H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 67 Citations 14,866 208 World Ranking 998 National Ranking 593

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to text-to-speech synthesis and spoken language understanding

2017 - Member of the National Academy of Engineering For contributions to the use of prosody in text-to-speech and spoken dialogue systems, and to audio browsing and retrieval.

2015 - ACM Fellow For contributions to spoken language processing.

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Natural language processing
  • Speech recognition

Her scientific interests lie mostly in Natural language processing, Artificial intelligence, Speech recognition, Structure and Intonation. Her Natural language processing study integrates concerns from other disciplines, such as Variation, Utterance, Speech synthesis and Set. As part of her studies on Artificial intelligence, she often connects relevant areas like Reliability.

The study incorporates disciplines such as Recall, Mexican Spanish, Phrase and Statistical model in addition to Speech recognition. The Intonation study which covers Pitch accent that intersects with Interpretation, Meaning, Orthography, Part of speech and Adverbial. Her Speech corpus research is multidisciplinary, relying on both Prosody and Subject.

Her most cited work include:

  • The meaning of intonational contours in the interpretation of discourse (816 citations)
  • V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure (775 citations)
  • TOBI: a standard for labeling English prosody. (650 citations)

What are the main themes of her work throughout her whole career to date?

Julia Hirschberg focuses on Artificial intelligence, Natural language processing, Speech recognition, Prosody and Information technology. Her work carried out in the field of Artificial intelligence brings together such families of science as Variation, Context and Set. Her Natural language processing research incorporates elements of Speech corpus and Speech synthesis.

Her Speech recognition research is multidisciplinary, incorporating perspectives in Segmentation, American English and Word. Julia Hirschberg performs integrative Information technology and Presentation research in her work.

She most often published in these fields:

  • Artificial intelligence (44.21%)
  • Natural language processing (41.77%)
  • Speech recognition (33.84%)

What were the highlights of her more recent work (between 2013-2021)?

  • Artificial intelligence (44.21%)
  • Natural language processing (41.77%)
  • Speech recognition (33.84%)

In recent papers she was focusing on the following fields of study:

Her primary scientific interests are in Artificial intelligence, Natural language processing, Speech recognition, Deception and Entrainment. She interconnects Prosody and Set in the investigation of issues within Artificial intelligence. Her biological study deals with issues like Code, which deal with fields such as Focus and Named-entity recognition.

Her work in the fields of Speech recognition, such as Speech synthesis, Utterance and Word error rate, overlaps with other areas such as Data selection and Naturalness. Her research in Speech synthesis intersects with topics in Hidden Markov model and Machine translation. As part of one scientific family, she deals mainly with the area of Deception, narrowing it down to issues related to the Cognitive psychology, and often Perception.

Between 2013 and 2021, her most popular works were:

  • Advances in natural language processing. (429 citations)
  • Overview for the First Shared Task on Language Identification in Code-Switched Data (138 citations)
  • The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language (89 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Natural language processing
  • Programming language

Her main research concerns Artificial intelligence, Natural language processing, Deception, Speech recognition and Entrainment. Her study brings together the fields of Chemistry and Artificial intelligence. She incorporates Natural language processing and Code in her studies.

Her studies in Deception integrate themes in fields like Cognitive psychology, Set, Phonotactics, Applied psychology and Personality. Julia Hirschberg studies Word error rate which is a part of Speech recognition. The concepts of her Utterance study are interwoven with issues in Annotation and Intelligibility.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

The meaning of intonational contours in the interpretation of discourse

Janet Pierrehumbert;Julia Bell Hirschberg.
Intentions in Communication (1990)

2338 Citations

TOBI: a standard for labeling English prosody.

Kim E. A. Silverman;Mary E. Beckman;John F. Pitrelli;Mari Ostendorf.
conference of the international speech communication association (1992)

1789 Citations

V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

Andrew Rosenberg;Julia Hirschberg.
empirical methods in natural language processing (2007)

1276 Citations

A theory of scalar implicature

Julia Linn Bell Hirschberg.
(1985)

770 Citations

Advances in natural language processing.

Julia Hirschberg;Christopher D. Manning.
Science (2015)

709 Citations

The original ToBI system and the evolution of the ToBI framework

Mary E. Beckman;Julia Hirschberg;Stefanie Shattuck-Hufnagel.
(2003)

627 Citations

Tonal alignment patterns in Spanish

Pilar Prieto;Jan van Santen;Julia Hirschberg.
Journal of Phonetics (1995)

502 Citations

Implicating Uncertainty: The Pragmatics of Fall-Rise Intonation

Gregory Ward;Julia Hirschberg.
Language (1985)

471 Citations

Evaluation of prosodic transcription labeling reliability in the tobi framework.

John F. Pitrelli;Mary E. Beckman;Julia Hirschberg.
conference of the international speech communication association (1994)

456 Citations

Detecting Hate Speech on the World Wide Web

William Warner;Julia Hirschberg.
Proceedings of the Second Workshop on Language in Social Media (2012)

455 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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