activity
20182024
most citedShow Us the Way: Learning to Manage Dialog from Demonstrations

11 citations · 11 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL2024

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming

Tommaso Pasini, Alejo López-Ávila, Husam Quteineh +5

Composing poetry or lyrics involves several creative factors, but a challenging aspect of generation is the adherence to a more or less strict metric and rhyming pattern. To addres…

cs.CL2022

Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU

Fenia Christopoulou, Gerasimos Lampouras, Ignacio Iacobacci

Curriculum Learning (CL) is a technique of training models via ranking examples in a typically increasing difficulty trend with the aim of accelerating convergence and improving ge…

cs.CL2021

Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation

Giulio Zhou, Gerasimos Lampouras

Concept-to-text Natural Language Generation is the task of expressing an input meaning representation in natural language. Previous approaches in this task have been able to genera…

cs.CL2020

Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management

Milan Gritta, Gerasimos Lampouras, Ignacio Iacobacci

Task-oriented dialogue systems typically rely on large amounts of high-quality training data or require complex handcrafted rules. However, existing datasets are often limited in s…

cs.CL202011 cited

Show Us the Way: Learning to Manage Dialog from Demonstrations

Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras +1

We present our submission to the End-to-End Multi-Domain Dialog Challenge Track of the Eighth Dialog System Technology Challenge. Our proposed dialog system adopts a pipeline archi…

cs.CL2018

Generating Texts with Integer Linear Programming

Gerasimos Lampouras, Ion Androutsopoulos

Concept-to-text generation typically employs a pipeline architecture, which often leads to suboptimal texts. Content selection, for example, may greedily select the most important…