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publications
Question Answering in Natural Language: the Special Case of Temporal Expressions
Published in Student Research Workshop at RANLP, 2021
SQuAD-like approach to temporal Question Answering, with a curated datasets of 6000 examples and a LSTM-based model with an attention mechanism.
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Searching for Snippets of Open Domain Dialogue in Task-Oriented Dialogue Datasets
Published in Arxiv, 2022
Topic modeling analysis of Schema-Guided Dialogues and MultiWOZ, where we search for topics that are most similar to a set of social-talk-related keywords.
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Towards More Natural Dialogues: Integrating Open-Domain Dialogue Skills into Task-Oriented Agents.
Published in YRRSDS, workshop associated with SIGDial, 2023
Position paper on the intersection between chitchat and task-oriented dialogues (TODs), with a focus on integrating capabilities typically associated with chitchat systems into task-oriented agents.
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Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues
Published in Under Review, 2023
Novel chitchat augmentation for MultiWOZ using in-context learning with Llama-2-70B. A chatty user adds elements of backstory to their request, interfering with the smooth progression of the task.
A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
Published in Under Review, 2023
A unified approach to user emotion detection and TOD modeling. Tasks are learned with a single language modeling objective and lead to improved task success rates and more empathetic responses.
Enhancing Task-Oriented Dialogues With Chitchat: a Comparative Study Based on Lexical Diversity and Divergence
Published in ASRU, 2023
Comparative study based on entropy of recent Task-Oriented Dialogue datasets enhanced with chitchat.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Introduction to NLP
Class, INALCO, Department of Computational Linguistics, 2021
Intro to NLP for M1 students at INALCO (2021 - 2024)