84 citations · 248 across the 19 of their papers we have counts for
10 papers · 1 filter
Structure-Grounded Pretraining for Text-to-SQL
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek +3
Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to grou…
Adaptive Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu +4
Sequence labeling is an important technique employed for many Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog systems and s…
Uncertainty-aware Self-training for Text Classification with Few Labels
Subhabrata Mukherjee, Ahmed Hassan Awadallah
Recent success of large-scale pre-trained language models crucially hinge on fine-tuning them on large amounts of labeled data for the downstream task, that are typically expensive…
Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
Ahmed Elgohary, Saghar Hosseini, Ahmed Hassan Awadallah
We study the task of semantic parse correction with natural language feedback. Given a natural language utterance, most semantic parsing systems pose the problem as one-shot transl…
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan +2
Software engineers spend a substantial amount of time using Web search to accomplish software engineering tasks. Such search tasks include finding code snippets, API documentation,…
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata Mukherjee, Guoqing Zheng +3
Email remains one of the most frequently used means of online communication. People spend a significant amount of time every day on emails to exchange information, manage tasks and…
Smart To-Do : Automatic Generation of To-Do Items from Emails
Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa +2
Intelligent features in email service applications aim to increase productivity by helping people organize their folders, compose their emails and respond to pending tasks. In this…
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
Subhabrata Mukherjee, Ahmed Awadallah
Deep and large pre-trained language models are the state-of-the-art for various natural language processing tasks. However, the huge size of these models could be a deterrent to us…
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini +2
Multilingual representations embed words from many languages into a single semantic space such that words with similar meanings are close to each other regardless of the language.…
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
Kai Shu, Guoqing Zheng, Yichuan Li +4
Social media has greatly enabled people to participate in online activities at an unprecedented rate. However, this unrestricted access also exacerbates the spread of misinformatio…