24 citations · 58 across the 9 of their papers we have counts for
10 papers
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation
Kalliopi Basioti, Mohamed A. Abdelsalam, Federico Fancellu +2
Controllable Image Captioning (CIC) aims at generating natural language descriptions for an image, conditioned on information provided by end users, e.g., regions, entities or even…
Revisiting text decomposition methods for NLI-based factuality scoring of summaries
John Glover, Federico Fancellu, Vasudevan Jagannathan +2
Scoring the factuality of a generated summary involves measuring the degree to which a target text contains factual information using the input document as support. Given the simil…
Visual Semantic Parsing: From Images to Abstract Meaning Representation
Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu +4
The success of scene graphs for visual scene understanding has brought attention to the benefits of abstracting a visual input (e.g., image) into a structured representation, where…
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars
Federico Fancellu, Sorcha Gilroy, Adam Lopez +1
Semantic parses are directed acyclic graphs (DAGs), so semantic parsing should be modeled as graph prediction. But predicting graphs presents difficult technical challenges, so it…
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing
Jingfeng Yang, Federico Fancellu, Bonnie Webber
The availability of corpora to train semantic parsers in English has lead to significant advances in the field. Unfortunately, for languages other than English, annotation is scarc…
Neural Networks for Cross-lingual Negation Scope Detection
Federico Fancellu, Adam Lopez, Bonnie Webber
Negation scope has been annotated in several English and Chinese corpora, and highly accurate models for this task in these languages have been learned from these annotations. Unfo…
Talking to myself: self-dialogues as data for conversational agents
Joachim Fainberg, Ben Krause, Mihai Dobre +5
Conversational agents are gaining popularity with the increasing ubiquity of smart devices. However, training agents in a data driven manner is challenging due to a lack of suitabl…
Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method
Yutong Shao, Rico Sennrich, Bonnie Webber +1
Idiom translation is a challenging problem in machine translation because the meaning of idioms is non-compositional, and a literal (word-by-word) translation is likely to be wrong…
Edina: Building an Open Domain Socialbot with Self-dialogues
Ben Krause, Marco Damonte, Mihai Dobre +6
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition. Edina is a conversational agent whose responses utilize data harvested from Amazo…
Universal Dependencies to Logical Forms with Negation Scope
Federico Fancellu, Siva Reddy, Adam Lopez +1
Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources. In this paper, we investigate t…