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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 49 1 Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ... Kvapilıkova, Ivana; Artetxe, Mikel; Labaka, Gorka. - : arXiv, 2021 BASE Show details 2 Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Agirre, Eneko; Artetxe, Mikel. - : Underline Science Inc., 2021 BASE Show details 3 Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering ... Salaberria, Ander; Azkune, Gorka; de Lacalle, Oier Lopez. - : arXiv, 2021 BASE Show details 4 Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Agirre, Eneko; Barrena, Ander. - : Underline Science Inc., 2021 BASE Show details 5 Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ... Deriu, Jan Milan; Tuggener, Don; Von Däniken, Pius. - : Association for Computational Linguistics, 2020 BASE Show details 6 DoQA : accessing domain-specific FAQs via conversational QA ... Campos, Jon Ander; Otegi, Arantxa; Soroa, Aitor; Deriu, Jan Milan; Cieliebak, Mark; Agirre, Eneko. - : Association for Computational Linguistics, 2020 Abstract: 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 dataset with 2,437 dialogues and 10,917 QA pairs. The dialogues are collected from three Stack Exchange sites using the Wizard of Oz method with crowdsourcing. Compared to previous work, DoQA comprises well-defined information needs, leading to more coherent and natural conversations with less factoid questions and is multi-domain. In addition, we introduce a more realistic information retrieval (IR) scenario where the system needs to find the answer in any of the FAQ documents. The results of an existing, strong, system show that, thanks to transfer learning from a Wikipedia QA dataset and fine tuning on a single FAQ domain, it is possible to build high quality conversational QA systems for FAQs without in-domain training data. The good results carry over into the more challenging IR scenario. In both cases, there is still ample room ... Keyword: 006 Spezielle Computerverfahren; 400 Sprache und Linguistik; Deep learning; Natural language processing; Question answering URL: https://digitalcollection.zhaw.ch/handle/11475/20320 https://dx.doi.org/10.21256/zhaw-20320 BASE Hide details 7 A methodology for creating question answering corpora using inverse data annotation ... Deriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe. - : Association for Computational Linguistics, 2020 BASE Show details 8 A Call for More Rigor in Unsupervised Cross-lingual Learning ... Artetxe, Mikel; Ruder, Sebastian; Yogatama, Dani. - : arXiv, 2020 BASE Show details 9 Give your Text Representation Models some Love: the Case for Basque ... Agerri, Rodrigo; Vicente, Iñaki San; Campos, Jon Ander. - : arXiv, 2020 BASE Show details 10 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ... The 28th International Conference on Computational Linguistics 2020; Agirre, Eneko; Azkune, Gorka. - : Underline Science Inc., 2020 BASE Show details 11 Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring ... Ormazabal, Aitor; Artetxe, Mikel; Soroa, Aitor. - : arXiv, 2020 BASE Show details 12 Translation Artifacts in Cross-lingual Transfer Learning ... Artetxe, Mikel; Labaka, Gorka; Agirre, Eneko. - : arXiv, 2020 BASE Show details 13 Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers Lauscher, Anne; Majewska, Olga; Ribeiro, Leonardo F. R.. - : Association for Computational Linguistics, 2020 BASE Show details 14 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 15 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ... Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Association for Computational Linguistics, 2019 BASE Show details 16 Analyzing the Limitations of Cross-lingual Word Embedding Mappings ... Ormazabal, Aitor; Artetxe, Mikel; Labaka, Gorka. - : arXiv, 2019 BASE Show details 17 Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation ... Artetxe, Mikel; Labaka, Gorka; Lopez-Gazpio, Iñigo. - : arXiv, 2018 BASE Show details 18 SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Cross-lingual Focused Evaluation Cer, Daniel; Diab, Mona; Agirre, Eneko,... In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) ; The 11th International Workshop on Semantic Evaluation (SemEval-2017) ; https://hal.archives-ouvertes.fr/hal-01560674 ; The 11th International Workshop on Semantic Evaluation (SemEval-2017), Steven Bethard; Marine Carpuat; Marianna Apidianaki; Saif M. Mohammad; Daniel Cer; David Jurgens, Aug 2017, Vancouver, Canada. pp.1 - 14 (2017) BASE Show details 19 SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation ... Cer, Daniel; Diab, Mona; Agirre, Eneko. - : arXiv, 2017 BASE Show details 20 QTLeap WSD/NED corpus Agirre, Eneko; Branco, António; Popel, Martin. - : University of the Basque Country, UPV/EHU, 2015. : Faculty of Science, Univeristy of Lisbon, FCUL, 2015. : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015. : Bulgarian Academy of Sciences, IICT-BAS, 2015 BASE Show details Page: 1 2 3

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