activity
20162022
most citedSemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

448 citations · 1.1k across the 69 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

cs.CL20214 cited

Sentiment Analysis in Twitter for Macedonian

Dame Jovanoski, Veno Pachovski, Preslav Nakov

We present work on sentiment analysis in Twitter for Macedonian. As this is pioneering work for this combination of language and genre, we created suitable resources for training a…

cs.CL202115 cited

Translating from Morphologically Complex Languages: A Paraphrase-Based Approach

Preslav Nakov, Hwee Tou Ng

We propose a novel approach to translating from a morphologically complex language. Unlike previous research, which has targeted word inflections and concatenations, we focus on th…

cs.CL202115 cited

Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets

Jörg Tiedemann, Preslav Nakov

This paper provides an analysis of character-level machine translation models used in pivot-based translation when applied to sparse and noisy datasets, such as crowdsourced movie…

cs.CL202122 cited

Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields

Georgi Georgiev, Preslav Nakov, Kuzman Ganchev +2

The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, locations, and miscellaneous) in news text for…

cs.CL2021

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

Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov +9

We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. We achieved the best results on subtask C, and strong results on subtasks A…

cs.LG202143 cited

Exposing Paid Opinion Manipulation Trolls

Todor Mihaylov, Ivan Koychev, Georgi Georgiev +1

Recently, Web forums have been invaded by opinion manipulation trolls. Some trolls try to influence the other users driven by their own convictions, while in other cases they can b…