A Framework for the Needs of Different Types of Users in Multilingual Semantic Enrichment (L18-1)
Copied to clipboard
| Challenge: | FREME framework bridges Language Technologies (LT) and Linked Data (LD) core attributes of FREMe are usability, reusability and interoperability. |
| Approach: | They define user types and user levels and describe how they influence design decisions in a LT and Linked Data processing framework. |
| Outcome: | The proposed framework bridges Language Technologies (LT) and Linked Data (LD) it addresses common challenges that researchers and industry face when integrating LT and LD: interoperability, "silo" solutions and the lack of adequate tooling. |
Similar Papers
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages (C18-2)
Copied to clipboard
| Challenge: | DAMESRL is an open source framework for deep semantic role labeling . language-specific characteristics and the available amount of training data influence the optimal model structure . |
| Approach: | They propose an open-source framework for deep semantic role labeling that is available under the Apache 2.0 license. |
| Outcome: | The proposed framework is available under the Apache 2.0 license. |
An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues (2025.naacl-long)
Copied to clipboard
| Challenge: | Existing studies on second language (SL) assessment of conversational fluency and interactivity have focused on written correction or pronunciation from ASR. |
| Approach: | They propose a framework that assesses the relationships between micro-level linguistic features and macro-level interactivity labels for Chinese-as-a-second-language dialogues. |
| Outcome: | The proposed framework is interpretable and can be adapted to other languages for second-language dialogue evaluation. |
Challenges and Strategies in Cross-Cultural NLP (2022.acl-long)
Copied to clipboard
Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard
| Challenge: | Various efforts have been made to accommodate linguistic diversity and serve speakers of many different languages. |
| Approach: | They propose a framework to examine cultural differences in NLP to better serve users . they argue that cultural knowledge, preferences and values can affect NLP practices . |
| Outcome: | The proposed framework examines how cultural knowledge, preferences and values can affect NLP practices. |
Linghub2: Language Resource Discovery Tool for Language Technologies (2022.lrec-1)
Copied to clipboard
| Challenge: | Linghub is a platform for language resources that can be used to find and retrieve data . the platform is based on a popular open source data management system, DSpace . |
| Approach: | This work describes a rejuvenation and modernisation of the 2015 platform into using a popular open source data management system, DSpace, as foundation. |
| Outcome: | Linghub2 1 aims to help language resources and technology users find and retrieve relevant data . the new platform, Ling hub2, contains updated and extended resources and more languages offered . |
Multi-lingual Entity Discovery and Linking (P18-5)
Copied to clipboard
| 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. |
Teanga: A Linked Data based platform for Natural Language Processing (L18-1)
Copied to clipboard
| Challenge: | Using linked data, we can use many NLP services from a single interface . integrating components within a development model is endemic to software development . |
| Approach: | They propose a linked data based platform for natural language processing that uses linked data to define the types of services input and output. |
| Outcome: | The proposed platform is easy to install and run, easy to use and able to run multiple NLP tasks from one interface. |
Recent Developments for the Linguistic Linked Open Data Infrastructure (2020.lrec-1)
Copied to clipboard
Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saurí, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
| Challenge: | Language data is rarely 'ready-to-use' and language technology specialists spend over 80% of their time cleaning, organizing and collecting language datasets. |
| Approach: | They propose a methodology for building data value chains based around language resources and language technologies that can be integrated by means of semantic technologies. |
| Outcome: | The proposed methodology is based on language resources and language technologies that can be integrated by means of semantic technologies. |
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)
Copied to clipboard
| Challenge: | a recent advent of pretrained language models has sparked a revolution in NLP . but, there are still questions about whether current approaches capture explicit, symbolic meaning . this tutorial will review efforts to tackle three key open problems in lexical and sentence-level semantics . |
| Approach: | This tutorial reviews recent efforts to shed light on meaning in NLP . it will focus on three key open problems in lexical and sentence-level semantics . |
| Outcome: | This tutorial reviews recent efforts to shed light on meaning in NLP . it focuses on three key open problems in lexical and sentence-level semantics . |
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models (2020.emnlp-demos)
Copied to clipboard
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
| Challenge: | Existing tools for modeling and understanding models are limited . existing tools can assist practitioners in understanding and evaluating models . |
| Approach: | They present an open-source platform for visualization and understanding of NLP models. |
| Outcome: | The language interpretability tool (lit) is an open-source platform for visualization and understanding of NLP models. |
A Lightweight Modeling Middleware for Corpus Processing (L18-1)
Copied to clipboard
| Challenge: | Present-day empirical research in computational or theoretical linguistics has richly annotated and diverse corpus resources. |
| Approach: | They propose a framework for modeling arbitrary multi-modal corpus resources in a unified form for processing tools. |
| Outcome: | The proposed framework allows researchers to explore and query more diverse corpus resources and artifacts through a single interactive interface. |