research
∙
08/07/2023
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
A fundamental challenge in the current NLP context, dominated by languag...
share
research
∙
08/06/2023
3D-EX : A Unified Dataset of Definitions and Dictionary Examples
Definitions are a fundamental building block in lexicography, linguistic...
research
∙
08/04/2023
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter
This paper introduces a large collection of time series data derived fro...
research
∙
10/06/2022
Modelling Commonsense Properties using Pre-Trained Bi-Encoders
Grasping the commonsense properties of everyday concepts is an important...
research
∙
09/15/2022
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media
Language evolves over time, and word meaning changes accordingly. This i...
research
∙
02/10/2022
Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction
In this paper, we analyze zero-shot taxonomy learning methods which are ...
research
∙
02/08/2022
TimeLMs: Diachronic Language Models from Twitter
Despite its importance, the time variable has been largely neglected in ...
research
∙
10/29/2021
Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press
This paper summarizes the main findings of the ADoBo 2021 shared task, p...
research
∙
08/06/2021
Deriving Disinformation Insights from Geolocalized Twitter Callouts
This paper demonstrates a two-stage method for deriving insights from so...
research
∙
06/15/2021
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
One of the long-standing challenges in lexical semantics consists in lea...
research
∙
06/14/2021
Probing Pre-Trained Language Models for Disease Knowledge
Pre-trained language models such as ClinicalBERT have achieved impressiv...
research
∙
05/11/2021
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
Analogies play a central role in human commonsense reasoning. The abilit...
research
∙
04/25/2021
XLM-T: A Multilingual Language Model Toolkit for Twitter
Language models are ubiquitous in current NLP, and their multilingual ca...
research
∙
12/04/2020
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
While the success of pre-trained language models has largely eliminated ...
research
∙
11/16/2020
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
In this paper, we introduce a new annotated dataset which is aimed at su...
research
∙
11/11/2020
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing
We present the results of the CAPITEL-EVAL shared task, held in the cont...
research
∙
11/10/2020
Towards Preemptive Detection of Depression and Anxiety in Twitter
Depression and anxiety are psychiatric disorders that are observed in ma...
research
∙
10/23/2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
The experimental landscape in natural language processing for social med...
research
∙
12/03/2019
Modelling Semantic Categories using Conceptual Neighborhood
While many methods for learning vector space embeddings have been propos...
research
∙
10/16/2019
Meemi: A Simple Method for Post-processing Cross-lingual Word Embeddings
Word embeddings have become a standard resource in the toolset of any Na...
research
∙
10/16/2019
Meemi: Finding the Middle Ground in Cross-lingual Word Embeddings
Word embeddings have become a standard resource in the toolset of any Na...
research
∙
08/21/2019
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning
Cross-lingual word embeddings are vector representations of words in dif...
research
∙
06/04/2019
Relational Word Embeddings
While word embeddings have been shown to implicitly encode various forms...
research
∙
05/17/2019
Learning Cross-lingual Embeddings from Twitter via Distant Supervision
Cross-lingual embeddings represent the meaning of words from different l...
research
∙
08/27/2018
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Cross-lingual word embeddings are becoming increasingly important in mul...
research
∙
08/18/2018
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
We present SeVeN (Semantic Vector Networks), a hybrid resource that enco...
research
∙
07/06/2018
Natural Language Processing for Music Knowledge Discovery
Today, a massive amount of musical knowledge is stored in written form, ...
research
∙
07/02/2018
The Interplay between Lexical Resources and Natural Language Processing
Incorporating linguistic, world and common sense knowledge into AI/NLP s...
research
∙
06/08/2016
