4 papers
Look-up and Adapt: A One-shot Semantic Parser
Zhichu Lu, Forough Arabshahi, Igor Labutov +1
Computing devices have recently become capable of interacting with their end users via natural language. However, they can only operate within a limited "supported" domain of disco…
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Igor Labutov, Bishan Yang, Anusha Prakash +1
Question Answering (QA), as a research field, has primarily focused on either knowledge bases (KBs) or free text as a source of knowledge. These two sources have historically shape…
Learning to Learn Semantic Parsers from Natural Language Supervision
Igor Labutov, Bishan Yang, Tom Mitchell
As humans, we often rely on language to learn language. For example, when corrected in a conversation, we may learn from that correction, over time improving our language fluency.…
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Siddharth Reddy, Igor Labutov, Thorsten Joachims
Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Laten…