What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Natural language processing
- Machine learning
Ralph Weischedel mainly investigates Artificial intelligence, Natural language processing, Annotation, Structure and Information retrieval.
His Artificial intelligence research includes elements of Algorithm, Machine learning and Speech recognition.
The various areas that Ralph Weischedel examines in his Speech recognition study include Translation, Postediting, Hybrid machine translation and Interactive machine translation.
His research ties Probabilistic logic and Natural language processing together.
His research integrates issues of Semantic analysis, Semantic representation, Coreference and Semantic network in his study of Annotation.
His Information retrieval course of study focuses on Language model and Question answering and Human–computer information retrieval.
His most cited work include:
- A Study of Translation Edit Rate with Targeted Human Annotation (1948 citations)
- An Algorithm that Learns What‘s in a Name (747 citations)
- The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation (683 citations)
What are the main themes of his work throughout his whole career to date?
Ralph Weischedel focuses on Artificial intelligence, Natural language processing, Information retrieval, Natural language and Language model.
His Artificial intelligence research integrates issues from Machine learning and Speech recognition.
The concepts of his Natural language processing study are interwoven with issues in Annotation and Probabilistic logic.
His Information retrieval study combines topics from a wide range of disciplines, such as Set and Simple Features.
His work focuses on many connections between Natural language and other disciplines, such as Semantics, that overlap with his field of interest in Text processing.
His studies in Language model integrate themes in fields like Sentence, Computational linguistics and Computation.
He most often published in these fields:
- Artificial intelligence (76.11%)
- Natural language processing (61.06%)
- Information retrieval (15.93%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (76.11%)
- Natural language processing (61.06%)
- Language model (14.16%)
In recent papers he was focusing on the following fields of study:
Ralph Weischedel mainly focuses on Artificial intelligence, Natural language processing, Language model, Human–computer interaction and Quality.
His studies deal with areas such as Decision problem and Relation as well as Artificial intelligence.
His studies in Natural language processing integrate themes in fields like Annotation and Rule-based system.
His studies deal with areas such as Cohesion, Narrative text, Sentence and Natural language understanding as well as Language model.
His biological study spans a wide range of topics, including Metric and Natural language.
As a member of one scientific family, Ralph Weischedel mostly works in the field of Quality, focusing on Open domain and, on occasion, Machine learning.
Between 2015 and 2021, his most popular works were:
- Plan-And-Write: Towards Better Automatic Storytelling (47 citations)
- OntoNotes Release 5.0 (24 citations)
- Content Planning for Neural Story Generation with Aristotelian Rescoring (13 citations)
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