SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering

no code implementations • SemEval (ACL) 2016 • Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova

We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering.

Community Question Answering

Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search

no code implementations • 25 May 2019 • Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani

While typically a user would expect a single response at any utterance, a system could also return multiple options for the user to select from, based on different system understandings of the user's intent.

Question Answering

Proceedings of the Student Research Workshop Associated with RANLP 2017

no code implementations • RANLP 2017 • Venelin, Irina, Pepa, Yasen Kiprov, Ivelina Nikolova

Proceedings of the Student Research Workshop Associated with {RANLP} 2017

no code implementations • RANLP 2017 • Venelin Kovatchev, Irina Temnikova, Pepa Gencheva, Yasen Kiprov, Ivelina Nikolova

Large-Scale Goodness Polarity Lexicons for Community Question Answering

no code implementations • 20 Jul 2017 • Todor Mihaylov, Daniel Belchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov

This leads us to the idea to build a good/bad polarity lexicon as an analogy to the positive/negative sentiment polarity lexicons, commonly used in sentiment analysis.

Community Question Answering Sentiment Analysis

The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation

2 code implementations • 12 Jul 2017 • Georgi Karadjov, Tsvetomila Mihaylova, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov

Users posting online expect to remain anonymous unless they have logged in, which is often needed for them to be able to discuss freely on various topics.

PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering

no code implementations • SEMEVAL 2016 • Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov

Community Question Answering Sentiment Analysis

SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter

no code implementations • SEMEVAL 2014 • Boris Velichkov, Borislav Kapukaranov, Ivan Grozev, Jeni Karanesheva, Todor Mihaylov, Yasen Kiprov, Preslav Nakov, Ivan Koychev, Georgi Georgiev

Sentiment Analysis