What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Natural language processing
- Statistics
Timothy Baldwin mainly focuses on Artificial intelligence, Natural language processing, Information retrieval, Speech recognition and Word.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Social media and Machine learning.
His research in Natural language processing is mostly concerned with WordNet.
Timothy Baldwin has included themes like Ranking, Context and Text normalization in his Information retrieval study.
The study incorporates disciplines such as Top-down parsing, Syntax, Support vector machine and Semantic feature in addition to Speech recognition.
Timothy Baldwin interconnects Embedding, Extension and Source code in the investigation of issues within Word.
His most cited work include:
- Multiword Expressions: A Pain in the Neck for NLP (804 citations)
- Automatic Evaluation of Topic Coherence (503 citations)
- Lexical Normalisation of Short Text Messages: Makn Sens a #twitter (398 citations)
What are the main themes of his work throughout his whole career to date?
Timothy Baldwin mostly deals with Artificial intelligence, Natural language processing, Information retrieval, Word and Machine learning.
His Artificial intelligence research includes elements of Context and Grammar.
The study of Natural language processing is intertwined with the study of Speech recognition in a number of ways.
His Information retrieval study frequently links to related topics such as World Wide Web.
His Sentence research extends to the thematically linked field of Word.
Many of his studies on Machine translation apply to Translation as well.
He most often published in these fields:
- Artificial intelligence (64.14%)
- Natural language processing (55.01%)
- Information retrieval (19.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (64.14%)
- Natural language processing (55.01%)
- Information retrieval (19.15%)
In recent papers he was focusing on the following fields of study:
Timothy Baldwin mainly investigates Artificial intelligence, Natural language processing, Information retrieval, Word and Machine learning.
His Artificial intelligence research is multidisciplinary, incorporating elements of Domain and Context.
His Natural language processing study typically links adjacent topics like Toponymy.
His Information extraction study in the realm of Information retrieval interacts with subjects such as Document quality.
His work deals with themes such as Unified Medical Language System, Utterance, Speech act and Cross lingual, which intersect with Word.
His Machine learning study incorporates themes from Adversarial system and BLEU.
Between 2018 and 2021, his most popular works were:
- Automatic Language Identification in Texts: A Survey (67 citations)
- Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics (32 citations)
- Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Programming language
Artificial intelligence, Natural language processing, Information retrieval, Machine learning and Context are his primary areas of study.
Timothy Baldwin combines subjects such as Ranking and Empirical research with his study of Artificial intelligence.
His Natural language processing study combines topics in areas such as Word and Toponymy.
His work on Geographic information retrieval is typically connected to Web query classification as part of general Information retrieval study, connecting several disciplines of science.
His Feature, Continual learning and Transfer of learning study in the realm of Machine learning connects with subjects such as Extractor.
His Context research is multidisciplinary, relying on both Class, Random forest and Measure.
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.
