Search Results for author: Lluis Marquez

Found 11 papers, 4 papers with code

Diable: Efficient Dialogue State Tracking as Operations on Tables

1 code implementation26 May 2023 Pietro Lesci, Yoshinari Fujinuma, Momchil Hardalov, Chao Shang, Yassine Benajiba, Lluis Marquez

Sequence-to-sequence state-of-the-art systems for dialogue state tracking (DST) use the full dialogue history as input, represent the current state as a list with all the slots, and generate the entire state from scratch at each dialogue turn.

Dialogue State Tracking

Pairwise Neural Machine Translation Evaluation

no code implementations IJCNLP 2015 Francisco Guzman, Shafiq Joty, Lluis Marquez, Preslav Nakov

We present a novel 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 Sentence +2

DiscoTK: Using Discourse Structure for Machine Translation Evaluation

no code implementations WS 2014 Shafiq Joty, Francisco Guzman, Lluis Marquez, Preslav Nakov

We present novel automatic metrics for machine translation evaluation that use discourse structure and convolution kernels to compare the discourse tree of an automatic translation with that of the human reference.

Machine Translation Translation

Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings

no code implementations EMNLP 2018 Shafiq Joty, Lluis Marquez, Preslav Nakov

We address jointly two important tasks for Question Answering in community forums: given a new question, (i) find related existing questions, and (ii) find relevant answers to this new question.

Community Question Answering

Integrating Stance Detection and Fact Checking in a Unified Corpus

no code implementations NAACL 2018 Ramy Baly, Mitra Mohtarami, James Glass, Lluis Marquez, Alessandro Moschitti, Preslav Nakov

A reasonable approach for fact checking a claim involves retrieving potentially relevant documents from different sources (e. g., news websites, social media, etc.

Fact Checking Retrieval +1

Automatic Stance Detection Using End-to-End Memory Networks

no code implementations NAACL 2018 Mitra Mohtarami, Ramy Baly, James Glass, Preslav Nakov, Lluis Marquez, Alessandro Moschitti

We present a novel end-to-end memory network for stance detection, which jointly (i) predicts whether a document agrees, disagrees, discusses or is unrelated with respect to a given target claim, and also (ii) extracts snippets of evidence for that prediction.

Stance Detection

Fact Checking in Community Forums

3 code implementations8 Mar 2018 Tsvetomila Mihaylova, Preslav Nakov, Lluis Marquez, Alberto Barron-Cedeno, Mitra Mohtarami, Georgi Karadzhov, James Glass

Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information.

Community Question Answering Fact Checking

Cross-Language Question Re-Ranking

no code implementations4 Oct 2017 Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno, Shafiq Joty, Lluis Marquez, Alessandro Moschitti, Preslav Nakov

We compare a kernel-based system with a feed-forward neural network in a scenario where a large parallel corpus is available for training a machine translation system, bilingual dictionaries, and cross-language word embeddings.

Machine Translation Re-Ranking +1

Fully Automated Fact Checking Using External Sources

1 code implementation RANLP 2017 Georgi Karadzhov, Preslav Nakov, Lluis Marquez, Alberto Barron-Cedeno, Ivan Koychev

Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.

Community Question Answering Fact Checking

Semi-supervised Question Retrieval with Gated Convolutions

1 code implementation NAACL 2016 Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Katerina Tymoshenko, Alessandro Moschitti, Lluis Marquez

Question answering forums are rapidly growing in size with no effective automated ability to refer to and reuse answers already available for previous posted questions.

Question Answering Retrieval

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