OpenWordnet-PT: an open access wordnet for Portuguese
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Updated
May 3, 2024 - Shell
OpenWordnet-PT: an open access wordnet for Portuguese
[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.
STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
Data Sets and Models for Evaluation of Lexical Semantic Change Detection
Compass-aligned Distributional Embeddings. Align embeddings from different corpora
Data for the DiMSUM shared task at SEMEVAL 2016
Resources developed by and for the project REACTION (Retrieval, Extraction and Aggregation Computing Technology for Integrating and Organizing News) an initiative for developing a computational journalism platform (mostly) for Portuguese.
Probing task; contextual embeddings -> textual definitions (EMNLP19)
Hindi SNACS (Semantic Network of Adposition and Case Supersenses; Schneider et al., 2018) annotation scheme and guidelines.
A systematic NLP framework that uses diachronic word embeddings to trace semantic shifts or variations in the context of words over time in the Greek language.
The code and data for "Understanding Jargon: Combining Extraction and Generation for Definition Modeling" (EMNLP '22)
Web based semantic visualization tool
Code for EMNLP'20 paper "When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models"
Supplementary data for the LREC 2018 paper "Introducing a Lexicon of Verbal Polarity Shifters for English" by Schulder, Wiegand, Ruppenhofer and Köser.
A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
An application for extracting certain data from BabelNet.
Sentiment classifier and polarity lexicon creator
Implementation of Lexical Analyzer ( Scanner ) part of compiler
Path-based hypernym prediction models in WordNet (WN18RR-hp)
Supplementary data for the COLING 2018 paper "Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German" by Schulder, Wiegand and Ruppenhofer.
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