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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 and Information Retrieval. In particular, term weighting is the …
Asahi Ushio, Federico Liberatore, Jose Camacho-Collados
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Distilling Relation Embeddings from Pretrained Language Models
Pre-trained language models have been found to capture a surprisingly rich amount of lexical knowledge, ranging from commonsense …
Asahi Ushio, Jose Camacho-Collados, Steven Schockaert
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On the Cross-lingual Transferability of Contextualized Sense Embeddings
In this paper we analyze the extent to which contextualized sense embeddings, i.e., sense embeddings that are computed based on …
Kiamehr Rezaee, Daniel Loureiro, Jose Camacho-Collados, Mohammad Taher Pilehvar
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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 ability to recognize analogies such as {``}eye is to seeing what ear …
Asahi Ushio, Luis Espinosa-Anke, Steven Schockaert, Jose Camacho-Collados
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COVID-19 and Misinformation: A Large-Scale Lexical Analysis on Twitter
Social media is often used by individuals and organisations as a platform to spread misinformation. With the recent coronavirus …
Dimosthenis Antypas, Jose Camacho-Collados, Alun Preece, David Rogers
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Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
One of the long-standing challenges in lexical semantics consists in learning representations of words which reflect their semantic …
Yixiao Wang, Zied Bouraoui, Luis Espinosa-Anke, Steven Schockaert
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Probing Pre-Trained Language Models for Disease Knowledge
Pre-trained language models such as ClinicalBERT have achieved impressive results on tasks such as medical Natural Language Inference. …
Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert
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Evaluating Language Models for the Retrieval and Categorization of Lexical Collocations
Lexical collocations are idiosyncratic combinations of two syntactically bound lexical items (e.g., ‘‘heavy …
Luis Espinosa-Anke, Joan Codina-Filba, Leo Wanner
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T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Language model (LM) pretraining has led to consistent improvements in many NLP downstream tasks, including named entity recognition …
Asahi Ushio, Jose Camacho-Collados
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WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
We present WiC-TSV, a new multi-domain evaluation benchmark for Word Sense Disambiguation. More specifically, we introduce a framework …
Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados
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