activity
20152023
most citedImage Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering

67 citations · 261 across the 19 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 1 cited

Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring

Aitor Ormazabal, Mikel Artetxe, Aitor Soroa +2

Recent research on cross-lingual word embeddings has been dominated by unsupervised mapping approaches that align monolingual embeddings. Such methods critically rely on those embe…

cs.CL2020

Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning

Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi +3

The interaction of conversational systems with users poses an exciting opportunity for improving them after deployment, but little evidence has been provided of its feasibility. In…

cs.AI2020

Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems

Jan Deriu, Don Tuggener, Pius von Däniken +6

The lack of time-efficient and reliable evaluation methods hamper the development of conversational dialogue systems (chatbots). Evaluations requiring humans to converse with chatb…

cs.CL2020

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

Jon Ander Campos, Arantxa Otegi, Aitor Soroa +3

The goal of this work is to build conversational Question Answering (QA) interfaces for the large body of domain-specific information available in FAQ sites. We present DoQA, a dat…

cs.CL2020★ 2 cited

Evaluating Multimodal Representations on Visual Semantic Textual Similarity

Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa +2

The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities…

cs.CL2020★ 9 cited

Give your Text Representation Models some Love: the Case for Basque

Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos +4

Word embeddings and pre-trained language models allow to build rich representations of text and have enabled improvements across most NLP tasks. Unfortunately they are very expensi…