Papers by Elena-Simona Apostol

5 papers
Cross-Lingual Link Discovery for Under-Resourced Languages (2022.lrec-1)

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Challenge: Linked data paradigms can be used to solve under-resourced languages' problem of under-utilization of resources.
Approach: They propose a paradigm for cross-lingual link discovery that can be applied to under-resourced languages . they argue that techniques for cross language linking can be readily applied .
Outcome: The proposed technologies can be applied to under-resourced languages, the authors argue . the authors show that the Linked Data paradigm can be used to solve the problem .
Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC (2022.coling-1)

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Challenge: OntoLex-Lemon has become a de facto standard for lexical resources in the web of data.
Approach: This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, and Corpus-Based Information.
Outcome: This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, and Corpus-Based Information (OntoLx-FrAC) it is intended to complement OntoLemon with the vocabulary to represent major types of information found in or automatically derived from corpora, for applications in both language technology and the language sciences.
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.
Neural Approaches for Natural Language Interfaces to Databases: A Survey (2020.coling-main)

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Challenge: Interest in NLIDBs has resurged in the past years due to the availability of large datasets and improvements to neural sequence-to-sequence models.
Approach: They focus on key design decisions behind current state of the art neural approaches . they highlight linking question tokens to database schema elements .
Outcome: The proposed approaches are grouped into encoder and decoder improvements . they include better architectures for encoding the textual query taking into account the schema and improved generation of structured queries using autoregressive neural models.
ISO-based Annotated Multilingual Parallel Corpus for Discourse Markers (2022.lrec-1)

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Challenge: Discourse markers carry information about the discourse structure and organization, and also signal local dependencies or epistemic stance of speaker.
Approach: They propose an ISO-based annotated multilingual parallel corpus for discourse markers . they propose an annotation scheme for discourse relations with a plug-in to ISO 24617-2 .
Outcome: The proposed language resource is based on an ISO-based annotated multilingual parallel corpus of discourse markers.

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