activity
20162023
most citedSemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

448 citations · 1.1k across the 73 of their papers we have counts for

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Showing 2017 · cs.CLShow all

11 papers · 2 filters

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…

cs.CL2017

Robust Tuning Datasets for Statistical Machine Translation

Preslav Nakov, Stephan Vogel

We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect…