It all starts with entities: A Salient entity topic model

Abstract

Entities play an essential role in understanding textual documents, regardless of whether the documents are short, such as tweets, or long, such as news articles. In short textual documents, all entities mentioned are usually considered equally important because of the limited amount of information. In long textual documents, however, not all entities are equally important: some are salient and others are not. Traditional entity topic models (ETMs) focus on ways to incorporate entity information into topic models to better explain the generative process of documents. However, entities are usually treated equally, without considering whether they are salient or not. In this work, we propose a novel ETM, Salient Entity Topic Model, to take salient entities into consideration in the document generation process. In particular, we model salient entities as a source of topics used to generate words in documents, in addition to the topic distribution of documents used in traditional topic models. Qualitative and quantitative analysis is performed on the proposed model. Application to entity salience detection demonstrates the effectiveness of our model compared to the state-of-the-art topic model baselines.

Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search

“…These salient entities are crucial for the user to be familiar with, in order to satisfy their information need. However, in shorter texts that contain fewer entities, this percentage is anticipated to be higher [39]. Answers in CIS are a prime example of such shorter texts.…”

Contextualizing Trending Entities in News Stories

“…Also related to our setting is quantifying so-called relatedness, i.e., estimating the strength of the relationships between two or more entities, for instance by considering co-occurrences in a set of documents [16]. Similarly, entity salience aims at quantifying how crucial an entity is in natural language discourse [8,18,21,24,26].…”