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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...
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07/04/2023
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
The automatic detection of hate speech online is an active research area...
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05/27/2023
A Practical Toolkit for Multilingual Question and Answer Generation
Generating questions along with associated answers from a text has appli...
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05/26/2023
An Empirical Comparison of LM-based Question and Answer Generation Methods
Question and answer generation (QAG) consists of generating a set of que...
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05/24/2023
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
Relations such as "is influenced by", "is known for" or "is a competitor...
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10/08/2022
Generative Language Models for Paragraph-Level Question Generation
Powerful generative models have led to recent progress in question gener...
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10/07/2022
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Recent progress in language model pre-training has led to important impr...
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09/20/2022
Twitter Topic Classification
Social media platforms host discussions about a wide variety of topics t...
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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...
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05/16/2022
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
The increase in performance in NLP due to the prevalence of distribution...
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02/08/2022
TimeLMs: Diachronic Language Models from Twitter
Despite its importance, the time variable has been largely neglected in ...
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02/01/2022
Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom
Social media has become extremely influential when it comes to policy ma...
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11/17/2021
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
Data augmentation techniques are widely used for enhancing the performan...
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08/06/2021
Deriving Disinformation Insights from Geolocalized Twitter Callouts
This paper demonstrates a two-stage method for deriving insights from so...
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05/26/2021
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Distributional semantics based on neural approaches is a cornerstone of ...
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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...
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04/25/2021
XLM-T: A Multilingual Language Model Toolkit for Twitter
Language models are ubiquitous in current NLP, and their multilingual ca...
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04/16/2021
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Term weighting schemes are widely used in Natural Language Processing an...
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12/04/2020
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
While the success of pre-trained language models has largely eliminated ...
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11/10/2020
Towards Preemptive Detection of Depression and Anxiety in Twitter
Depression and anxiety are psychiatric disorders that are observed in ma...
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10/27/2020
Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
The task of text and sentence classification is associated with the need...
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10/23/2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
The experimental landscape in natural language processing for social med...
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10/13/2020
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
The ability to correctly model distinct meanings of a word is crucial fo...
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08/26/2020
Language Models and Word Sense Disambiguation: An Overview and Analysis
Transformer-based language models have taken many fields in NLP by storm...
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04/30/2020
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
In this paper, we present WiC-TSV (Target Sense Verification for Words i...
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04/29/2020
Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation
State-of-the-art methods for Word Sense Disambiguation (WSD) combine two...
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12/03/2019
Modelling Semantic Categories using Conceptual Neighborhood
While many methods for learning vector space embeddings have been propos...
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11/28/2019
Inducing Relational Knowledge from BERT
One of the most remarkable properties of word embeddings is the fact tha...
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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...
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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...
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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...
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06/04/2019
Relational Word Embeddings
While word embeddings have been shown to implicitly encode various forms...
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05/17/2019
Learning Cross-lingual Embeddings from Twitter via Distant Supervision
Cross-lingual embeddings represent the meaning of words from different l...
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08/28/2018
WiC: 10,000 Example Pairs for Evaluating Context-Sensitive Representations
By design, word embeddings are unable to model the dynamic nature of wor...
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08/27/2018
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Cross-lingual word embeddings are becoming increasingly important in mul...
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07/02/2018
The Interplay between Lexical Resources and Natural Language Processing
Incorporating linguistic, world and common sense knowledge into AI/NLP s...
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05/10/2018
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Over the past years, distributed representations have proven effective a...
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02/13/2018
A Short Survey on Sense-Annotated Corpora for Diverse Languages and Resources
With the advancement of research in word sense disambiguation and deep l...
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10/18/2017
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Lexical ambiguity can impede NLP systems from accurate understanding of ...
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07/06/2017
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
In this paper we investigate the impact of simple text preprocessing dec...
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03/12/2017
Why we have switched from building full-fledged taxonomies to simply detecting hypernymy relations
The study of taxonomies and hypernymy relations has been extensive on th...
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12/08/2016
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Word embeddings are widely used in Natural Language Processing, mainly d...
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08/24/2016
A Large-Scale Multilingual Disambiguation of Glosses
Linking concepts and named entities to knowledge bases has become a cruc...
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08/02/2016