Papers by Francesca Bonin
Know Who Your Friends Are: Understanding Social Connections from Unstructured Text (N18-5)
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Léa Deleris, Francesca Bonin, Elizabeth Daly, Stéphane Deparis, Yufang Hou, Charles Jochim, Yassine Lassoued, Killian Levacher
| Challenge: | Having an understanding of interpersonal relationships is helpful in many contexts. |
| Approach: | They propose a system that extracts qualitative and quantitative information from texts and aggregates it to provide a condensed view of relationships. |
| Outcome: | The proposed system extracts qualitative and quantitative information elements about interactions and aggregates those to provide a condensed view of relationships. |
Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms (2022.emnlp-industry)
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| Challenge: | Existing methods to extract semantic associations from medical literature do not take into account the semantics of sentences from which entity co-occurrences are extracted. |
| Approach: | They propose a system for the automatic discovery of semantic associations between different entities such as diseases and their symptoms using a semantic network and a binary relation classification model trained with distant supervision. |
| Outcome: | The proposed system validates the extracted associations against a publicly available list of disease-symptom pairs against 14M PubMed abstracts. |
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction (P19-1)
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| Challenge: | Recent years have witnessed a significant increase in laboratory-based evaluation benchmarks in many scientific disciplines. |
| Approach: | They propose to use NLP datasets to extract task, dataset, metric and score from NLP papers to build automatic leaderboards. |
| Outcome: | The proposed model outperforms baselines in the NLP domain by a large margin. |
HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports (2020.lrec-1)
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Francesca Bonin, Martin Gleize, Ailbhe Finnerty, Candice Moore, Charles Jochim, Emma Norris, Yufang Hou, Alison J. Wright, Debasis Ganguly, Emily Hayes, Silje Zink, Alessandra Pascale, Pol Mac Aonghusa, Susan Michie
| Challenge: | Automated extraction of the reports’ intervention content, population, settings and their results is essential in synthesising and summarising the literature. |
| Approach: | They propose to build a corpus of published behaviour change intervention evaluation reports aimed at smoking cessation and to release an annotation dataset. |
| Outcome: | The proposed corpus and annotation dataset are being made available to the community. |
Decision Conversations Decoded (N18-5)
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| Challenge: | a system that tracks the decision process is aimed at group decision making facilitation . the system tracks the options being considered, why they are proposed, by whom and with whose support. |
| Approach: | They propose a system that tracks the decision process and organizes collective thoughts into a summary . the system is based on the scientific field of Decision Analysis . |
| Outcome: | The proposed system can help identify agreement and dissent or recommend an alternative based on this information. |
A Summarization System for Scientific Documents (D19-3)
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Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Francesca Bonin, David Konopnicki
| Challenge: | a qualitative user study identified the most valuable scenarios for scientific content consumption. |
| Approach: | They propose a system that retrieves and summarizes scientific documents for a given information need. |
| Outcome: | The proposed system ingested 270,000 scientific papers and validated with human experts. |
SLIDE - a Sentiment Lexicon of Common Idioms (L18-1)
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| Challenge: | Compositional solutions for phrase sentiment are not able to handle idioms because their sentiment is not derived from the sentiment of the individual words. |
| Approach: | They propose a crowdsourcing approach for collecting sentiment annotations of idiomatic expressions using crowdsourcing. |
| Outcome: | The proposed approach is able to capture sentiment strength and ambiguity in idiomatic expressions using crowdsourcing. |
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics (2021.eacl-main)
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| Challenge: | Recent efforts to extract tasks, datasets and evaluation metrics from scientific literature focus on abstracts only. |
| Approach: | They propose a corpus that contains domain expert annotations for Task (T), Dataset (D), Metric (M) entities extracted from NLP papers. |
| Outcome: | The proposed corpus contains domain expert annotations for Task (T), Dataset (D), Metric (M) entities extracted from NLP papers. |
Towards a music-language mapping (L18-1)
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| Challenge: | a novel research idea investigates the possibility of musical input to speech interaction systems. |
| Approach: | They propose a musical language processing idea that investigates the possibility of musical input to speech interaction systems. |
| Outcome: | The proposed method could be used to map musical pieces and dialogues based on frequency of musical patterns . the proposed method is universal among different languages and easy to learn for musicians . |