Search Results for author: Prodromos Malakasiotis

Found 31 papers, 8 papers with code

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models

1 code implementation20 Oct 2023 Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis, Ion Androutsopoulos

We propose a framework that allows reducing the calls to LLMs by caching previous LLM responses and using them to train a local inexpensive model on the SME side.

Intent Detection Intent Recognition +1

Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

no code implementations28 Aug 2023 Lefteris Loukas, Ilias Stogiannidis, Prodromos Malakasiotis, Stavros Vassos

We propose the use of conversational GPT models for easy and quick few-shot text classification in the financial domain using the Banking77 dataset.

Contrastive Learning Few-Shot Text Classification +2

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification

no code implementations11 Oct 2022 Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis, Desmond Elliott

Non-hierarchical sparse attention Transformer-based models, such as Longformer and Big Bird, are popular approaches to working with long documents.

Document Classification

Data Augmentation for Biomedical Factoid Question Answering

1 code implementation BioNLP (ACL) 2022 Dimitris Pappas, Prodromos Malakasiotis, Ion Androutsopoulos

We study the effect of seven data augmentation (da) methods in factoid question answering, focusing on the biomedical domain, where obtaining training instances is particularly difficult.

Data Augmentation Information Retrieval +8

FiNER: Financial Numeric Entity Recognition for XBRL Tagging

1 code implementation ACL 2022 Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras

We, therefore, introduce XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1. 1M sentences with gold XBRL tags.


MAGNEx: A Model Agnostic Global Neural Explainer

no code implementations29 Sep 2021 Nikolaos Manginas, Prodromos Malakasiotis, Eirini Spyropoulou, Ion Androutsopoulos, Georgios Paliouras

Black-box decision models have been widely adopted both in industry and academia due to their excellent performance across many challenging tasks and domains.

Computational Efficiency

Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations

no code implementations EACL 2021 Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas, Eva Katakalou, Prodromos Malakasiotis

Major scandals in corporate history have urged the need for regulatory compliance, where organizations need to ensure that their controls (processes) comply with relevant laws, regulations, and policies.

domain classification Information Retrieval +2

Neural Contract Element Extraction Revisited: Letters from Sesame Street

no code implementations12 Jan 2021 Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos

Morpho-syntactic features in the form of POS tag and token shape embeddings, as well as context-aware ELMO embeddings do not improve performance.


SumQE: a BERT-based Summary Quality Estimation Model

1 code implementation2 Sep 2019 Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos

We propose SumQE, a novel Quality Estimation model for summarization based on BERT.

Deeper Attention to Abusive User Content Moderation

no code implementations EMNLP 2017 John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos

Experimenting with a new dataset of 1. 6M user comments from a news portal and an existing dataset of 115K Wikipedia talk page comments, we show that an RNN operating on word embeddings outpeforms the previous state of the art in moderation, which used logistic regression or an MLP classifier with character or word n-grams.

regression Word Embeddings

Improved Abusive Comment Moderation with User Embeddings

no code implementations WS 2017 John Pavlopoulos, Prodromos Malakasiotis, Juli Bakagianni, Ion Androutsopoulos

Experimenting with a dataset of approximately 1. 6M user comments from a Greek news sports portal, we explore how a state of the art RNN-based moderation method can be improved by adding user embeddings, user type embeddings, user biases, or user type biases.

Vocal Bursts Type Prediction

Deep Learning for User Comment Moderation

no code implementations WS 2017 John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos

We also compare against a CNN and a word-list baseline, considering both fully automatic and semi-automatic moderation.

General Classification

A tool suite for creating question answering benchmarks

no code implementations LREC 2014 Axel-Cyrille Ngonga Ngomo, Norman Heino, Ren{\'e} Speck, Prodromos Malakasiotis

We introduce the BIOASQ suite, a set of open-source Web tools for the creation, assessment and community-driven improvement of question answering benchmarks.

Question Answering Retrieval

A Survey of Paraphrasing and Textual Entailment Methods

no code implementations18 Dec 2009 Ion Androutsopoulos, Prodromos Malakasiotis

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information.

Machine Translation Natural Language Inference +3

Cannot find the paper you are looking for? You can Submit a new open access paper.