Search Results for author: Lluís Màrquez

Found 16 papers, 5 papers with code

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

1 code implementation14 Jun 2022 Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian

This paper introduces the "Shopping Queries Dataset", a large dataset of difficult Amazon search queries and results, publicly released with the aim of fostering research in improving the quality of search results.

Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction

1 code implementation3 May 2020 Cristina España-Bonet, Alberto Barrón-Cedeño, Lluís Màrquez

Our best metric for domainness shows a strong correlation with the human-judged precision, representing a reasonable automatic alternative to assess the quality of domain-specific corpora.

A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates

no code implementations14 Dec 2019 Pepa Gencheva, Ivan Koychev, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov

In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.

Fact Checking

Machine Translation Evaluation Meets Community Question Answering

no code implementations ACL 2016 Francisco Guzmán, Lluís Màrquez, Preslav Nakov

We explore the applicability of machine translation evaluation (MTE) methods to a very different problem: answer ranking in community Question Answering.

Community Question Answering Machine Translation +1

SemEval-2015 Task 3: Answer Selection in Community Question Answering

no code implementations SEMEVAL 2015 Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, James Glass, Bilal Randeree

Community Question Answering (cQA) provides new interesting research directions to the traditional Question Answering (QA) field, e. g., the exploitation of the interaction between users and the structure of related posts.

Answer Selection Community Question Answering

Global Thread-Level Inference for Comment Classification in Community Question Answering

no code implementations EMNLP 2015 Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov

Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.

Community Question Answering General Classification

BookQA: Stories of Challenges and Opportunities

no code implementations2 Oct 2019 Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez

We present a system for answering questions based on the full text of books (BookQA), which first selects book passages given a question at hand, and then uses a memory network to reason and predict an answer.

Automatic Fact-Checking Using Context and Discourse Information

1 code implementation4 Aug 2019 Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James Glass

We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information.

Fact Checking

Machine Translation Evaluation with Neural Networks

no code implementations5 Oct 2017 Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov

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, given the reference translation.

Machine Translation Translation

Discourse Structure in Machine Translation Evaluation

no code implementations CL 2017 Shafiq Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov

In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation.

Machine Translation Translation

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

no code implementations21 Jun 2017 Shafiq Joty, Preslav Nakov, Lluís Màrquez, Israa Jaradat

We address the problem of cross-language adaptation for question-question similarity reranking in community question answering, with the objective to port a system trained on one input language to another input language given labeled training data for the first language and only unlabeled data for the second language.

Community Question Answering Question Similarity

Cannot find the paper you are looking for? You can Submit a new open access paper.