Search Results for author:
Found 7 papers, 1 papers with code
ICM : Intent and Conversational Mining from Conversation Logs
Building conversation agents requires a large amount of manual effort in creating training data for intents / entities as well as mapping out extensive conversation flows.
Unknown Intent Detection Using Multi-Objective Optimization on Deep Learning Classifiers
This task of separating the unknown intent samples from known intents one is challenging as the unknown user intent can range from intents similar to the predefined intents to something completely different.
Constraint-based Multi-hop Question Answering with Knowledge Graph
The objective of a Question-Answering system over Knowledge Graph (KGQA) is to respond to natural language queries presented over the KG.
INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System
We employ a set of novel rewards, specifically tailored for the negotiation task to train our Negotiation Agent, termed as the Integrative Negotiation Agent (INA).
COFAR: Commonsense and Factual Reasoning in Image Search
To enable both commonsense and factual reasoning in the image search, we present a unified framework, namely Knowledge Retrieval-Augmented Multimodal Transformer (KRAMT), that treats the named visual entities in an image as a gateway to encyclopedic knowledge and leverages them along with natural language query to ground relevant knowledge.
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues
Since AI solutions are data intensive and there exists no domain specific data to address the problem of biases in scripts, we introduce a new dataset of movie scripts that are annotated for identity bias.
Causal BERT : Language models for causality detection between events expressed in text
Therefore, as expected these methods are more geared towards handling explicit causal relationships leading to limited coverage for implicit relationships and are hard to generalize.
