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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 Hits 1 – 12 of 12 1 A Swiss German Dictionary: Variation in Speech and Writing ... Schmidt, Larissa; Linder, Lucy; Djambazovska, Sandra. - : arXiv, 2020 BASE Show details 2 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation Hollenstein, Nora; Zhang, Ce; Russo, Giuseppe... In: Findings of the Association for Computational Linguistics: EMNLP 2020 (2020) BASE Show details 3 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation ... Russo, Giuseppe; Hollenstein, Nora; Musat, Claudiu. - : ETH Zurich, 2020 BASE Show details 4 Sentiment Analysis Using a Novel Human Computation Game Musat, Claudiu Cristian; Faltings, Boi; Ghasemi, Alireza In: http://infoscience.epfl.ch/record/269072 (2019) BASE Show details 5 Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision Giannakopoulos, Athanasios; Antognini, Diego; Musat, Claudiu; Hossmann, Andreea; Baeriswyl, Michael In: http://infoscience.epfl.ch/record/269011 (2019) Abstract: Aspect Term Extraction (ATE) detects opinionated aspect terms in sentences or text spans, with the end goal of performing aspect-based sentiment analysis. The small amount of available datasets for supervised ATE and the fact that they cover only a few domains raise the need for exploiting other data sources in new and creative ways. Publicly available review corpora contain a plethora of opinionated aspect terms and cover a larger domain spectrum. In this paper, we first propose a method for using such review corpora for creating a new dataset for ATE. Our method relies on an attention mechanism to select sentences that have a high likelihood of containing actual opinionated aspects. We thus improve the quality of the extracted aspects. We then use the constructed dataset to train a model and perform ATE with distant supervision. By evaluating on human annotated datasets, we prove that our method achieves a significantly improved performance over various unsupervised and supervised baselines. Finally, we prove that sentence selection matters when it comes to creating new datasets for ATE. Specifically, we show that, using a set of selected sentences leads to higher ATE performance compared to using the whole sentence set. URL: https://infoscience.epfl.ch/record/269011/files/Giannakopoulos2017b.pdf http://infoscience.epfl.ch/record/269011 BASE Hide details 6 Churn Intent Detection in Multilingual Chatbot Conversations and Social Media ... Abbet, Christian; M'hamdi, Meryem; Giannakopoulos, Athanasios. - : arXiv, 2018 BASE Show details 7 Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German ... Honnet, Pierre-Edouard; Popescu-Belis, Andrei; Musat, Claudiu. - : arXiv, 2017 BASE Show details 8 Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets Sintsova, Valentina; Musat, Claudiu-Cristian; Pu, Pearl In: http://infoscience.epfl.ch/record/210750 (2015) BASE Show details 9 EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets Kempter, Renato; Sintsova, Valentina; Musat, Claudiu... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 8 No. 1 (2014): Eighth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2014) BASE Show details 10 Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose Boia, Marina; Musat, Claudiu Cristian; Faltings, Boi In: http://infoscience.epfl.ch/record/203147 (2014) BASE Show details 11 A :) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets Boia, Marina; Faltings, Boi; Musat, Claudiu-Cristian... In: http://infoscience.epfl.ch/record/197177 (2014) BASE Show details 12 Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation Sintsova, Valentina; Musat, Claudiu-Cristian; Pu, Pearl In: http://infoscience.epfl.ch/record/197185 (2014) BASE Show details

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