Lucie Flekova


2018

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Proceedings of the Second Workshop on Stylistic Variation
Julian Brooke | Lucie Flekova | Moshe Koppel | Thamar Solorio
Proceedings of the Second Workshop on Stylistic Variation

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Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms
Lucie Flekova | Vasileios Lampos | Ingemar Cox
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task

Previous research has linked psychological and social variables to physical health. At the same time, psychological and social variables have been successfully predicted from the language used by individuals in social media. In this paper, we conduct an initial exploratory study linking these two areas. Using the social media platform of Twitter, we identify users self-reporting symptoms that are descriptive of influenza-like illness (ILI). We analyze the tweets of those users in the periods before, during, and after the reported symptoms, exploring emotional, cognitive, and structural components of language. We observe a post-ILI increase in social activity and cognitive processes, possibly supporting previous offline findings linking more active social activities and stronger cognitive coping skills to a better immune status.

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Lexical-semantic resources: yet powerful resources for automatic personality classification
Xuan-Son Vu | Lucie Flekova | Lili Jiang | Iryna Gurevych
Proceedings of the 9th Global Wordnet Conference

In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic personality classification task. While stylistic features (e.g., part-of-speech counts) have been shown their power in this task, the impact of semantics beyond targeted word lists is relatively unexplored. We propose and extract three types of lexical-semantic features, which capture high-level concepts and emotions, overcoming the lexical gap of word n-grams. Our experimental results are comparable to state-of-the-art methods, while no personality-specific resources are required.

2016

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Analyzing Biases in Human Perception of User Age and Gender from Text
Lucie Flekova | Jordan Carpenter | Salvatore Giorgi | Lyle Ungar | Daniel Preoţiuc-Pietro
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova | Iryna Gurevych
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Exploring Stylistic Variation with Age and Income on Twitter
Lucie Flekova | Daniel Preoţiuc-Pietro | Lyle Ungar
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2015

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Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
Lucie Flekova | Daniel Preoţiuc-Pietro | Eugen Ruppert
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources
Lucie Flekova | Iryna Gurevych
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data
Lucie Flekova | Oliver Ferschke | Iryna Gurevych
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)