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Found 20 papers, 6 papers with code
A computational psycholinguistic evaluation of the syntactic abilities of Galician BERT models at the interface of dependency resolution and training time
This paper explores the ability of Transformer models to capture subject-verb and noun-adjective agreement dependencies in Galician.
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identifying whether a sentence contains an idiomatic expression, and (b) a task based on semantic text similarity which requires the model to adequately represent potentially idiomatic expressions in context.
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
This paper presents the Noun Compound Type and Token Idiomaticity (NCTTI) dataset, with human annotations for 280 noun compounds in English and 180 in Portuguese at both type and token level.
Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy
We assess the ability of both static and contextualized models to adequately represent different lexical-semantic relations, such as homonymy and synonymy.
Probing for idiomaticity in vector space models
Contextualised word representation models have been successfully used for capturing different word usages and they may be an attractive alternative for representing idiomaticity in language.
Bertinho: Galician BERT Representations
The experiments show that our models, especially the 12-layer one, outperform the results of mBERT in most tasks.
Unsupervised Compositional Translation of Multiword Expressions
This article describes a dependency-based strategy that uses compositional distributional semantics and cross-lingual word embeddings to translate multiword expressions (MWEs).
A Method to Automatically Identify Diachronic Variation in Collocations.
This paper introduces a novel method to track collocational variations in diachronic corpora that can identify several changes undergone by these phraseological combinations and to propose alternative solutions found in later periods.
A comparison of statistical association measures for identifying dependency-based collocations in various languages.
This paper presents an exploration of different statistical association measures to automatically identify collocations from corpora in English, Portuguese, and Spanish.
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations.
This paper presents a new multilingual corpus with semantic annotation of collocations in English, Portuguese, and Spanish.
Towards Syntactic Iberian Polarity Classification
Lexicon-based methods using syntactic rules for polarity classification rely on parsers that are dependent on the language and on treebank guidelines.
A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies
We also compare our system with a delexicalized parser for Romance languages, and take advantage of the harmonized annotation of Universal Dependencies to propose a language ranking based on the syntactic distance each variety has from Romance languages.
Using bilingual word-embeddings for multilingual collocation extraction
This paper presents a new strategy for multilingual collocation extraction which takes advantage of parallel corpora to learn bilingual word-embeddings.
A Web Interface for Diachronic Semantic Search in Spanish
This article describes a semantic system which is based on distributional models obtained from a chronologically structured language resource, namely Google Books Syntactic Ngrams. The models were created using dependency-based contexts and a strategy for reducing the vector space, which consists in selecting the more informative and relevant word contexts.
Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level
This paper explores the incorporation of lexico-semantic heuristics into a deterministic Coreference Resolution (CR) system for classifying named entities at document-level.
Multilingual corpora with coreferential annotation of person entities
This paper presents three corpora with coreferential annotation of person entities for Portuguese, Galician and Spanish.
