Search Results for author:
Found 18 papers, 4 papers with code
semiPQA: A Study on Product Question Answering over Semi-structured Data
To fill in this blank, here we study how to effectively incorporate semi-structured answer sources for PQA and focus on presenting answers in a natural, fluent sentence.
Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices
In this paper, we build a benchmark with annotations for both evidence selection and answer generation covering 6 information sources.
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
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-answering systems.
From Rewriting to Remembering: Common Ground for Conversational QA Models
In conversational QA, models have to leverage information in previous turns to answer upcoming questions.
Words are the Window to the Soul: Language-based User Representations for Fake News Detection
Cognitive and social traits of individuals are reflected in language use.
Analysing Lexical Semantic Change with Contextualised Word Representations
This paper presents the first unsupervised approach to lexical semantic change that makes use of contextualised word representations.
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
Information about individuals can help to better understand what they say, particularly in social media where texts are short.
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
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 semantic sense changes across domains.
Abusive Language Detection with Graph Convolutional Networks
Abuse on the Internet represents a significant societal problem of our time.
Author Profiling for Hate Speech Detection
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.
Short-Term Meaning Shift: A Distributional Exploration
We present the first exploration of meaning shift over short periods of time in online communities using distributional representations.
Author Profiling for Abuse Detection
The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet.
Semantic Variation in Online Communities of Practice
We introduce a framework for quantifying semantic variation of common words in Communities of Practice and in sets of topic-related communities.
The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities
We investigate the birth and diffusion of lexical innovations in a large dataset of online social communities.
Tracing metaphors in time through self-distance in vector spaces
From a diachronic corpus of Italian, we build consecutive vector spaces in time and use them to compare a term's cosine similarity to itself in different time spans.
Assessing the Potential of Metaphoricity of verbs using corpus data
The work moves from the observation that while some verbs can be used to create highly metaphoric expressions, others can not.
A Modular System for Rule-based Text Categorisation
We introduce a modular rule-based approach to text categorisation which is more flexible and less time consuming to build than a standard rule-based system because it works with a hierarchical structure and allows for re-usability of rules.
