Search Results for author: Enrique Alfonseca

Found 13 papers, 2 papers with code

SKILL: Structured Knowledge Infusion for Large Language Models

no code implementations NAACL 2022 Fedor Moiseev, Zhe Dong, Enrique Alfonseca, Martin Jaggi

The models pre-trained on factual triples compare competitively with the ones on natural language sentences that contain the same knowledge.

Knowledge Graphs TriviaQA

Exploring Dual Encoder Architectures for Question Answering

1 code implementation14 Apr 2022 Zhe Dong, Jianmo Ni, Daniel M. Bikel, Enrique Alfonseca, YuAn Wang, Chen Qu, Imed Zitouni

We further explore and explain why parameter sharing in projection layer significantly improves the efficacy of the dual encoders, by directly probing the embedding spaces of the two encoder towers with t-SNE algorithm.

Information Retrieval Question Answering +1

Prosody Modifications for Question-Answering in Voice-Only Settings

2 code implementations11 Jun 2018 Aleksandr Chuklin, Aliaksei Severyn, Johanne Trippas, Enrique Alfonseca, Hanna Silen, Damiano Spina

Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the speech modality.

Informativeness Question Answering

Eval all, trust a few, do wrong to none: Comparing sentence generation models

no code implementations21 Apr 2018 Ondřej Cífka, Aliaksei Severyn, Enrique Alfonseca, Katja Filippova

In this paper, we study recent neural generative models for text generation related to variational autoencoders.

Sentence Text Generation

Learning to Attend, Copy, and Generate for Session-Based Query Suggestion

no code implementations11 Aug 2017 Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca, Pascal Fleury

e results suggest that our model outperforms the baselines both in terms of the generating queries and scoring candidate queries for the task of query suggestion.

Fast k-best Sentence Compression

no code implementations28 Oct 2015 Katja Filippova, Enrique Alfonseca

A popular approach to sentence compression is to formulate the task as a constrained optimization problem and solve it with integer linear programming (ILP) tools.

Sentence Sentence Compression

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