RGCL-WLV at SemEval-2019 Task 12: Toponym Detection

no code implementations • SEMEVAL 2019 • Alistair Plum, Tharindu Ranasinghe, Pablo Calleja, Constantin Or{\u{a}}san, Ruslan Mitkov

This article describes the system submitted by the RGCL-WLV team to the SemEval 2019 Task 12: Toponym resolution in scientific papers.

BIG-bench Machine Learning Toponym Resolution

Aggressive Language Identification Using Word Embeddings and Sentiment Features

1 code implementation • COLING 2018 • Constantin Or{\u{a}}san

Several machine learning methods and different combinations of features were tried.

Aggression Identification BIG-bench Machine Learning +2

Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities

no code implementations • WS 2017 • Victoria Yaneva, Constantin Or{\u{a}}san, Richard Evans, Omid Rohanian

Given the lack of large user-evaluated corpora in disability-related NLP research (e. g. text simplification or readability assessment for people with cognitive disabilities), the question of choosing suitable training data for NLP models is not straightforward.

Text Simplification

WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity

no code implementations • SEMEVAL 2016 • Hannah Bechara, Rohit Gupta, Liling Tan, Constantin Or{\u{a}}san, Ruslan Mitkov, Josef van Genabith

Information Retrieval Machine Translation +4

Machine Translation Evaluation using Recurrent Neural Networks

1 code implementation • WS 2015 • Rohit Gupta, Constantin Or{\u{a}}san, Josef van Genabith

Feature Engineering Machine Translation +3

Barbecued Opakapaka: Using Semantic Preferences for Ontology Population

no code implementations • RANLP 2015 • Ismail El Maarouf, Georgiana Marsic, Constantin Or{\u{a}}san

ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks

1 code implementation • EMNLP 2015 • Rohit Gupta, Constantin Or{\u{a}}san, Josef van Genabith

Feature Engineering Machine Translation +3

Can Translation Memories afford not to use paraphrasing?

no code implementations • WS 2015 • Rohit Gupta, Constantin Or{\u{a}}san, Marcos Zampieri, Mihaela Vela, Josef van Genabith

Semantic Textual Similarity Translation

Relative clause extraction for syntactic simplification

no code implementations • WS 2014 • Iustin Dornescu, Richard Evans, Constantin Or{\u{a}}san

Lexical Simplification Machine Translation +2

UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment

1 code implementation • SEMEVAL 2014 • Rohit Gupta, Hanna B{\'e}chara, Ismail El Maarouf, Constantin Or{\u{a}}san

Information Retrieval Machine Translation +3

An evaluation of syntactic simplification rules for people with autism

no code implementations • WS 2014 • Richard Evans, Constantin Or{\u{a}}san, Iustin Dornescu

Reading Comprehension

A Tagging Approach to Identify Complex Constituents for Text Simplification

no code implementations • RANLP 2013 • Iustin Dornescu, Richard Evans, Constantin Or{\u{a}}san

Machine Translation Reading Comprehension +1

Book Review: Interactive Multi-Modal Question-Answering by Antal van den Bosch and Gosse Bouma

no code implementations • CL 2012 • Constantin Or{\u{a}}san

Dialogue Management Question Answering +1