2012 - ACM Senior Member
Amanda Stent focuses on Artificial intelligence, Natural language processing, Human–computer interaction, Information retrieval and Listing. Her study in the field of Spoken language is also linked to topics like Population. The concepts of her Natural language processing study are interwoven with issues in Dependency and Web application.
Her Human–computer interaction study combines topics from a wide range of disciplines, such as Conversational speech, Conversation, Interpretation and Software portability. Her Information retrieval study combines topics in areas such as Annotation, Event, Representation and Noise. In her research on the topic of Listing, Voice search is strongly related with Language model.
Her primary areas of investigation include Artificial intelligence, Natural language processing, Dialog box, Speech recognition and Information retrieval. The study incorporates disciplines such as Machine learning and Human–computer interaction in addition to Artificial intelligence. Her study in Human–computer interaction is interdisciplinary in nature, drawing from both User interface and Presentation.
Amanda Stent interconnects Context and Adaptation in the investigation of issues within Natural language processing. Her Dialog box research includes elements of Computational linguistics and Semantic interpretation. Her biological study spans a wide range of topics, including Event and Web page.
Amanda Stent focuses on Artificial intelligence, Natural language processing, Information retrieval, Speech recognition and Set. Her Artificial intelligence study combines topics from a wide range of disciplines, such as Agreement and Machine learning. Her Natural language processing research incorporates themes from Textual entailment, Dialog box, Narrative and Benchmark.
Her work in the fields of Dialog box, such as Dialog system, intersects with other areas such as Proof of concept. Her research in Information retrieval intersects with topics in Web page, Data mining, User profile and Knowledge base. In her research, Spoken language and Quantization is intimately related to Mobile device, which falls under the overarching field of Speech recognition.
Amanda Stent mainly investigates Artificial intelligence, Natural language processing, Automatic summarization, Set and Information retrieval. Artificial intelligence and Error analysis are two areas of study in which she engages in interdisciplinary research. Amanda Stent combines subjects such as Document processing, Named-entity recognition and Benchmark with her study of Natural language processing.
The concepts of her Information retrieval study are interwoven with issues in Unsupervised learning, Entity linking and Memory footprint. Her Dialog system study is focused on Dialog box in general. Her Dialog box study incorporates themes from Set, Real-time computing, State and Human–computer interaction.
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Toward Conversational Human-Computer Interaction
James F. Allen;Donna K. Byron;Myroslava O. Dzikovska;George Ferguson.
Ai Magazine (2001)
TVSum: Summarizing web videos using titles
Yale Song;Jordi Vallmitjana;Amanda Stent;Alejandro Jaimes.
computer vision and pattern recognition (2015)
An architecture for more realistic conversational systems
James Allen;George Ferguson;Amanda Stent.
intelligent user interfaces (2001)
Authentication Techniques Utilizing a Computing Device
Ilija Zeljkovic;Robert J. Andres;Jerry Birkes;W. Drake Ii Alton.
MATCH: An Architecture for Multimodal Dialogue Systems
Michael Johnston;SrinivasBangalore;Gunaranjan Vasireddy;Amanda Stent.
meeting of the association for computational linguistics (2002)
Systems and methods for creating and using geo-centric language models
Amanda Stent;Diamantino Caseiro;Ilija Zeljkovic;Jay Wilpon.
The CommandTalk Spoken Dialogue System
Amanda Stent;John Doweling;Jean Mark Gawron;Elizabeth Owen Bratt.
meeting of the association for computational linguistics (1999)
An architecture for a generic dialogue shell
James Allen;Donna Byron;Myroslava Dzikovska;George Ferguson.
Natural Language Engineering (2000)
Geo-Centric Language Models for Local Business Voice Search
Amanda Stent;Ilija Zeljkovic;Diamantino Caseiro;Jay Wilpon.
north american chapter of the association for computational linguistics (2009)
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool
Jinho D. Choi;Joel Tetreault;Amanda Stent.
international joint conference on natural language processing (2015)
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