Search Results for author: Traian Rebedea

Found 19 papers, 6 papers with code

Multimodal Semi-supervised Learning for Disaster Tweet Classification

1 code implementation COLING 2022 Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea

In this paper, we investigate how to leverage the copious amounts of unlabeled data generated on social media by disaster eyewitnesses and affected individuals during disaster events.

Classification

Exploring the Power of Romanian BERT for Dialect Identification

no code implementations VarDial (COLING) 2020 George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Traian Rebedea

Dialect identification represents a key aspect for improving a series of tasks, for example, opinion mining, considering that the location of the speaker can greatly influence the attitude towards a subject.

Dialect Identification Opinion Mining

Distilling the Knowledge of Romanian BERTs Using Multiple Teachers

1 code implementation LREC 2022 Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel, Mihai Dascălu, Traian Rebedea, Vasile Păiş, Dan Tufiş

In this work, we introduce three light and fast versions of distilled BERT models for the Romanian language: Distil-BERT-base-ro, Distil-RoBERT-base, and DistilMulti-BERT-base-ro.

Dialect Identification Knowledge Distillation +8

A Sketch-Based Neural Model for Generating Commit Messages from Diffs

1 code implementation8 Apr 2021 Nicolae-Teodor Pavel, Traian Rebedea

In this paper we apply neural machine translation (NMT) techniques to convert code diffs into commit messages and we present an improved sketch-based encoder for this task.

Code Generation Machine Translation +2

BART-TL: Weakly-Supervised Topic Label Generation

no code implementations EACL 2021 Cristian Popa, Traian Rebedea

We propose a novel solution for assigning labels to topic models by using multiple weak labelers.

Topic Models

Neural Approaches for Natural Language Interfaces to Databases: A Survey

no code implementations COLING 2020 Radu Cristian Alexandru Iacob, Florin Brad, Elena-Simona Apostol, Ciprian-Octavian Truic{\u{a}}, Ionel Alexandru Hosu, Traian Rebedea

A natural language interface to databases (NLIDB) enables users without technical expertise to easily access information from relational databases.

A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania

no code implementations23 Jun 2020 Radu D. Stochiţoiu, Marian Petrica, Traian Rebedea, Ionel Popescu, Marius Leordeanu

More specifically, we want to statistically estimate all the relevant parameters for the new coronavirus COVID-19, such as the reproduction number, fatality rate or length of infectiousness period, based on Romanian patients, as well as be able to predict future outcomes.

Answering questions by learning to rank - Learning to rank by answering questions

no code implementations IJCNLP 2019 George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti

Answering multiple-choice questions in a setting in which no supporting documents are explicitly provided continues to stand as a core problem in natural language processing.

Learning-To-Rank Multiple-choice

Answering questions by learning to rank -- Learning to rank by answering questions

no code implementations2 Sep 2019 George-Sebastian Pîrtoacă, Traian Rebedea, Stefan Ruseti

Answering multiple-choice questions in a setting in which no supporting documents are explicitly provided continues to stand as a core problem in natural language processing.

Learning-To-Rank Multiple-choice

Cross-Domain Training for Goal-Oriented Conversational Agents

no code implementations RANLP 2019 Alex Bod{\^\i}rl{\u{a}}u, ra Maria, Stefania Budulan, Traian Rebedea

Goal-Oriented Chatbots in fields such as customer support, providing certain information or general help with bookings or reservations, suffer from low performance partly due to the difficulty of obtaining large domain-specific annotated datasets.

Transfer Learning Unsupervised Pre-training

Improving Retrieval-Based Question Answering with Deep Inference Models

1 code implementation7 Dec 2018 George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti

Question answering is one of the most important and difficult applications at the border of information retrieval and natural language processing, especially when we talk about complex science questions which require some form of inference to determine the correct answer.

Information Retrieval Natural Language Inference +2

Neural Paraphrase Generation using Transfer Learning

no code implementations WS 2017 Florin Brad, Traian Rebedea

Progress in statistical paraphrase generation has been hindered for a long time by the lack of large monolingual parallel corpora.

Machine Translation Natural Language Inference +4

Dataset for a Neural Natural Language Interface for Databases (NNLIDB)

1 code implementation IJCNLP 2017 Florin Brad, Radu Iacob, Ionel Hosu, Traian Rebedea

Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic issues (such as language ambiguity) and domain portability.

Translation

Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay

1 code implementation18 Jul 2016 Ionel-Alexandru Hosu, Traian Rebedea

This paper introduces a novel method for learning how to play the most difficult Atari 2600 games from the Arcade Learning Environment using deep reinforcement learning.

Montezuma's Revenge reinforcement-learning +1

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