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1
Automatic Dialect Density Estimation for African American English ...
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2
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization ...
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3
Dialogue State Tracking with a Language Model using Schema-Driven Prompting ...
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4
A Controllable Model of Grounded Response Generation ...
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5
Neural Models for Integrating Prosody in Spoken Language Understanding
Tran, Trang. - 2020
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6
Automatic Analysis of Language Use in K-16 STEM Education and Impact on Student Performance
Nadeem, Farah. - 2020
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7
Asynchronous Speech Recognition Affects Physician Editing of Notes
Lybarger, Kevin J.; Ostendorf, Mari; Riskin, Eve. - : Georg Thieme Verlag KG, 2018
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8
Low-Rank RNN Adaptation for Context-Aware Language Modeling
Jaech, Aaron. - 2018
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9
Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information ...
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10
Effective Use of Cross-Domain Parsing in Automatic Speech Recognition and Error Detection
Marin, Marius. - 2015
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11
Automatic Characterization of Text Difficulty
Medero, Julie. - 2014
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12
Data Selection for Statistical Machine Translation
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13
Rank and Sparsity in Language Processing
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14
Graph-based Algorithms for Lexical Semantics and its Applications
Wu, Wei. - 2012
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15
NXT Switchboard Annotations
Calhoun, Sasha; Carletta, Jean; Jurafsky, Daniel. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009
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16
NXT Switchboard Annotations ...
Abstract:

Introduction

NXT Switchboard Annotations, brings together in NITE XML, a single XML format, the multiple layers of annotation performed on a transcript subset from Switchboard 1- Release 2, LDC97S62. NXT Switchboard Annotations was developed in a collaboration among researchers from Edinburgh University, Stanford University and the University of Washington. The original Switchboard corpus is a collection of spontaneous telephone conversations between previously unacquainted speakers of American English on a variety of topics chosen from a pre-determined list. A subset of one million words from those conversations was annotated for syntactic structure and disfluencies as part of the Penn Treebank project. Phonetic transcripts were generated by the International Computer Science ...
URL: https://catalog.ldc.upenn.edu/LDC2009T26
https://dx.doi.org/10.35111/nn2p-v103
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17
Effective Use of Prosody in Parsing Conversational Speech
Kahn, J; Lease, Matthew; Charniak, Eugene. - : East Stroudsburg, PA : Association for Computational Linguistics, 2005
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18
Human Language Technology: Opportunities and Challenges
In: DTIC (2005)
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19
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
In: DTIC (2004)
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20
Parsing Conversational Speech Using Enhanced Segmentation
In: DTIC (2004)
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