What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Natural language processing
- Machine translation
William B. Dolan focuses on Artificial intelligence, Natural language processing, Information retrieval, Machine translation and Paraphrase.
In general Artificial intelligence study, his work on Natural language, Semantic relationship and Logical form often relates to the realm of Structuring and String, thereby connecting several areas of interest.
His work on Semantic information as part of general Information retrieval research is frequently linked to Geography, Type and Resource, bridging the gap between disciplines.
His research in Machine translation intersects with topics in Field, Speech recognition and Data mining.
William B. Dolan interconnects Response generation, Social media, Data-driven and Phrase in the investigation of issues within Speech recognition.
His Paraphrase research includes elements of Sentence, Measure and Pattern recognition.
His most cited work include:
- Collecting Highly Parallel Data for Paraphrase Evaluation (549 citations)
- Automatically Constructing a Corpus of Sentential Paraphrases. (532 citations)
- Data-Driven Response Generation in Social Media (484 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Information retrieval, Machine translation and Paraphrase.
His Artificial intelligence study frequently draws parallels with other fields, such as Context.
His Natural language processing research incorporates themes from Speech recognition and Word.
His research integrates issues of Variety and Index in his study of Information retrieval.
His Machine translation research is multidisciplinary, incorporating perspectives in Field, Data mining, Measure and Rule-based machine translation.
He has included themes like Example-based machine translation, Transfer-based machine translation and Phrase in his Sentence study.
He most often published in these fields:
- Artificial intelligence (77.94%)
- Natural language processing (75.00%)
- Information retrieval (19.12%)
What were the highlights of his more recent work (between 2009-2015)?
- Artificial intelligence (77.94%)
- Natural language processing (75.00%)
- Paraphrase (14.71%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Natural language processing, Paraphrase, Stimulus and Response generation.
His work on Machine translation and Phrase as part of his general Artificial intelligence study is frequently connected to Set, thereby bridging the divide between different branches of science.
His studies deal with areas such as Field and Data mining, Measure as well as Machine translation.
His Natural language processing study incorporates themes from Feature and Classifier.
The various areas that William B. Dolan examines in his Paraphrase study include Representation, Enhanced Data Rates for GSM Evolution, Natural language understanding and Node.
William B. Dolan combines subjects such as Natural language and Context data with his study of Response generation.
Between 2009 and 2015, his most popular works were:
- Collecting Highly Parallel Data for Paraphrase Evaluation (549 citations)
- Data-Driven Response Generation in Social Media (484 citations)
- Extracting Lexically Divergent Paraphrases from Twitter (94 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Natural language processing
- Machine translation
William B. Dolan focuses on Artificial intelligence, Natural language processing, Paraphrase, Machine translation and Phrase.
His study of Artificial intelligence brings together topics like Code segment, Simple and Latent variable model.
Lattice, Representation, Enhanced Data Rates for GSM Evolution, Node and PATH are fields of study that intersect with his Code segment research.
In his papers, he integrates diverse fields, such as Simple, Measure, Scale, Data mining and Field.
William B. Dolan integrates several fields in his works, including Latent variable model, Complement, Sentence, Word, Annotation and Classifier.
His Phrase study combines topics in areas such as Response generation, Social media, Speech recognition and Data-driven.
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