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Found 18 papers, 8 papers with code
Multilingual Abstract Meaning Representation for Celtic Languages
Deep Semantic Parsing into Abstract Meaning Representation (AMR) graphs has reached a high quality with neural-based seq2seq approaches.
The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results
The NLP field has recently seen a substantial increase in work related to reproducibility of results, and more generally in recognition of the importance of having shared definitions and practices relating to evaluation.
A General Benchmarking Framework for Text Generation
The RDF-to-text task has recently gained substantial attention due to the continuous growth of RDF knowledge graphs in number and size.
The Human Evaluation Datasheet: A Template for Recording Details of Human Evaluation Experiments in NLP
This paper presents the Human Evaluation Datasheet (HEDS), a template for recording the details of individual human evaluation experiments in Natural Language Processing (NLP), and reports on first experience of researchers using HEDS sheets in practice.
ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG
Across NLP, a growing body of work is looking at the issue of reproducibility.
Knowledge Extraction From Texts Based on Wikidata
This paper presents an effort within our company of developing knowledge extraction pipeline for English, which can be further used for constructing an entreprise-specific knowledge base.
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)
WebNLG+ offers two challenges: (i) mapping sets of RDF triples to English or Russian text (generation) and (ii) converting English or Russian text to sets of RDF triples (semantic parsing).
The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP
This paper introduces the Human Evaluation Datasheet, a template for recording the details of individual human evaluation experiments in Natural Language Processing (NLP).
A Systematic Review of Reproducibility Research in Natural Language Processing
Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibility of its results.
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics.
Ranked #1 on
Extreme Summarization
on GEM-XSum
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
+5
LORIA / Lorraine University at Multilingual Surface Realisation 2019
This paper presents the LORIA / Lorraine University submission at the Multilingual Surface Realisation shared task 2019 for the shallow track.
Surface Realisation Using Full Delexicalisation
Surface realisation (SR) maps a meaning representation to a sentence and can be viewed as consisting of three subtasks: word ordering, morphological inflection and contraction generation (e. g., clitic attachment in Portuguese or elision in French).
Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing
In this paper, we propose an approach for semi-automatically creating a data-to-text (D2T) corpus for Russian that can be used to learn a D2T natural language generation model.
Handling Rare Items in Data-to-Text Generation
Neural approaches to data-to-text generation generally handle rare input items using either delexicalisation or a copy mechanism.
Ranked #5 on
KG-to-Text Generation
on WebNLG 2.0 (Constrained)
Human vs Automatic Metrics: on the Importance of Correlation Design
This paper discusses two existing approaches to the correlation analysis between automatic evaluation metrics and human scores in the area of natural language generation.
The WebNLG Challenge: Generating Text from RDF Data
The WebNLG challenge consists in mapping sets of RDF triples to text.
Split and Rephrase
We propose a new sentence simplification task (Split-and-Rephrase) where the aim is to split a complex sentence into a meaning preserving sequence of shorter sentences.
Creating Training Corpora for NLG Micro-Planners
In this paper, we present a novel framework for semi-automatically creating linguistically challenging micro-planning data-to-text corpora from existing Knowledge Bases.
