[PDF] Top 20 Dialogue Natural Language Inference
Has 10000 "Dialogue Natural Language Inference" found on our website. Below are the top 20 most common "Dialogue Natural Language Inference".
Dialogue Natural Language Inference
... crowdsourced dialogue collection process of the Persona-Chat dataset (Zhang et ...ral dialogue domain that differs from existing NLI datasets, which are either drawn from different do- mains such as image ... See full document
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Posing Fair Generalization Tasks for Natural Language Inference
... In this paper, we seek to address this issue by defining a formal notion of fairness for these eval- uations. The definition is quite general and can be used to create fair evaluations for a wide range of tasks. We apply ... See full document
11
A large annotated corpus for learning natural language inference
... Natural languages are powerful vehicles for rea- soning, and nearly all questions about meaning- fulness in language can be reduced to questions of entailment and contradiction in context. This sug- gests ... See full document
11
A Phrase Based Alignment Model for Natural Language Inference
... The alignment problem—establishing links between corresponding phrases in two related sentences—is as important in natural language inference (NLI) as it is in machine transla- tion (MT). But the ... See full document
10
Generating Token Level Explanations for Natural Language Inference
... The task of Natural Language Inference (NLI) is widely modeled as supervised sentence pair classification. While there has been a lot of work recently on generating explanations of the predictions of ... See full document
7
A Wide Coverage Symbolic Natural Language Inference System
... Natural Language Inference (NLI) is the task of determining of whether an NL hypothesis H fol- lows from an NL premise(s) ...of inference that can be thought to be ‘looser’ or less precise ... See full document
6
A Context aware Natural Language Generator for Dialogue Systems
... of natural language generation (NLG) components in task-oriented SDS typically is to produce a natural language sentence from a dialogue act (DA) (Young et ... See full document
6
Stylistic Variation in Television Dialogue for Natural Language Generation
... with characters’ intentions, facial expressions, and actions (Li et al., 2014). In addition, they used the Google N-Gram Corpus and Project Guten- berg to help select different types of sentences (most/least probable, ... See full document
9
Natural Language Dialogue Service for Appointment Scheduling Agents
... A NLP server which can both provide a range of natural language services and process multiple dialogues for a variety of applications in parallel requires 1 an architecture that ensures [r] ... See full document
8
Gaussian Transformer: A Lightweight Approach for Natural Language Inference
... Natural Language Inference (NLI) is an active research area, where numerous approaches based on recurrent neural net- works (RNNs), convolutional neural networks (CNNs), and self-attention networks ... See full document
8
Neural Approaches to Conversational AI
... a dialogue policy which selects the next action based on the current state; and (4) a natural lan- guage generator (NLG) for converting the agent action to a natural language ...mize ... See full document
6
Asynchronous Deep Interaction Network for Natural Language Inference
... The other set of models uses the cross-sentence feature or inter-sentence attention from one sen- tence to another, and is hence referred to as a matching-aggregation framework. Parikh et al. (2016) use attention to ... See full document
9
Context aware Natural Language Generation for Spoken Dialogue Systems
... of language generated by rule-based or template-based methods mostly depends on the handcrafted rules or ...the language, the need of writing and maintaining the rules or templates is a large burden to ... See full document
10
An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... casts dialogue act identification as a supervised learning ...a dialogue act label may be book-request, while an example of one too fine-grained may be book-request-by- ... See full document
6
Pattern Matching Rules for the Recognition of Natural Language Dialogue Expressions
... GOOD GOOD GOOD GO00 GOOD GOOD GOOD GOOD GOOD G O 0 0 GOOD GOOD GOOD GOOD GOOD GOOD GOOD GOOD GOnD GOOD GOOD GOOD GOOD.. HALLU , HALLU HALLU HALLU HALLU HALLU HALLU HALLU HALLU HALLU.[r] ... See full document
82
Optimising Natural Language Generation Decision Making For Situated Dialogue
... to dialogue, where it encodes all infor- mation relevant to the current state of the ...the dialogue, formal representations of these com- ponents, a set of dialogue moves leading to the up- date of ... See full document
10
Effects of Variable Initiative on Linguistic Behavior in Human Computer Spoken Natural Language Dialogue
... Effects of Variable Initiative on Linguistic Behavior in Human-Computer Spoken Natural Language Dialogue.. Smith* East Carolina University.[r] ... See full document
28
Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning
... Spoken dialogue systems that can help users to solve complex tasks such as booking a movie ticket become an emerging research topic in the ar- tificial intelligence and natural language process- ing ... See full document
6
CPSC Artificial Intelligence! Fall 2017" Jörg Denzinger" ICT 752"
... an application area, machine learning to add to represented knowledge (often using natural. language understanding) and restricted inference[r] ... See full document
23
Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue
... a dialogue is generally made up of a limited number of repeated Named ...in language A into language B and then translating the sentence in language B back to language ... See full document
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