The Lexometer: A Shiny Application for Exploratory Analysis and Visualization of Corpus Data (2022.lrec-1)
Copied to clipboard
| Challenge: | Lexometer is a data science application that integrates data analysis and visualization functions into an easy-to-use graphical user interface. |
| Approach: | They propose a Shiny application that integrates data analysis and visualization functions into an easy-to-use graphical user interface. |
| Outcome: | The Lexometer integrates numerous data analysis and visualization functions into an easy-to-use graphical user interface. |
Similar Papers
NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus (2024.eacl-demo)
Copied to clipboard
| Challenge: | a comprehensive statistical analysis of legal corpus requires specialized tools or programming skills. |
| Approach: | They propose a no-code tool for large-scale statistical analysis of legal corpus . NESTLE can extract any type of information that has not been predefined in the IE system . |
| Outcome: | The proposed tool can perform comparable to LexGLUE on 15 Korean precedent IE tasks and 3 legal text classification tasks. |
RKorAPClient: An R Package for Accessing the German Reference Corpus DeReKo via KorAP (2020.lrec-1)
Copied to clipboard
| Challenge: | RKorAPClient provides access to large annotated corpora including the German reference corpus DeReKo with 45 billion tokens. |
| Approach: | They propose to integrate KorAP with an R package that interacts with KorAP API . the package provides access to large annotated corpora including the German reference corpus DeReKo . |
| Outcome: | The proposed tool provides access to large annotated corpora including the German reference corpus DeReKo with 45 billion tokens. |
The ACQDIV Corpus Database and Aggregation Pipeline (2020.lrec-1)
Copied to clipboard
| Challenge: | ACQDIV corpus database and aggregation pipeline aims to identify universal cognitive processes that allow children to acquire any language. |
| Approach: | They present the ACQDIV corpus database and aggregation pipeline . the tool aims to identify universal cognitive processes that allow children to acquire any language . |
| Outcome: | The ACQDIV corpus database and aggregation pipeline is a tool developed by the European Research Council . the database represents 15 corpora from 14 typologically maximally diverse languages . |
Towards a Gold Standard Corpus for Variable Detection and Linking in Social Science Publications (L18-1)
Copied to clipboard
| Challenge: | a new corpus for detecting and linking survey variables is being developed . the corpus is multilingual and includes manually curated word and phrase alignments . |
| Approach: | They propose to create a corpus for the evaluation of detecting and linking survey variables in social science publications. |
| Outcome: | The proposed corpus is the first gold standard for the variable detection and linking task. |
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2022.acl-long)
Copied to clipboard
Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Katz, Nikolaos Aletras
| Challenge: | Laws and their interpretations, legal arguments and agreements are typically expressed in writing. |
| Approach: | They propose a benchmark to evaluate model performance across legal NLU tasks . they also evaluate several generic and legal-oriented models . |
| Outcome: | The proposed model performs better across multiple tasks than previous models. |
Praaline: An Open-Source System for Managing, Annotating, Visualising and Analysing Speech Corpora (P18-4)
Copied to clipboard
| Challenge: | Praaline is an open-source software system for constituting and managing spoken language and multimodal corpora. |
| Approach: | They present the latest developments of Praaline, an open-source software system for constituting and managing spoken language and multimodal corpora. |
| Outcome: | The proposed system can be used for creating, managing, visualising and analysing spoken language and multimodal corpora. |
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users (2020.lrec-1)
Copied to clipboard
| Challenge: | Gigaword corpus is a large text corpus used in natural language processing . large corpora are needed to achieve better performance in the field of NLP . |
| Approach: | They propose a set of tools to facilitate the use of the Icelandic Gigaword Corpus . they provide n-grams based on the corpus, and a variety of pre-trained word embeddings models . |
| Outcome: | The proposed tools facilitate the use of the Icelandic Gigaword corpus in the field of Natural Language Processing and other fields. |
A Short Survey on Sense-Annotated Corpora (2020.lrec-1)
Copied to clipboard
| Challenge: | Word Sense Disambiguation (WSD) is a key task in Natural Language Understanding. |
| Approach: | They propose to use sense-annotated corpora for supervised Word Sense Disambiguation. |
| Outcome: | The proposed methods have been compared with knowledge-based approaches and have shown to be more efficient when they are available. |
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)
Copied to clipboard
| Challenge: | Until recently, language descriptions were available in paper form only, with indexes as the only search aid. |
| Approach: | They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful. |
| Outcome: | The proposed corpus is searchable through a couple of well-established corpus infrastructures. |
Enriching a Lexicon of Discourse Connectives with Corpus-based Data (L18-1)
Copied to clipboard
| Challenge: | Existing annotation efforts for multiple languages have focused on discourse connectives, but we have limited it to the class of connectives marking contrast and the additional relations such connectives might convey. |
| Approach: | They enrich a lexicon of italian COnnectives with real corpus data for connectives marking contrast relations in text. |
| Outcome: | The proposed resource is a valuable tool for linguistic analyses of discourse relations and the training of a classifier for NLP applications. |