most citedCross-language Learning with Adversarial Neural Networks: Application to Community Question Answering

13 citations · 21 across the 11 of their papers we have counts for

collaborators

14 papers

cs.IR20171 cited

Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task

Valentin Zmiycharov, Dimitar Alexandrov, Preslav Nakov +2

We describe the system that our FMI@SU student's team built for participating in the Triple Scoring task at the WSDM Cup 2017. Given a triple from a "type-like" relation, professio…

cs.CL20172 cited

Machine Translation Evaluation with Neural Networks

Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez +1

We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses,…

cs.CL2017

Discourse Structure in Machine Translation Evaluation

Shafiq Joty, Francisco Guzmán, Lluís Màrquez +1

In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which…

cs.CL2017

Semantic Sentiment Analysis of Twitter Data

Preslav Nakov

Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJourn…

cs.CL2017

Cross-Language Question Re-Ranking

Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno +4

We study how to find relevant questions in community forums when the language of the new questions is different from that of the existing questions in the forum. In particular, we…

cs.CL2017

Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics

Martin Boyanov, Ivan Koychev, Preslav Nakov +2

We propose to use question answering (QA) data from Web forums to train chatbots from scratch, i.e., without dialog training data. First, we extract pairs of question and answer se…