Detecting named entities in text has long been a core NLP task. However, not much work
has gone into distinguishing whether an entity mention is addressing the entity vs. referring …

Identifying speakers in novels aims at determining who says a quote in a given context by
text analysis. This task is important for speech synthesis systems to assign appropriate …

Character is one of the three elements of a novel, and conversation is an important way to
describe characters. The personality, emotion, and interpersonal relationships of characters …

This paper presents a supervised method for a novel task, namely, detecting elements of
narration in passages of dialogue in prose fiction. The method achieves an F1-score of …

Prose fiction typically consists of passages alternating between the narrator's telling of the
story and the characters' direct speech in that story. Detecting direct speech is crucial for the …

This paper describes and evaluates a rule-based system implementing a novel method for
quote attribution in Portuguese text, working on top of a Constraint-Grammar parse. Both …

We propose a speaker clustering model for textual dialogues, which groups the utterances
of a multi-party dialogue without speaker annotations, so that the actual speakers are …

Quotations in literary works, especially novels, are important to create characters, reflect
character relationships, and drive plot development. Current research on quotation …

Speaker identification, determining which character said each utterance in literary text,
benefits many downstream tasks. Most existing approaches use expert-defined rules or rule …

1 Introduction These days machine learning techniques are stepping out of fields of practical
data analysis and are commonly being used in humanities as they offer exciting new …