations while making some graphical choices to make their interpretation as clear as possible for end users.
Multilingualization of Medical Terminology: Semantic and Structural Embedding Approaches (2020.lrec-1)

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Challenge: Existing methods for multilingual terminology curation are limited as they do not fit the term within existing terminology.
Approach: They propose a method to encode the structural property of a term by aligning embeddings using graph convolutional networks trained from separate languages.
Outcome: The proposed method can encode the structural property of a term by aligning embeddings using graph convolutional networks trained from separate languages.
TriMED: A Multilingual Terminological Database (L18-1)

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Challenge: a terminological tool is developed to solve communication problems in medical language . medical terminology is often semantically complex and difficult to understand .
Approach: They propose a terminological tool that solves problems related to the opacity of medical language . they use a multilingual terminological-phraseological resource called TriMED to analyze medical terminology .
Outcome: The proposed tool solves problems related to the opacity that characterizes communication in the medical field among its actors.
Introducing Lexical Masks: a New Representation of Lexical Entries for Better Evaluation and Exchange of Lexicons (2020.lrec-1)

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Challenge: Existing standards for lexicon format and features are inadequate for evaluation and exchange . lexical masks are a powerful tool used to evaluate and exchange large lexiconic databases .
Approach: They propose a tool to evaluate and exchange lexicon databases in many languages . they propose lexical masks which represent the expected internal structure of a lexico .
Outcome: The proposed lexical masks can be used to evaluate and exchange lexicon databases in many languages.
MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations (2024.lrec-main)

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Challenge: Prior work has focused on analysing lexical semantic relations in word embeddings or probing pretrained language models (PLMs) with some exceptions.
Approach: They propose to use a multilingual parallel dataset of lexical semantic relations adapted from BATS in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian as an experiment on cross-lingual transfer of relational knowledge.
Outcome: The proposed dataset is adapted from a BATS-based dataset in 15 languages including low-resource languages such as Bambara, Lithuanian, and Albanian.
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap (2020.lrec-1)

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Challenge: Terminological resources are not available in standard formats such as Term Base eXchange (TBX) thus preventing their sharing and reuse.
Approach: They propose to convert terminological resources into TBX format and to integrate ontology-based information into terminologies.
Outcome: The proposed tool supports the process of creating ontology-aware terminologies . terminologie creation and maintenance determine the quality of the final product of a translation process .
On the Formal Standardization of Terminology Resources: The Case Study of TriMED (2020.lrec-1)

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Challenge: Terminology standardization plays an important role in the management of terminological resources.
Approach: They propose to re-model an existing multilingual terminological database for the medical domain, TriMED, and propose a method to make it compliant to the latest ISO/TC 37 standards.
Outcome: The proposed model should be compliant with the three most recent ISO/TC 37 standards and has a new data category repository and a Web application that can be used to access the multilingual terminological records.
Cross-lingual Semantic Representation for NLP with UCCA (2020.coling-tutorials)

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Challenge: introductory tutorial to UCCA, a symbolic meaning representation for semantic representations.
Approach: This tutorial introduces UCCA, a cross-linguistically applicable framework for semantic representation . it will provide a detailed introduction to the UCca annotation guidelines, design philosophy and available resources .
Outcome: The tutorial will provide a detailed introduction to the UCCA framework and compare it to other meaning representations.
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches (L18-1)

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Challenge: WordNets are lexical databases in which groups of synonyms are stored according to the semantic relationships between them.
Approach: This paper describes various approaches to constructing WordNets automatically by leveraging traditional lexical resources and newer trends such as word embeddings.
Outcome: The proposed methods leverage traditional lexical resources and newer trends such as word embeddings to build and evaluate WordNets.
Multi-lingual Entity Discovery and Linking (P18-5)

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Challenge: This tutorial reviews the framework of cross-lingual EL and motivates it as a broad paradigm for the Information Extraction task.
Approach: This tutorial will review the framework of cross-lingual EL and motivate it as a broad paradigm for the Information Extraction task.
Outcome: The aim of this tutorial is to review the framework of cross-lingual EL and motivate it as a broad paradigm for the Information Extraction task.

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