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Found 19 papers, 0 papers with code
On a Chatbot Navigating a User through a Concept-Based Knowledge Model
Information retrieval chatbots are widely used as assistants, to help users formulate their requirements about the products they want to purchase, and navigate to the set of items that satisfies their requirements in the best way.
Interrupt me Politely: Recommending Products and Services by Joining Human Conversation
We propose a novel way of conversational recommendation, where instead of asking questions to the user to acquire their preferences; the recommender tracks their conversation with other people, including customer support agents (CSA), and joins the conversation only when it is time to introduce a recommendation.
Relying on Discourse Analysis to Answer Complex Questions by Neural Machine Reading Comprehension
Machine reading comprehension (MRC) is one of the most challenging tasks in natural language processing domain.
Correcting Texts Generated by Transformers using Discourse Features and Web Mining
We address both of these flaws: they are independent but can be combined to generate original texts that will be both consistent and truthful.
Controlling Chat Bot Multi-Document Navigation with the Extended Discourse Trees
We define extended discourse trees, introduce means to manipulate with them, and outline scenarios of multi-document navigation to extend the abilities of the interactive information retrieval-based chat bot.
Two Discourse Tree - Based Approaches to Indexing Answers
We explore anatomy of answers with respect to which text fragments from an answer are worth matching with a question and which should not be matched.
On a Chatbot Providing Virtual Dialogues
We present a chatbot that delivers content in the form of virtual dialogues automatically produced from the plain texts that are extracted and selected from the documents.
On a Chatbot Conducting Dialogue-in-Dialogue
We demo a chatbot that delivers content in the form of virtual dialogues automatically produced from plain texts extracted and selected from documents.
Discourse-Based Approach to Involvement of Background Knowledge for Question Answering
We introduce a concept of a virtual discourse tree to improve question answering (Q/A) recall for complex, multi-sentence questions.
Building Dialogue Structure from Discourse Tree of a Question
In this section we propose a reasoning-based approach to a dialogue management for a customer support chat bot.
On a Chat Bot Finding Answers with Optimal Rhetoric Representation
The system achieves rhetoric agreement by learning pairs of discourse trees (DTs) for question (Q) and answer (A).
Chatbot with a Discourse Structure-Driven Dialogue Management
We then combine DTs for the paragraphs of documents to form what we call extended DT, which is a basis for interactive content exploration facilitated by the chat bot.
A Tool for Efficient Content Compilation
This tool imitates the process of essay writing by humans: searching for topics on the web, selecting content frag-ments from the found document, and then compiling these fragments to obtain a coherent text.
