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08/12/2023
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector
This work presents our efforts to reproduce the results of the human eva...
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08/12/2023
Three Ways of Using Large Language Models to Evaluate Chat
This paper describes the systems submitted by team6 for ChatEval, the DS...
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08/01/2023
Tackling Hallucinations in Neural Chart Summarization
Hallucinations in text generation occur when the system produces text th...
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04/13/2023
Are LLMs All You Need for Task-Oriented Dialogue?
Instructions-tuned Large Language Models (LLMs) gained recently huge pop...
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02/27/2023
TabGenie: A Toolkit for Table-to-Text Generation
Heterogenity of data-to-text generation datasets limits the research on ...
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01/17/2023
MooseNet: A trainable metric for synthesized speech with plda backend
We present MooseNet, a trainable speech metric that predicts listeners' ...
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10/13/2022
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models
Pretrained language models (PLMs) for data-to-text (D2T) generation can ...
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09/22/2022
Learning Interpretable Latent Dialogue Actions With Less Supervision
We present a novel architecture for explainable modeling of task-oriente...
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09/08/2022
AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
We introduce AARGH, an end-to-end task-oriented dialog system combining ...
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06/16/2022
DialogueScript: Using Dialogue Agents to Produce a Script
We present a novel approach to generating scripts by using agents with d...
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03/30/2022
Neural Pipeline for Zero-Shot Data-to-Text Generation
In data-to-text (D2T) generation, training on in-domain data leads to ov...
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09/22/2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
One of the most challenging aspects of current single-document news summ...
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08/02/2021
Underreporting of errors in NLG output, and what to do about it
We observe a severe under-reporting of the different kinds of errors tha...
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06/10/2021
AGGGEN: Ordering and Aggregating while Generating
We present AGGGEN (pronounced 'again'), a data-to-text model which re-in...
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06/10/2021
Shades of BLEU, Flavours of Success: The Case of MultiWOZ
The MultiWOZ dataset (Budzianowski et al.,2018) is frequently used for b...
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02/17/2021
THEaiTRE 1.0: Interactive generation of theatre play scripts
We present the first version of a system for interactive generation of t...
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02/09/2021
AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation
Attention-based pre-trained language models such as GPT-2 brought consid...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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11/21/2020
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
A major challenge in evaluating data-to-text (D2T) generation is measuri...
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11/03/2020
Data-to-Text Generation with Iterative Text Editing
We present a novel approach to data-to-text generation based on iterativ...
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08/09/2020
SpeedySpeech: Efficient Neural Speech Synthesis
While recent neural sequence-to-sequence models have greatly improved th...
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08/03/2020
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
We introduce an approach to multilingual speech synthesis which uses the...
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06/25/2020
THEaiTRE: Artificial Intelligence to Write a Theatre Play
We present THEaiTRE, a starting project aimed at automatic generation of...
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11/10/2019
Semantic Noise Matters for Neural Natural Language Generation
Neural natural language generation (NNLG) systems are known for their pa...
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10/11/2019
Neural Generation for Czech: Data and Baselines
We present the first dataset targeted at end-to-end NLG in Czech in the ...
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10/10/2019
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
We present a recurrent neural network based system for automatic quality...
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09/06/2019
User Evaluation of a Multi-dimensional Statistical Dialogue System
We present the first complete spoken dialogue system driven by a multi-d...
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01/23/2019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
This paper provides a detailed summary of the first shared task on End-t...
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11/02/2018
Neural Response Ranking for Social Conversation: A Data-Efficient Approach
The overall objective of 'social' dialogue systems is to support engagin...
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10/20/2018
Improving Context Modelling in Multimodal Dialogue Generation
In this work, we investigate the task of textual response generation in ...
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10/20/2018
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Multimodal search-based dialogue is a challenging new task: It extends v...
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10/02/2018
Findings of the E2E NLG Challenge
This paper summarises the experimental setup and results of the first sh...
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09/18/2018
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity
We present three enhancements to existing encoder-decoder models for ope...
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03/15/2018
RankME: Reliable Human Ratings for Natural Language Generation
Human evaluation for natural language generation (NLG) often suffers fro...
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12/20/2017
An Ensemble Model with Ranking for Social Dialogue
Open-domain social dialogue is one of the long-standing goals of Artific...
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08/05/2017
Referenceless Quality Estimation for Natural Language Generation
Traditional automatic evaluation measures for natural language generatio...
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07/21/2017
Why We Need New Evaluation Metrics for NLG
The majority of NLG evaluation relies on automatic metrics, such as BLEU...
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06/28/2017
Data-driven Natural Language Generation: Paving the Road to Success
We argue that there are currently two major bottlenecks to the commercia...
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06/28/2017
The E2E Dataset: New Challenges For End-to-End Generation
This paper describes the E2E data, a new dataset for training end-to-end...
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08/25/2016
A Context-aware Natural Language Generator for Dialogue Systems
We present a novel natural language generation system for spoken dialogu...
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06/17/2016