129 citations · 276 across the 19 of their papers we have counts for
7 papers · 2 filters
Byte-Pair Encoding for Text-to-SQL Generation
Samuel Müller, Andreas Vlachos
Neural sequence-to-sequence models provide a competitive approach to the task of mapping a question in natural language to an SQL query, also referred to as text-to-SQL generation.…
Neural Generative Rhetorical Structure Parsing
Amandla Mabona, Laura Rimell, Stephen Clark +1
Rhetorical structure trees have been shown to be useful for several document-level tasks including summarization and document classification. Previous approaches to RST parsing hav…
Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher, Andreas Vlachos
Named entity recognition (NER) is one of the best studied tasks in natural language processing. However, most approaches are not capable of handling nested structures which are com…
HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy, Shashi Narayan, Andreas Vlachos
There has been substantial progress in summarization research enabled by the availability of novel, often large-scale, datasets and recent advances on neural network-based approach…
Strong Baselines for Complex Word Identification across Multiple Languages
Pierre Finnimore, Elisabeth Fritzsch, Daniel King +4
Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task relea…
Automated Fact Checking in the News Room
Sebastião Miranda, David Nogueira, Afonso Mendes +5
Fact checking is an essential task in journalism; its importance has been highlighted due to recently increased concerns and efforts in combating misinformation. In this paper, we…
Adversarial attacks against Fact Extraction and VERification
James Thorne, Andreas Vlachos
This paper describes a baseline for the second iteration of the Fact Extraction and VERification shared task (FEVER2.0) which explores the resilience of systems through adversarial…