Motivation The amount of raw data available online has increased dramatically over the past few years; in order for us to maintain the usability of this data we must develop effective ways to efficiently and automatically organize it. For our CS 224N final project, we chose to develop a classifier that classifies songs into genres and/or artists based solely on their lyrics. We primarily focuse...

In this paper we explore the relationship between the genre of a text and the types of situations introduced by the clauses of the text, working from the perspective of the theory of discourse modes (Smith, 2003). The typology of situation types distinguishes between, for example, events, states, generic statements, and speech acts. We analyze texts of different genres from two English text cor...

In this paper, we propose the use of automatic text classification methods to analyse variation in English-German translations from both a quantitative and a qualitative perspective. The experiments described in this paper are carried out in two steps. We trained classifiers to 1) discriminate between different genres (fiction, political essays, etc.); and 2) identify the translation method (ma...

Hypnosis is attempting to come to grips with the EST (Empirically Supported Therapy) revolution in mental health practice. However, there are ways to account for outcome outside of simple empirical validation of treatment models. In this light, strategic eclecticism as a broader research-based consideration is used to illustrate empirical principles within Eriksonian hypnotherapeutic approaches.

Part of speech (POS) taggers and dependency parsers tend to work well on homogeneous datasets but their performance suffers on datasets containing data from different genres. In our current work, we investigate how to create POS tagging and dependency parsing experts for heterogeneous data by employing topic modeling. We create topic models (using Latent Dirichlet Allocation) to determine genre...

Stylometric analysis of prose is typically limited to classification tasks such as authorship attribution. Since the models used are typically black boxes, they give little insight into the stylistic differences they detect. In this paper, we characterize two prose genres syntactically: chick lit (humorous novels on the challenges of being a modern-day urban female) and high literature. First, ...

We present initial results from an international and multi-disciplinary research collaboration that aims at the construction of a reference corpus of web genres. The primary application scenario for which we plan to build this resource is the automatic identification of web genres. Web genres are rather difficult to capture and to describe in their entirety, but we plan for the finished referen...

Previous studies have found a positive relationship between exposure to fiction and interpersonal sensitivity. However, it is unclear whether exposure to different genres of fiction may be differentially related to these outcomes for readers. The current study investigated the role of four fiction genres (i.e., Domestic Fiction, Romance, Science-Fiction/Fantasy, and Suspense/Thriller) in the re...

Introduction Narratives have always been a vital part of medicine. Stories about patients, the experience of caring for them, and their recovery from illness have always been shared—among physicians as well as among patients and their relatives. With the evolution of “modern” medicine, narratives were increasingly neglected in favor of “facts and findings,” which were regarded as more scientifi...