Papers by Nicolas Hernandez

7 papers
A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study (2020.lrec-1)

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Challenge: a corpus of spontaneous speech is being developed for educational use . the dataset will be freely available to the research community .
Approach: They propose to use a French speech educational corpus to explore synchronous speech transcription and application in teaching situations.
Outcome: The proposed corpus includes 10 hours of lectures, manually transcribed and segmented . the dataset will be freely available to the research community .
CASIMIR: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions (2024.lrec-main)

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Challenge: CASIMIR dataset contains multiple revisions of 15,646 scientific articles . authors question the relevance of current evaluation methods for text revision .
Approach: They propose a textual resource on the revision step of the writing process of scientific articles.
Outcome: The proposed dataset contains the multiple revised versions of 15,646 scientific articles from OpenReview, along with their peer reviews.
Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling (2026.eacl-long)

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Challenge: Hierarchical models capture local dependencies but lack global, corpus-level representations.
Approach: They propose two prototype-based methods that integrate local context with global representations to address this limitation.
Outcome: The proposed methods integrate local context with global representations.
Identifying Reliable Evaluation Metrics for Scientific Text Revision (2025.acl-long)

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Challenge: Effective revision is a critical step in scientific writing, ensuring clarity, coherence, and adherence to academic standards.
Approach: They propose to use ROUGE and BERTScore to assess revision quality . they also examine LLM-as-a-judge approaches to assess instruction-following revisions .
Outcome: The proposed method improves the accuracy of revision tasks with and without a gold reference.
PyRATA, Python Rule-based feAture sTructure Analysis (L18-1)

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Challenge: a new Python module supports rules-based analysis on structured data . the module is available under the Apache V2 license .
Approach: They propose a Python module which supports rules-based analysis on structured data.
Outcome: The proposed module supports rules-based analysis on structured data.
Improving Accessibility of SCOTUS Opinions: A Benchmark Study and a New Dataset for Generic Heading Prediction and Specific Heading Generation (2025.coling-main)

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Challenge: SCOTUS opinions are notoriously long and use specialised language, making them laborious to read and understand.
Approach: They propose generic and specific headings for each section to be trained automatically . they compare the performance of different systems trained for each subtask .
Outcome: The proposed system can achieve a score of 0.90% in predicting generic headings . the proposed system also achieves similar scores in generating specific headings.
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks (L18-1)

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Challenge: Community Question Answering websites are becoming popular and useful source of information for users.
Approach: They propose to use community question answering forum to detect similar questions . they use question-answering similarity task to provide correct answers .
Outcome: The proposed framework provides the first framework on the evaluation of similar questions and question-answering detection on a multi-domain corpora.

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