| Challenge: | a new interface for word translation is proposed to explore the semantic configurations of words in multiple languages at once. |
| Approach: | They propose a web interface for word translation that points to the semantic configurations of many words in multiple languages at once. |
| Outcome: | The proposed interface is available as a web application on seven language pairs . it points to the semantic configurations of many words in multiple languages at once . |
Similar Papers
Lexical Resource Mapping via Translations (2022.lrec-1)
Copied to clipboard
| Challenge: | a lexical resource associates words with concepts in multiple languages, which makes it difficult to combine information from multiple resources. |
| Approach: | They propose a translation-based approach to mapping lexical resources . they use word-concept pairs to align WordNet/BabelNet to CLICS and OmegaWiki . |
| Outcome: | The proposed method achieves state-of-the-art accuracy without other sources of knowledge . it can be framed as word sense disambiguation, and it can improve on existing methods . |
word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs (2020.lrec-1)
Copied to clipboard
| Challenge: | Our dataset provides top-k word translations in 3,564 (directed) language pairs across 62 languages in OpenSubtitles2018. |
| Approach: | They propose a dataset and an open-source Python package for cross-lingual word translations extracted from sentence-level parallel corpora. |
| Outcome: | The proposed bilingual lexicons have high coverage and achieve competitive translation quality for several language pairs. |
Some Issues with Building a Multilingual Wordnet (2020.lrec-1)
Copied to clipboard
| Challenge: | Notable extensions include: confidence, corpus frequency, orthographic variants, lexicalized and non-lexicalised synsets and lemmas, new parts of speech, and more. |
| Approach: | They propose to integrate a new open multilingual wordnet format that tests the extensions introduced by the new format and integrates a set of tools to ensure the integrity of the Collaborative Interlingual Index. |
| Outcome: | The proposed format integrates a set of tools that test the extensions while ensuring the integrity of the Collaborative Interlingual Index (CILI). |
Frame Semantics across Languages: Towards a Multilingual FrameNet (C18-3)
Copied to clipboard
| Challenge: | This workshop will present current research on aligning Frame Semantic resources across languages . resources based on FrameNet have been created for roughly a dozen languages based upon Fillmore's Frame Sementics . |
| Approach: | This workshop will present current research on aligning Frame Semantic resources across languages . resources based on FrameNet have been created for roughly a dozen languages based upon Fillmore's Frame Sementics . |
| Outcome: | This workshop will present current research on aligning Frame Semantic resources across languages and automatic frame semantic parsing in English and other languages. |
KIT-Multi: A Translation-Oriented Multilingual Embedding Corpus (L18-1)
Copied to clipboard
| Challenge: | Cross-lingual word embeddings are representations of words across languages in a shared continuous vector space. |
| Approach: | They propose a multilingual word embedding corpus which is acquired by neural machine translation and is based on monolingual data. |
| Outcome: | The proposed method is competitive with existing methods but on the cross-lingual document classification task, it obtains the best figures. |
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)
Copied to clipboard
| Challenge: | a recent advent of pretrained language models has sparked a revolution in NLP . but, there are still questions about whether current approaches capture explicit, symbolic meaning . this tutorial will review efforts to tackle three key open problems in lexical and sentence-level semantics . |
| Approach: | This tutorial reviews recent efforts to shed light on meaning in NLP . it will focus on three key open problems in lexical and sentence-level semantics . |
| Outcome: | This tutorial reviews recent efforts to shed light on meaning in NLP . it focuses on three key open problems in lexical and sentence-level semantics . |
Multilingualization of Medical Terminology: Semantic and Structural Embedding Approaches (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing methods for multilingual terminology curation are limited as they do not fit the term within existing terminology. |
| Approach: | They propose a method to encode the structural property of a term by aligning embeddings using graph convolutional networks trained from separate languages. |
| Outcome: | The proposed method can encode the structural property of a term by aligning embeddings using graph convolutional networks trained from separate languages. |
MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations (2024.lrec-main)
Copied to clipboard
Dagmar Gromann, Hugo Goncalo Oliveira, Lucia Pitarch, Elena-Simona Apostol, Jordi Bernad, Eliot Bytyçi, Chiara Cantone, Sara Carvalho, Francesca Frontini, Radovan Garabik, Jorge Gracia, Letizia Granata, Fahad Khan, Timotej Knez, Penny Labropoulou, Chaya Liebeskind, Maria Pia Di Buono, Ana Ostroški Anić, Sigita Rackevičienė, Ricardo Rodrigues, Gilles Sérasset, Linas Selmistraitis, Mahammadou Sidibé, Purificação Silvano, Blerina Spahiu, Enriketa Sogutlu, Ranka Stanković, Ciprian-Octavian Truică, Giedre Valunaite Oleskeviciene, Slavko Zitnik, Katerina Zdravkova
| 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. |
Transfer of Frames from English FrameNet to Construct Chinese FrameNet: A Bilingual Corpus-Based Approach (L18-1)
Copied to clipboard
| Challenge: | Current publicly available Chinese FrameNet has a relatively low coverage of frames and lexical units compared with other languages. |
| Approach: | They propose an automatic way to construct Chinese FrameNet using a sentence-aligned English-Chinese bilingual corpus. |
| Outcome: | The proposed resource can provide frame recommendations acceptable by annotators. |
Adapting Entities across Languages and Cultures (2021.findings-emnlp)
Copied to clipboard
| Challenge: | a structured knowledge base adapts named entities using their shared properties. |
| Approach: | They propose automatic methods to adapt named entities using shared properties . they compare them to human adaptations using a new dataset of human adaptation data . |
| Outcome: | The proposed methods compare to human adaptations using a new dataset. |