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07/04/2023
Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities
Although we have witnessed impressive progress in Semantic Role Labeling...
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06/23/2023
Incorporating Graph Information in Transformer-based AMR Parsing
Abstract Meaning Representation (AMR) is a Semantic Parsing formalism th...
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06/19/2023
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
In this paper, we examine the current state-of-the-art in AMR parsing, w...
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06/16/2023
RED^ FM: a Filtered and Multilingual Relation Extraction Dataset
Relation Extraction (RE) is a task that identifies relationships between...
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06/07/2023
Echoes from Alexandria: A Large Resource for Multilingual Book Summarization
In recent years, research in text summarization has mainly focused on th...
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05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
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12/02/2022
Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures
One of the common traits of past and present approaches for Semantic Rol...
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10/23/2022
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation
We introduce EUREKA, an ensemble-based approach for performing automatic...
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10/12/2022
Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation
Entity disambiguation (ED) is the task of mapping an ambiguous entity me...
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10/11/2022
Entity Disambiguation with Entity Definitions
Local models have recently attained astounding performances in Entity Di...
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06/15/2022
AMR Alignment: Paying Attention to Cross-Attention
With the surge of Transformer models, many have investigated how attenti...
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03/04/2020
Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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05/12/2018
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
We release to the community six large-scale sense-annotated datasets in ...
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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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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
