126 citations · 217 across the 12 of their papers we have counts for
12 papers · 1 filter
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos +5
Large Language Models (LLMs) are increasingly used in working environments for a wide range of tasks, excelling at solving individual problems in isolation. However, are they also…
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Xiaoyu Shen, Svitlana Vakulenko, Marco del Tredici +3
Dense retrieval (DR) approaches based on powerful pre-trained language models (PLMs) achieved significant advances and have become a key component for modern open-domain question-a…
From Rewriting to Remembering: Common Ground for Conversational QA Models
Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi +2
In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract releva…
Words are the Window to the Soul: Language-based User Representations for Fake News Detection
Marco Del Tredici, Raquel Fernández
Cognitive and social traits of individuals are reflected in language use. Moreover, individuals who are prone to spread fake news online often share common traits. Building on thes…
Analysing Lexical Semantic Change with Contextualised Word Representations
Mario Giulianelli, Marco Del Tredici, Raquel Fernández
This paper presents the first unsupervised approach to lexical semantic change that makes use of contextualised word representations. We propose a novel method that exploits the BE…
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde +1
Information about individuals can help to better understand what they say, particularly in social media where texts are short. Current approaches to modelling social media users pa…
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Dominik Schlechtweg, Anna Hätty, Marco del Tredici +1
We perform an interdisciplinary large-scale evaluation for detecting lexical semantic divergences in a diachronic and in a synchronic task: semantic sense changes across time, and…
Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis +1
Abuse on the Internet represents a significant societal problem of our time. Previous research on automated abusive language detection in Twitter has shown that community-based pro…
Author Profiling for Hate Speech Detection
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis +1
The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous re…
Short-Term Meaning Shift: A Distributional Exploration
Marco Del Tredici, Raquel Fernández, Gemma Boleda
We present the first exploration of meaning shift over short periods of time in online communities using distributional representations. We create a small annotated dataset and use…
Semantic Variation in Online Communities of Practice
Marco Del Tredici, Raquel Fernández
We introduce a framework for quantifying semantic variation of common words in Communities of Practice and in sets of topic-related communities. We show that while some meaning shi…
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
Marco Del Tredici, Raquel Fernández
We investigate the birth and diffusion of lexical innovations in a large dataset of online social communities. We build on sociolinguistic theories and focus on the relation betwee…