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Found 20 papers, 2 papers with code
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking
Here we develop a novel few-shot overgenerate-and-rank approach that achieves the controlled generation of DAs.
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Natural language generation lies at the core of generative dialogue systems and conversational agents.
Ranked #4 on
Data-to-Text Generation
on E2E NLG Challenge
(using extra training data)
Exploring Conversational Language Generation for Rich Content about Hotels
Dialogue systems for hotel and tourist information have typically simplified the richness of the domain, focusing system utterances on only a few selected attributes such as price, location and type of rooms.
TNT-NLG, System 1: Using a statistical NLG to massively augment crowd-sourced data for neural generation
In the area of natural language generation (NLG), there has been a great deal of interest in end-to-end (E2E) neural models that learn and generate natural language sentence realizations in one step.
Ranked #7 on
Data-to-Text Generation
on E2E NLG Challenge
(using extra training data)
Measuring the Similarity of Sentential Arguments in Dialog
Debate websites produce curated summaries of arguments on such topics; these summaries typically consist of lists of sentences that represent frequently paraphrased propositions, or labels capturing the essence of one particular aspect of an argument, e. g.
Getting Reliable Annotations for Sarcasm in Online Dialogues
The language used in online forums differs in many ways from that of traditional language resources such as news.
Storytelling Agents with Personality and Adaptivity
Our results show that subjects are able to perceive the intended variation in extraversion between different virtual agents, independently of the story they are telling and the gender of the agent.
PersonaBank: A Corpus of Personal Narratives and Their Story Intention Graphs
We present a new corpus, PersonaBank, consisting of 108 personal stories from weblogs that have been annotated with their Story Intention Graphs, a deep representation of the fabula of a story.
Inferring Narrative Causality between Event Pairs in Films
To understand narrative, humans draw inferences about the underlying relations between narrative events.
Automating Direct Speech Variations in Stories and Games
Dialogue authoring in large games requires not only content creation but the subtlety of its delivery, which can vary from character to character.
Unsupervised Induction of Contingent Event Pairs from Film Scenes
Human engagement in narrative is partially driven by reasoning about discourse relations between narrative events, and the expectations about what is likely to happen next that results from such reasoning.
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events
Much of the user-generated content on social media is provided by ordinary people telling stories about their daily lives.
Inference of Fine-Grained Event Causality from Blogs and Films
Human understanding of narrative is mainly driven by reasoning about causal relations between events and thus recognizing them is a key capability for computational models of language understanding.
Generating Sentence Planning Variations for Story Telling
There has been a recent explosion in applications for dialogue interaction ranging from direction-giving and tourist information to interactive story systems.
Identifying Subjective and Figurative Language in Online Dialogue
More and more of the information on the web is dialogic, from Facebook newsfeeds, to forum conversations, to comment threads on news articles.
Generating Different Story Tellings from Semantic Representations of Narrative
In order to tell stories in different voices for different audiences, interactive story systems require: (1) a semantic representation of story structure, and (2) the ability to automatically generate story and dialogue from this semantic representation using some form of Natural Language Generation (NLG).
Modelling Protagonist Goals and Desires in First-Person Narrative
Many genres of natural language text are narratively structured, a testament to our predilection for organizing our experiences as narratives.
Narrative Variations in a Virtual Storyteller
Research on storytelling over the last 100 years has distinguished at least two levels of narrative representation (1) story, or fabula; and (2) discourse, or sujhet.
M2D: Monolog to Dialog Generation for Conversational Story Telling
Storytelling serves many different social functions, e. g. stories are used to persuade, share troubles, establish shared values, learn social behaviors, and entertain.
