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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

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91 papers · 1 filter

cs.CL2022

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

Zihui Gu, Ju Fan, Nan Tang +3

Fact verification has attracted a lot of research attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and disinformation online can sway one's o…

cs.CL2022

IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection

Shubham Mittal, Preslav Nakov

We present our system for the two subtasks of the shared task on propaganda detection in Arabic, part of WANLP'2022. Subtask 1 is a multi-label classification problem to find the p…

cs.CL2022

Leaf: Multiple-Choice Question Generation

Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov +3

Testing with quiz questions has proven to be an effective way to assess and improve the educational process. However, manually creating quizzes is tedious and time-consuming. To ad…

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…