natural language processing

Graph2Seq: A Generalized Seq2Seq Model for Graph Inputs

In a recent paper “Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks,” we describe a general end-to-end Graph-to-Sequence attention-based neural encoder-decoder architecture that encodes an input graph and decodes the target sequence. Graph encoder and attention-based decoder are two important building blocks in the development and widespread acceptance of machine learning solutions. Two of […]

Continue reading

Word Mover’s Embedding: Universal Text Embedding from Word2Vec

Text representation plays an important role in many natural language processing (NLP) tasks such as document classification and clustering, sense disambiguation, machine translation, and document matching. Since there are no explicit features in text, developing effective text representations is an important goal in AI and NLP research. A fundamental challenge in this respect is learning […]

Continue reading

Towards Language Inference in Medicine

Recent times have witnessed significant progress in natural language understanding by AI, such as machine translation and question answering. A vital reason behind these developments is the creation of datasets, which use machine learning models to learn and perform a specific task. Construction of such datasets in the open domain often consists of text originating […]

Continue reading

Improving AI’s Language Skills at ACL 2018

The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018) will be held July 15–20 in Melbourne, Australia. ACL received 1,544 submissions and accepted 384, for an overall acceptance rate of 24.9 percent. IBM Research AI will present multiple papers at ACL 2018 and is proud to be a Gold sponsor. Please plan […]

Continue reading

Natural Language Processing Facilitates Collaborative Decisions

The Decision Science, AI and Natural Language Processing team at IBM Research-Ireland recently presented a conference paper called “Decision Conversations Decoded” at the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT). The team also presented a demo of our virtual assistant prototype, which analyses collaborative decision […]

Continue reading

Using AI and science to predict heart failure

Heart disease has been the leading cause of death for decades in the United States so it’s no surprise that heart failure rates, which is a specific type of heart disease characterized by when the heart is too weak to pump blood throughout the body, are on the rise. In fact, the number of American […]

Continue reading

The science of tutoring Watson to understand Korean

Born and raised in India, Abe Ittycheriah, has had a fairly cosmopolitan upbringing. He’s also lived in Mexico City and St. Johns in Newfoundland; he went to high school in New Mexico and did his PhD in Electrical Engineering at Rutgers University in New Jersey. While Abe confesses that he isn’t multilingual, he is fluent […]

Continue reading