CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing

no code implementations • 13 Oct 2022 • Andy Rosenbaum, Saleh Soltan, Wael Hamza, Amir Saffari, Marco Damonte, Isabel Groves

A bottleneck to developing Semantic Parsing (SP) models is the need for a large volume of human-labeled training data.

Data Augmentation Semantic Parsing

One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Marco Damonte, Emilio Monti

The lack of a single standard for meaning representations led to the creation of a plethora of semantic parsing datasets.

Multi-Task Learning Semantic Parsing

The Role of Reentrancies in Abstract Meaning Representation Parsing

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Ida Szubert, Marco Damonte, Shay B. Cohen, Mark Steedman

Abstract Meaning Representation (AMR) parsing aims at converting sentences into AMR representations.

AMR Parsing

Structural Neural Encoders for AMR-to-text Generation

2 code implementations • NAACL 2019 • Marco Damonte, Shay B. Cohen

AMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs.

AMR-to-Text Generation Graph-to-Sequence +1

Practical Semantic Parsing for Spoken Language Understanding

no code implementations • NAACL 2019 • Marco Damonte, Rahul Goel, Tagyoung Chung

Executable semantic parsing is the task of converting natural language utterances into logical forms that can be directly used as queries to get a response.

Multi-Task Learning Question Answering +2

Talking to myself: self-dialogues as data for conversational agents

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.

Abstract Meaning Representation for Paraphrase Detection

no code implementations • NAACL 2018 • Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang

Abstract Meaning Representation (AMR) parsing aims at abstracting away from the syntactic realization of a sentence, and denote only its meaning in a canonical form.

AMR Parsing Sentence

Edina: Building an Open Domain Socialbot with Self-dialogues

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.

Cross-lingual Abstract Meaning Representation Parsing

1 code implementation • NAACL 2018 • Marco Damonte, Shay B. Cohen

Abstract Meaning Representation (AMR) annotation efforts have mostly focused on English.

The SUMMA Platform Prototype

no code implementations • EACL 2017 • Renars Liepins, Ulrich Germann, Guntis Barzdins, Alex Birch, ra, Steve Renals, Susanne Weber, Peggy van der Kreeft, Herv{\'e} Bourlard, Jo{\~a}o Prieto, Ond{\v{r}}ej Klejch, Peter Bell, Alex Lazaridis, ros, Alfonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed Ali, Mir, Sebasti{\~a}o a, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell

We present the first prototype of the SUMMA Platform: an integrated platform for multilingual media monitoring.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

An Incremental Parser for Abstract Meaning Representation

4 code implementations • EACL 2017 • Marco Damonte, Shay B. Cohen, Giorgio Satta

We describe a transition-based parser for AMR that parses sentences left-to-right, in linear time.

AMR Parsing Named Entity Recognition +3