354 citations · 434 across the 15 of their papers we have counts for
16 papers
Intelligent Assistant Language Understanding On Device
Cecilia Aas, Hisham Abdelsalam, Irina Belousova +20
It has recently become feasible to run personal digital assistants on phones and other personal devices. In this paper we describe a design for a natural language understanding sys…
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu, Kai-Chen Cheng, David Q. Sun +7
With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedba…
Using Pause Information for More Accurate Entity Recognition
Sahas Dendukuri, Pooja Chitkara, Joel Ruben Antony Moniz +3
Entity tags in human-machine dialog are integral to natural language understanding (NLU) tasks in conversational assistants. However, current systems struggle to accurately parse s…
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang +6
Named entity recognition (NER) is usually developed and tested on text from well-written sources. However, in intelligent voice assistants, where NER is an important component, inp…
Open-Domain Question Answering Goes Conversational via Question Rewriting
Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu +3
We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs. The task in QReCC is to find a…
Generalized Reinforcement Meta Learning for Few-Shot Optimization
Raviteja Anantha, Stephen Pulman, Srinivas Chappidi
We present a generic and flexible Reinforcement Learning (RL) based meta-learning framework for the problem of few-shot learning. During training, it learns the best optimization a…
Noise Robust Named Entity Understanding for Voice Assistants
Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao +21
Named Entity Recognition (NER) and Entity Linking (EL) play an essential role in voice assistant interaction, but are challenging due to the special difficulties associated with sp…
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
Pranay Dighe, Saurabh Adya, Nuoyu Li +6
Voice-triggered smart assistants often rely on detection of a trigger-phrase before they start listening for the user request. Mitigation of false triggers is an important aspect o…
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Deepak Muralidharan, Justine Kao, Xiao Yang +8
Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands. However, components in thes…
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant
Xi C. Chen, Adithya Sagar, Justine T. Kao +5
We describe a method for selecting relevant new training data for the LSTM-based domain selection component of our personal assistant system. Adding more annotated training data fo…
Deep Learning for Answer Sentence Selection
Lei Yu, Karl Moritz Hermann, Phil Blunsom +1
Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right as well as in the larger c…
Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras
Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Stephen Pulman +1
Compact closed categories have found applications in modeling quantum information protocols by Abramsky-Coecke. They also provide semantics for Lambek's pregroup algebras, applied…
A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure
Stephen Clark, Bob Coecke, Edward Grefenstette +2
We discuss an algorithm which produces the meaning of a sentence given meanings of its words, and its resemblance to quantum teleportation. In fact, this protocol was the main sour…
Concrete Sentence Spaces for Compositional Distributional Models of Meaning
Edward Grefenstette, Mehrnoosh Sadrzadeh, Stephen Clark +2
Coecke, Sadrzadeh, and Clark (arXiv:1003.4394v1 [cs.CL]) developed a compositional model of meaning for distributional semantics, in which each word in a sentence has a meaning vec…
Compiling a Partition-Based Two-Level Formalism
Edmund Grimley-Evans, George Anton Kiraz, Stephen G. Pulman
This paper describes an algorithm for the compilation of a two (or more) level orthographic or phonological rule notation into finite state transducers. The notation is an alternat…
CLARE: A Contextual Reasoning and Cooperative Response Framework for the Core Language Engine
Hiyan Alshawi, David Carter, Richard Crouch +3
This report describes the research, design and implementation work carried out in building the CLARE system at SRI International, Cambridge, England. CLARE was designed as a natura…