no code implementations • EMNLP (BlackboxNLP) 2021 • Federico Fancellu, Lan Xiao, Allan Jepson, Afsaneh Fazly
We address this gap for two structure generation tasks, namely dependency and semantic parsing.
1 code implementation • EMNLP 2021 • Jingfeng Yang, Federico Fancellu, Bonnie Webber, Diyi Yang
The availability of corpora has led to significant advances in training semantic parsers in English.
no code implementations • 30 Nov 2022 • John Glover, Federico Fancellu, Vasudevan Jagannathan, Matthew R. Gormley, Thomas Schaaf
In this paper we systematically compare different granularities of decomposition -- from document to sub-sentence level, and we show that the answer is no.
no code implementations • 26 Oct 2022 • Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat J. Bhatt, Vladimir Pavlovic, Afsaneh Fazly
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 entities (people and objects) are nodes connected by edges specifying their relations.
no code implementations • EACL 2021 • {\'A}kos K{\'a}d{\'a}r, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan Jepson, Afsaneh Fazly
We do so by casting dependency parsing as a tree embedding problem where we incorporate geometric properties of dependency trees in the form of training losses within a graph-based parser.
no code implementations • COLING 2020 • Leila Pishdad, Federico Fancellu, Ran Zhang, Afsaneh Fazly
Despite the recent advances in coherence modelling, most such models including state-of-the-art neural ones, are evaluated on either contrived proxy tasks such as the standard order discrimination benchmark, or tasks that require special expert annotation.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Federico Fancellu, {\'A}kos K{\'a}d{\'a}r, Ran Zhang, Afsaneh Fazly
We significantly improve upon this work, by proposing a simpler architecture as well as more efficient training and inference algorithms that can always guarantee the well-formedness of the generated graphs.
no code implementations • IJCNLP 2019 • Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata
Semantic parses are directed acyclic graphs (DAGs), so semantic parsing should be modeled as graph prediction.
Ranked #5 on DRS Parsing on PMB-2.2.0
no code implementations • 27 Aug 2019 • Jingfeng Yang, Federico Fancellu, Bonnie Webber
The availability of corpora to train semantic parsers in English has lead to significant advances in the field.
no code implementations • 4 Oct 2018 • 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.
1 code implementation • 18 Sep 2018 • Joachim Fainberg, Ben Krause, Mihai Dobre, Marco Damonte, Emmanuel Kahembwe, Daniel Duma, Bonnie Webber, Federico Fancellu
Conversational agents are gaining popularity with the increasing ubiquity of smart devices.
no code implementations • LREC 2018 • Yutong Shao, Rico Sennrich, Bonnie Webber, Federico Fancellu
Our evaluation confirms that a sizable number of idioms in our test set are mistranslated (46. 1%), that literal translation error is a common error type, and that our blacklist method is effective at identifying literal translation errors.
no code implementations • 28 Sep 2017 • Ben Krause, Marco Damonte, Mihai Dobre, Daniel Duma, Joachim Fainberg, Federico Fancellu, Emmanuel Kahembwe, Jianpeng Cheng, Bonnie Webber
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition.
no code implementations • WS 2017 • Federico Fancellu, Siva Reddy, Adam Lopez, Bonnie Webber
Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources.
no code implementations • WS 2017 • Hangfeng He, Federico Fancellu, Bonnie Webber
In particular, the use of a character-based model allows us to capture characteristics of negation cues in Chinese using word-embedding information only.
no code implementations • EACL 2017 • Federico Fancellu, Adam Lopez, Bonnie Webber, Hangfeng He
Several corpora have been annotated with negation scope{---}the set of words whose meaning is negated by a cue like the word {``}not{''}{---}leading to the development of classifiers that detect negation scope with high accuracy.
1 code implementation • 10 Feb 2017 • Federico Fancellu, Siva Reddy, Adam Lopez, Bonnie Webber
Many language technology applications would benefit from the ability to represent negation and its scope on top of widely-used linguistic resources.