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1
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
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2
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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3
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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4
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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5
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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6
SemEval-2020 Task 3: Graded Word Similarity in Context ...
Abstract: We would like to present the Graded Word Similarity in Context (GWSC) task which asked participants to predict the effects of context on human perception of similarity in English, Croatian, Slovene and Finnish. We received 15 submissions and 11 system description papers. A new dataset (CoSimLex) was created for evaluation in this task: it contains pairs of words, each annotated within two short text passages. Systems beat the baselines by significant margins, but few did well in more than one language or subtask. Almost every system employed a Transformer model, but with many variations in the details: WordNet sense embeddings, translation of contexts, TF-IDF weightings, and the automatic creation of datasets for fine-tuning were all used to good effect. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6404-semeval-2020-task-3-graded-word-similarity-in-context
https://dx.doi.org/10.48448/6gtz-3v30
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7
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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8
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
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9
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ...
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10
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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