Papers by Laura Rivière
Extending the gold standard for a lexical substitution task: is it worth it? (L18-1)
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| Challenge: | a lexical substitution task requires systems to identify words that are semantically close to the target and to select among candidates those that best fit the context. |
| Approach: | They propose to use a lexical substitution task to evaluate systems' performance . they use 300 sentences containing a target word and a second dataset based on the same data . |
| Outcome: | The proposed model is based on a set of 300 sentences containing a target word . the proposed model has not been evaluated to our knowledge . |
DISRPT: A Multilingual, Multi-domain, Cross-framework Benchmark for Discourse Processing (2024.lrec-main)
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Chloé Braud, Amir Zeldes, Laura Rivière, Yang Janet Liu, Philippe Muller, Damien Sileo, Tatsuya Aoyama
| Challenge: | DISRPT is a multilingual, multi-domain, and cross-framework benchmark dataset for discourse processing. |
| Approach: | They present a multilingual, multi-domain, and cross-framework benchmark dataset for discourse processing that includes 13 languages and 24 corpora covering about 4 millions tokens and around 250,000 discourse relation instances from 4 discourse frameworks. |
| Outcome: | The DISRPT dataset includes data from 24 corpora covering about 4 millions tokens and around 250,000 discourse relation instances from 4 discourse frameworks. |