Papers by Chaya Liebeskind

7 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 .
Automatic Thesaurus Construction for Modern Hebrew (L18-1)

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Challenge: Modern Hebrew lacks lexical resources fundamental to many natural language processing tools.
Approach: They propose a method for generating a cooccurrence based thesaurus in a MRL and a distributional similarity method for Hebrew.
Outcome: The proposed method is not optimal for modern Hebrew, the authors show . they used Hebrew WordNet as their gold standard for the analysis .
From Linguistic Linked Data to Big Data (2024.lrec-main)

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Challenge: Language data on the LOD cloud has grown in number, size, and variety . Linked (Open) Data (LLOD) is a standardized way of representing and sharing linguistic datasets .
Approach: They propose to combine LLOD and Big Data to improve interoperability of linguistic datasets . they propose to use a machine-readable format to represent and share linguistic data .
Outcome: This paper examines the use cases of Linked (Open) Data and Big Data in language data.
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.
Morphological Complexity of Children Narratives in Eight Languages (2022.lrec-1)

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Challenge: morphological complexity of a corpus representing the language production of younger and older children is compared across different languages.
Approach: a study compares morphological complexity of a corpus representing language production of younger and older children across different languages.
Outcome: The results show that younger children corpora have lower morphological complexity than older children corpus for Spanish and Russian.
Offensive language detection in Hebrew: can other languages help? (2022.lrec-1)

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Challenge: Various approaches for offensive language detection have been applied for this task . contamination of social networks with offensive content is a new reality affecting almost all of us .
Approach: They propose to use multiple supervised models and text representations to detect offensive language in three languages, including two Semitic languages.
Outcome: The proposed model can detect offensive content in two Semitic languages, including Hebrew and Arabic, and it is able to perform cross-lingual and multilingual learning.
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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