Papers by Valia Kordoni
A corpus of metaphors as register markers (2023.findings-eacl)
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| Challenge: | Using corpus annotation, we show huge differences in metaphor usage between different registers and specific properties of registers. |
| Approach: | They present their work on corpus annotation for metaphor in germany . they focus on metaphors that can serve as register markers and be reliably indentified . |
| Outcome: | The proposed corpus annotations show huge differences in metaphor usage between different registers and specific properties of registers. |
Beyond Multiword Expressions: Processing Idioms and Metaphors (P18-5)
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| Challenge: | idioms and metaphors processing is a rapidly growing area in NLP, says dr. s. robertson . idiomatic idiomas are characteristic to all areas of human activity and to all types of discourse. |
| Approach: | This tutorial will provide attendees with a clear notion of idioms and metaphors . it will provide them with computational models of linguistic characteristics and methods . |
| Outcome: | This tutorial aims to provide attendees with a clear notion of the linguistic characteristics of idioms and metaphors . it outlines how to model idiomatic idiomes and their processing and what resources are available to support their use . |
Improving Machine Translation of Educational Content via Crowdsourcing (L18-1)
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Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanen, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis
| Challenge: | Using crowdsourcing to train neural machine translation models is expensive and expensive . professional outsourcing of bilingual data is expensive if the translations are of a lower quality . |
| Approach: | They analyze the impact of crowdsourcing on the quality of in-domain training data . they use translations of MOOCs from English to eleven languages to fine-tune machine translation models . |
| Outcome: | The proposed method improves on general-domain training data and with pre-existing in-domain corpora. |
Metaphor annotation for German (2022.lrec-1)
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| Challenge: | a corpus annotated for metaphors denotes entities or situations that are in some sense similar to the literal referent, but we believe it is of interest to research on metaphor in general. |
| Approach: | They present a German corpus annotated for metaphor in a project on register and propose to broaden the annotation to include metonymy. |
| Outcome: | The proposed corpus is compiled and annotated in a project on the interdependence of metaphors and register. |
Translation Crowdsourcing: Creating a Multilingual Corpus of Online Educational Content (L18-1)
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Vilelmini Sosoni, Katia Lida Kermanidis, Maria Stasimioti, Thanasis Naskos, Eirini Takoulidou, Menno van Zaanen, Sheila Castilho, Panayota Georgakopoulou, Valia Kordoni, Markus Egg
| Challenge: | a large corpus of online content has been developed via large-scale crowdsourcing. |
| Approach: | They describe a multilingual corpus of online content that has been manually translated into 11 European and BRIC languages using the crowdsourcing platform. |
| Outcome: | The proposed corpus is a product of the EU-funded TraMOOC project and is used to train, tune and test machine translation engines. |
A Multilingual Wikified Data Set of Educational Material (L18-1)
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Iris Hendrickx, Eirini Takoulidou, Thanasis Naskos, Katia Lida Kermanidis, Vilelmini Sosoni, Hugo de Vos, Maria Stasimioti, Menno van Zaanen, Panayota Georgakopoulou, Valia Kordoni, Maja Popovic, Markus Egg, Antal van den Bosch
| Challenge: | a crowdsourcing effort to annotate and link parallel texts has been unsuccessful . a data set of parallel texts in eleven languages is presented . |
| Approach: | They present a wikified data set of English sentences linked to Wikipedia pages . they use crowdsourcing to annotate the texts and perform crowdsourcing for complex annotations . |
| Outcome: | The proposed data set is valuable as it constitutes a rich resource . it includes annotated data of English sentences linked to translations in eleven languages . |
A Gentle Introduction to Deep Nets and Opportunities for the Future (2022.acl-tutorials)
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| Challenge: | a tutorial on deep nets will introduce a new language for fine tuning deep net programs . the tutorial will be divided into two parts: Part A will make deep net programming accessible to a broader audience . |
| Approach: | This tutorial introduces a new language for fine tuning deep nets with short (1-line) programs that are as easy to code as regression in statistics packages such as R. |
| Outcome: | This tutorial will introduce gft (general fine tuning), a new language for deep nets . glm is a "little language" similar to gslm in statistics package R . |