How to Encode Domain Information in Relation Classification

no code implementations • 21 Apr 2024 • Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen, Gustav Kristensen, Marie Haahr Petersen, Rob van der Goot, Barbara Plank

Current language models require a lot of training data to obtain high performance.

Classification Relation +1

Can Humans Identify Domains?

1 code implementation • 2 Apr 2024 • Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot

Textual domain is a crucial property within the Natural Language Processing (NLP) community due to its effects on downstream model performance.

Sentence

Silver Syntax Pre-training for Cross-Domain Relation Extraction

1 code implementation • 18 May 2023 • Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank

One of the main reasons for this is the limited training size of current RE datasets: obtaining high-quality (manually annotated) data is extremely expensive and cannot realistically be repeated for each new domain.

Relation Relation Extraction

Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction

1 code implementation • 18 May 2023 • Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank

Most research in Relation Extraction (RE) involves the English language, mainly due to the lack of multi-lingual resources.

Relation Relation Extraction +1

Evidence > Intuition: Transferability Estimation for Encoder Selection

1 code implementation • 20 Oct 2022 • Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank

With the increase in availability of large pre-trained language models (LMs) in Natural Language Processing (NLP), it becomes critical to assess their fit for a specific target task a priori - as fine-tuning the entire space of available LMs is computationally prohibitive and unsustainable.

Structured Prediction

CrossRE: A Cross-Domain Dataset for Relation Extraction

1 code implementation • 17 Oct 2022 • Elisa Bassignana, Barbara Plank

Relation Extraction (RE) has attracted increasing attention, but current RE evaluation is limited to in-domain evaluation setups.

Relation Relation Classification

What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

1 code implementation • ACL 2022 • Elisa Bassignana, Barbara Plank

Over the last five years, research on Relation Extraction (RE) witnessed extensive progress with many new dataset releases.

Classification Relation +1

Experimental Standards for Deep Learning in Natural Language Processing Research

1 code implementation • 13 Apr 2022 • Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank

The field of Deep Learning (DL) has undergone explosive growth during the last decade, with a substantial impact on Natural Language Processing (NLP) as well.

Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian

1 code implementation • 11 Nov 2020 • Elisa Bassignana, Malvina Nissim, Viviana Patti

We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different genre compared to previously available resources.

Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality

1 code implementation • COLING (PEOPLES) 2020 • Elisa Bassignana, Malvina Nissim, Viviana Patti

As a contribution to personality detection in languages other than English, we rely on distant supervision to create Personal-ITY, a novel corpus of YouTube comments in Italian, where authors are labelled with personality traits.