Lexical-semantic resources: yet powerful resources for automatic personality classification
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.
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationGeneral ClassificationWord Sense DisambiguationSimilar Papers 제목 키워드 기반
UBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF
We present UBY-LMF, an LMF-based model for large-scale, heterogeneous multilingual lexical-semantic resources (LSRs). UBY-LMF allows the standardization of LSRs down to a fine-grained level of lexical information by empl…
Semantic Role LabelingWord Sense DisambiguationGenerating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources
We present a new approach for generating role-labeled training data using Linked Lexical Resources, i.e., integrated lexical resources that combine several resources (e.g., Word-Net, FrameNet, Wiktionary) by linking them…
General ClassificationMachine TranslationQuestion AnsweringReading Comprehension+3SemLink 2.0: Chasing Lexical Resources
The SemLink resource provides mappings between a variety of lexical semantic ontologies, each with their strengths and weaknesses. To take advantage of these differences, the ability to move between resources is essentia…
Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages
The last two decades have seen the development of various semantic lexical resources such as WordNet (Miller, 1995) and the USAS semantic lexicon (Rayson et al., 2004), which have played an important role in the areas of…
Extracting semantic relations from Portuguese corpora using lexical-syntactic patterns
The growing investment on automatic extraction procedures, together with the need for extensive resources, makes semi-automatic construction a new viable and efficient strategy for developing of language resources, combi…
Information RetrievalMachine TranslationWord Sense Disambiguation